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Marcel Ackermann
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Marcel Ackermann
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Chang Xu
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Lima, Peru
Javier Antonio
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Dhaka, Bangladesh
Nurul Akter Towhid
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Data Nigeria
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Hazrat Ali
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Liad Magen Magen
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Lily Xu
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Murat Karademir
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Accra, Ghana
niilante Lawson
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Nan Lu
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Cairo, Alex, Egypt
Marc Banoub
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Lagos, Nigeria
'Kayode Akanni
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Eva Pelster
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Eva Pelster
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Sukanya Mandal
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Shruti Karulkar
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Andrea Pessl
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Andrea Pessl
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Andrea Pessl
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Paul Edache
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Paul Edache
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Chain Zhang
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Ardhendu Tripathy
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Olivia Muza
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Olivia Muza
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Søren Hauberg
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Hsuan-Tien Lin
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Olayinka Oluwafemi
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Eloise Gleek
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Nazim Bendib
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Robert Maria
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Robert Maria
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Cambridge, UK
Vincent Dutordoir
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Nantes, France
F Sanson
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Mah Parsa
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Mah Parsa
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Paul Beaumont
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Inês Pedro
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Elnaz None Babayeva
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Heiner Kremer
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Nurul Akter Towhid
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Hazrat Ali
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Luís Espírito Santo
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Freiburg, Germany
David Hübner
Spotlight
Reinforcement Learning in Newcomblike Environments
James Bell · Linda Linsefors · Caspar Oesterheld · Joar Skalse
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Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem
Adarsh Barik · Jean Honorio
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Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations
Ayush Sekhari · Christoph Dann · Mehryar Mohri · Yishay Mansour · Karthik Sridharan
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Efficiently Identifying Task Groupings for Multi-Task Learning
Chris Fifty · Ehsan Amid · Zhe Zhao · Tianhe Yu · Rohan Anil · Chelsea Finn
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FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Samuel Horváth · Stefanos Laskaridis · Mario Almeida · Ilias Leontiadis · Stylianos Venieris · Nicholas Lane
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Coresets for Decision Trees of Signals
Ibrahim Jubran · Ernesto Evgeniy Sanches Shayda · Ilan I Newman · Dan Feldman
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Early-stopped neural networks are consistent
Ziwei Ji · Justin Li · Matus Telgarsky
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Variational Inference for Continuous-Time Switching Dynamical Systems
Lukas Köhs · Bastian Alt · Heinz Koeppl
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The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning
Shahab Bakhtiari · Patrick Mineault · Timothy Lillicrap · Christopher Pack · Blake Richards
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DiBS: Differentiable Bayesian Structure Learning
Lars Lorch · Jonas Rothfuss · Bernhard Schölkopf · Andreas Krause
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Node Dependent Local Smoothing for Scalable Graph Learning
Wentao Zhang · Mingyu Yang · Zeang Sheng · Yang Li · Wen Ouyang · Yangyu Tao · Zhi Yang · Bin CUI
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On the Power of Differentiable Learning versus PAC and SQ Learning
Emmanuel Abbe · Pritish Kamath · Eran Malach · Colin Sandon · Nathan Srebro
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ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
Guocheng Qian · Hasan Hammoud · Guohao Li · Ali Thabet · Bernard Ghanem
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Private Non-smooth ERM and SCO in Subquadratic Steps
Janardhan Kulkarni · Yin Tat Lee · Daogao Liu
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Neural Additive Models: Interpretable Machine Learning with Neural Nets
Rishabh Agarwal · Levi Melnick · Nicholas Frosst · Xuezhou Zhang · Ben Lengerich · Rich Caruana · Geoffrey Hinton
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Optimal Sketching for Trace Estimation
Shuli Jiang · Hai Pham · David Woodruff · Richard Zhang
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Neural Scene Flow Prior
Xueqian Li · Jhony Kaesemodel Pontes · Simon Lucey
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Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis
Qi CHEN · Changjian Shui · Mario Marchand
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Littlestone Classes are Privately Online Learnable
Noah Golowich · Roi Livni
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Excess Capacity and Backdoor Poisoning
Naren Manoj · Avrim Blum
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Foundations of Symbolic Languages for Model Interpretability
Marcelo Arenas · Daniel Báez · Pablo Barceló · Jorge Pérez · Bernardo Subercaseaux
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Subgroup Generalization and Fairness of Graph Neural Networks
Jiaqi Ma · Junwei Deng · Qiaozhu Mei
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Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval
Omar Khattab · Christopher Potts · Matei Zaharia
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Combiner: Full Attention Transformer with Sparse Computation Cost
Hongyu Ren · Hanjun Dai · Zihang Dai · Mengjiao Yang · Jure Leskovec · Dale Schuurmans · Bo Dai
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Coresets for Time Series Clustering
Lingxiao Huang · K Sudhir · Nisheeth Vishnoi
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Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms
Chi Jin · Qinghua Liu · Sobhan Miryoosefi
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Uniform Sampling over Episode Difficulty
Sébastien Arnold · Guneet Dhillon · Avinash Ravichandran · Stefano Soatto
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Uncertain Decisions Facilitate Better Preference Learning
Cassidy Laidlaw · Stuart Russell
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Regulating algorithmic filtering on social media
Sarah Cen · Devavrat Shah
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Sequential Algorithms for Testing Closeness of Distributions
Aadil Oufkir · Omar Fawzi · Nicolas Flammarion · Aurélien Garivier
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A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms
Anand Kalvit · Assaf Zeevi
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Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space
Sandesh Ghimire · Aria Masoomi · Jennifer Dy
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Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
Kartik Ahuja · Ethan Caballero · Dinghuai Zhang · Jean-Christophe Gagnon-Audet · Yoshua Bengio · Ioannis Mitliagkas · Irina Rish
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Reward is enough for convex MDPs
Tom Zahavy · Brendan O'Donoghue · Guillaume Desjardins · Satinder Singh
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Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning
Yiqin Yang · Xiaoteng Ma · Li Chenghao · Zewu Zheng · Qiyuan Zhang · Gao Huang · Jun Yang · Qianchuan Zhao
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On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method
Junyu Zhang · Chengzhuo Ni · zheng Yu · Csaba Szepesvari · Mengdi Wang
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Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices
Federico López · Beatrice Pozzetti · Steve Trettel · Michael Strube · Anna Wienhard
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SOFT: Softmax-free Transformer with Linear Complexity
Jiachen Lu · Jinghan Yao · Junge Zhang · Xiatian Zhu · Hang Xu · Weiguo Gao · Chunjing XU · Tao Xiang · Li Zhang
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DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks
Pál András Papp · Karolis Martinkus · Lukas Faber · Roger Wattenhofer
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Lower and Upper Bounds on the Pseudo-Dimension of Tensor Network Models
Behnoush Khavari · Guillaume Rabusseau
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Repulsive Deep Ensembles are Bayesian
Francesco D'Angelo · Vincent Fortuin
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Batch Normalization Orthogonalizes Representations in Deep Random Networks
Hadi Daneshmand · Amir Joudaki · Francis Bach
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Mixability made efficient: Fast online multiclass logistic regression
Rémi Jézéquel · Pierre Gaillard · Alessandro Rudi
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Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency
Anish Chakrabarty · Swagatam Das
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Intriguing Properties of Vision Transformers
Muhammad Muzammal Naseer · Kanchana Ranasinghe · Salman H Khan · Munawar Hayat · Fahad Shahbaz Khan · Ming-Hsuan Yang
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Precise characterization of the prior predictive distribution of deep ReLU networks
Lorenzo Noci · Gregor Bachmann · Kevin Roth · Sebastian Nowozin · Thomas Hofmann
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Practical Near Neighbor Search via Group Testing
Joshua Engels · Benjamin Coleman · Anshumali Shrivastava
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Robust Learning of Optimal Auctions
Wenshuo Guo · Michael Jordan · Emmanouil Zampetakis
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Pragmatic Image Compression for Human-in-the-Loop Decision-Making
Sid Reddy · Anca Dragan · Sergey Levine
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Learning Disentangled Behavior Embeddings
Changhao Shi · Sivan Schwartz · Shahar Levy · Shay Achvat · Maisan Abboud · Amir Ghanayim · Jackie Schiller · Gal Mishne
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Interactive Label Cleaning with Example-based Explanations
Stefano Teso · Andrea Bontempelli · Fausto Giunchiglia · Andrea Passerini
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Neural Symplectic Form: Learning Hamiltonian Equations on General Coordinate Systems
Yuhan Chen · Takashi Matsubara · Takaharu Yaguchi
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Habitat 2.0: Training Home Assistants to Rearrange their Habitat
Andrew Szot · Alexander Clegg · Eric Undersander · Erik Wijmans · Yili Zhao · John Turner · Noah Maestre · Mustafa Mukadam · Devendra Singh Chaplot · Oleksandr Maksymets · Aaron Gokaslan · Vladimír Vondruš · Sameer Dharur · Franziska Meier · Wojciech Galuba · Angel Chang · Zsolt Kira · Vladlen Koltun · Jitendra Malik · Manolis Savva · Dhruv Batra
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Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning
Kai Wang · Sanket Shah · Haipeng Chen · Andrew Perrault · Finale Doshi-Velez · Milind Tambe
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Embedding Principle of Loss Landscape of Deep Neural Networks
Yaoyu Zhang · Zhongwang Zhang · Tao Luo · Zhiqin J Xu
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The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning
Yujin Tang · David Ha
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Exact marginal prior distributions of finite Bayesian neural networks
Jacob Zavatone-Veth · Cengiz Pehlevan
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Is Automated Topic Model Evaluation Broken? The Incoherence of Coherence
Alexander Hoyle · Pranav Goel · Andrew Hian-Cheong · Denis Peskov · Jordan Boyd-Graber · Philip Resnik
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iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder
Shifeng Zhang · Ning Kang · Tom Ryder · Zhenguo Li
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Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach
Fan Yang · Kai He · Linxiao Yang · Hongxia Du · Jingbang Yang · Bo Yang · Liang Sun
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SPANN: Highly-efficient Billion-scale Approximate Nearest Neighborhood Search
Qi Chen · Bing Zhao · Haidong Wang · Mingqin Li · Chuanjie Liu · Zengzhong Li · Mao Yang · Jingdong Wang
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Across-animal odor decoding by probabilistic manifold alignment
Pedro Herrero-Vidal · Dmitry Rinberg · Cristina Savin
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Private learning implies quantum stability
Yihui Quek · Srinivasan Arunachalam · John A Smolin
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Credit Assignment in Neural Networks through Deep Feedback Control
Alexander Meulemans · Matilde Tristany Farinha · Javier Garcia Ordonez · Pau Vilimelis Aceituno · João Sacramento · Benjamin F. Grewe
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Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation
Hideaki Kim
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Collaborating with Humans without Human Data
DJ Strouse · Kevin McKee · Matt Botvinick · Edward Hughes · Richard Everett
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Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems
Tianyi Chen · Yuejiao Sun · Wotao Yin
Spotlight
Continuous vs. Discrete Optimization of Deep Neural Networks
Omer Elkabetz · Nadav Cohen
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Learning to Compose Visual Relations
Nan Liu · Shuang Li · Yilun Du · Josh Tenenbaum · Antonio Torralba
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Explaining Latent Representations with a Corpus of Examples
Jonathan Crabbe · Zhaozhi Qian · Fergus Imrie · Mihaela van der Schaar
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Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning
Hayeon Lee · Sewoong Lee · Song Chong · Sung Ju Hwang
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Program Synthesis Guided Reinforcement Learning for Partially Observed Environments
Yichen Yang · Jeevana Priya Inala · Osbert Bastani · Yewen Pu · Armando Solar-Lezama · Martin Rinard
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Online Active Learning with Surrogate Loss Functions
Giulia DeSalvo · Claudio Gentile · Tobias Sommer Thune
Spotlight
Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothness
Ankit Garg · Robin Kothari · Praneeth Netrapalli · Suhail Sherif
Spotlight
On the Existence of The Adversarial Bayes Classifier
Pranjal Awasthi · Natalie Frank · Mehryar Mohri
Spotlight
Doubly Robust Thompson Sampling with Linear Payoffs
Wonyoung Kim · Gi-Soo Kim · Myunghee Cho Paik
Spotlight
Clustering Effect of Adversarial Robust Models
Yang Bai · Xin Yan · Yong Jiang · Shu-Tao Xia · Yisen Wang
Spotlight
Numerical Composition of Differential Privacy
Sivakanth Gopi · Yin Tat Lee · Lukas Wutschitz
Spotlight
Counterfactual Invariance to Spurious Correlations in Text Classification
Victor Veitch · Alexander D'Amour · Steve Yadlowsky · Jacob Eisenstein
Spotlight
Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning
Alberto Maria Metelli · Alessio Russo · Marcello Restelli
Spotlight
Unintended Selection: Persistent Qualification Rate Disparities and Interventions
Reilly Raab · Yang Liu
Spotlight
Profiling Pareto Front With Multi-Objective Stein Variational Gradient Descent
Xingchao Liu · Xin Tong · Qiang Liu
Spotlight
Improved Coresets and Sublinear Algorithms for Power Means in Euclidean Spaces
Vincent Cohen-Addad · David Saulpic · Chris Schwiegelshohn
Spotlight
Iterative Teaching by Label Synthesis
Weiyang Liu · Zhen Liu · Hanchen Wang · Liam Paull · Bernhard Schölkopf · Adrian Weller
Spotlight
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
Lei Ke · Xia Li · Martin Danelljan · Yu-Wing Tai · Chi-Keung Tang · Fisher Yu
Spotlight
A Normative and Biologically Plausible Algorithm for Independent Component Analysis
Yanis Bahroun · Dmitri Chklovskii · Anirvan Sengupta
Spotlight
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD
Rémi Bardenet · Subhroshekhar Ghosh · Meixia LIN
Spotlight
Mind the Gap: Assessing Temporal Generalization in Neural Language Models
Angeliki Lazaridou · Adhi Kuncoro · Elena Gribovskaya · Devang Agrawal · Adam Liska · Tayfun Terzi · Mai Gimenez · Cyprien de Masson d'Autume · Tomas Kocisky · Sebastian Ruder · Dani Yogatama · Kris Cao · Susannah Young · Phil Blunsom
Spotlight
Speedy Performance Estimation for Neural Architecture Search
Robin Ru · Clare Lyle · Lisa Schut · Miroslav Fil · Mark van der Wilk · Yarin Gal
Spotlight
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
Peng Wang · Lingjie Liu · Yuan Liu · Christian Theobalt · Taku Komura · Wenping Wang
Spotlight
Shaping embodied agent behavior with activity-context priors from egocentric video
Tushar Nagarajan · Kristen Grauman
Spotlight
Representation Learning Beyond Linear Prediction Functions
Ziping Xu · Ambuj Tewari
Spotlight
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition
Cheng-I Jeff Lai · Yang Zhang · Alexander Liu · Shiyu Chang · Yi-Lun Liao · Yung-Sung Chuang · Kaizhi Qian · Sameer Khurana · David Cox · Jim Glass
Spotlight
RL for Latent MDPs: Regret Guarantees and a Lower Bound
Jeongyeol Kwon · Yonathan Efroni · Constantine Caramanis · Shie Mannor
Spotlight
Tractable Regularization of Probabilistic Circuits
Anji Liu · Guy Van den Broeck
Spotlight
Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate
Xingyuan Sun · Tianju Xue · Szymon Rusinkiewicz · Ryan Adams
Spotlight
Offline RL Without Off-Policy Evaluation
David Brandfonbrener · Will Whitney · Rajesh Ranganath · Joan Bruna
Spotlight
Learning to See by Looking at Noise
Manel Baradad Jurjo · Jonas Wulff · Tongzhou Wang · Phillip Isola · Antonio Torralba
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Maximum Likelihood Training of Score-Based Diffusion Models
Yang Song · Conor Durkan · Iain Murray · Stefano Ermon
Spotlight
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation
Lin Guan · Mudit Verma · Suna (Sihang) Guo · Ruohan Zhang · Subbarao Kambhampati
Spotlight
Online and Offline Reinforcement Learning by Planning with a Learned Model
Julian Schrittwieser · Thomas Hubert · Amol Mandhane · Mohammadamin Barekatain · Ioannis Antonoglou · David Silver
Spotlight
Learning with Holographic Reduced Representations
Ashwinkumar Ganesan · Hang Gao · Sunil Gandhi · Edward Raff · Tim Oates · James Holt · Mark McLean
Spotlight
Multiwavelet-based Operator Learning for Differential Equations
Gaurav Gupta · Xiongye Xiao · Paul Bogdan
Spotlight
Constrained Robust Submodular Partitioning
Shengjie Wang · Tianyi Zhou · Chandrashekhar Lavania · Jeff A Bilmes
Spotlight
Auditing Black-Box Prediction Models for Data Minimization Compliance
Bashir Rastegarpanah · Krishna Gummadi · Mark Crovella
Spotlight
Efficient Online Estimation of Causal Effects by Deciding What to Observe
Shantanu Gupta · Zachary Lipton · David Childers
Spotlight
On the Representation of Solutions to Elliptic PDEs in Barron Spaces
Ziang Chen · Jianfeng Lu · Yulong Lu
Spotlight
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems
Yiheng Lin · Yang Hu · Guanya Shi · Haoyuan Sun · Guannan Qu · Adam Wierman
Spotlight
What’s a good imputation to predict with missing values?
Marine Le Morvan · Julie Josse · Erwan Scornet · Gael Varoquaux
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Dense Keypoints via Multiview Supervision
Zhixuan Yu · Haozheng Yu · Long Sha · Sujoy Ganguly · Hyun Soo Park
Spotlight
Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities
Miklos Racz · Anirudh Sridhar
Spotlight
A flow-based latent state generative model of neural population responses to natural images
Mohammad Bashiri · Edgar Walker · Konstantin-Klemens Lurz · Akshay Jagadish · Taliah Muhammad · Zhiwei Ding · Zhuokun Ding · Andreas Tolias · Fabian Sinz
Spotlight
Hash Layers For Large Sparse Models
Stephen Roller · Sainbayar Sukhbaatar · arthur szlam · Jason Weston
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H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motion
Hongyi Xu · Thiemo Alldieck · Cristian Sminchisescu
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On Inductive Biases for Heterogeneous Treatment Effect Estimation
Alicia Curth · Mihaela van der Schaar
Spotlight
Understanding the Under-Coverage Bias in Uncertainty Estimation
Yu Bai · Song Mei · Huan Wang · Caiming Xiong
Spotlight
Pruning Randomly Initialized Neural Networks with Iterative Randomization
Daiki Chijiwa · Shin'ya Yamaguchi · Yasutoshi Ida · Kenji Umakoshi · Tomohiro INOUE
Spotlight
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair
Zimin Chen · Vincent J Hellendoorn · Pascal Lamblin · Petros Maniatis · Pierre-Antoine Manzagol · Daniel Tarlow · Subhodeep Moitra
Spotlight
Self-Supervised Learning Disentangled Group Representation as Feature
Tan Wang · Zhongqi Yue · Jianqiang Huang · Qianru Sun · Hanwang Zhang
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Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets
Irene Solaiman · Christy Dennison
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Online Sign Identification: Minimization of the Number of Errors in Thresholding Bandits
Reda Ouhamma · Odalric-Ambrym Maillard · Vianney Perchet
Spotlight
Second-Order Neural ODE Optimizer
Guan-Horng Liu · Tianrong Chen · Evangelos Theodorou
Spotlight
An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence
Agustinus Kristiadi · Matthias Hein · Philipp Hennig
Spotlight
Learning Large Neighborhood Search Policy for Integer Programming
Yaoxin Wu · Wen Song · Zhiguang Cao · Jie Zhang
Spotlight
Task-Adaptive Neural Network Search with Meta-Contrastive Learning
Wonyong Jeong · Hayeon Lee · Geon Park · Eunyoung Hyung · Jinheon Baek · Sung Ju Hwang
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Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret
Jean Tarbouriech · Runlong Zhou · Simon Du · Matteo Pirotta · Michal Valko · Alessandro Lazaric
Spotlight
Double Machine Learning Density Estimation for Local Treatment Effects with Instruments
Yonghan Jung · Jin Tian · Elias Bareinboim
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Covariance-Aware Private Mean Estimation Without Private Covariance Estimation
Gavin Brown · Marco Gaboardi · Adam Smith · Jonathan Ullman · Lydia Zakynthinou
Spotlight
Aligning Pretraining for Detection via Object-Level Contrastive Learning
Fangyun Wei · Yue Gao · Zhirong Wu · Han Hu · Stephen Lin
Spotlight
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
Yaqing Wang · Abulikemu Abuduweili · Quanming Yao · Dejing Dou
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DOCTOR: A Simple Method for Detecting Misclassification Errors
Federica Granese · Marco Romanelli · Daniele Gorla · Catuscia Palamidessi · Pablo Piantanida
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Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning
Christoph Dann · Teodor Vanislavov Marinov · Mehryar Mohri · Julian Zimmert
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Learning to delegate for large-scale vehicle routing
Sirui Li · Zhongxia Yan · Cathy Wu
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Online Selective Classification with Limited Feedback
Aditya Gangrade · Anil Kag · Ashok Cutkosky · Venkatesh Saligrama
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Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update
Michal Derezinski · Jonathan Lacotte · Mert Pilanci · Michael Mahoney
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Tensor Normal Training for Deep Learning Models
Yi Ren · Donald Goldfarb
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Coresets for Clustering with Missing Values
Vladimir Braverman · Shaofeng Jiang · Robert Krauthgamer · Xuan Wu
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Offline Reinforcement Learning as One Big Sequence Modeling Problem
Michael Janner · Qiyang Li · Sergey Levine
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Lossy Compression for Lossless Prediction
Yann Dubois · Benjamin Bloem-Reddy · Karen Ullrich · Chris Maddison
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Refining Language Models with Compositional Explanations
Huihan Yao · Ying Chen · Qinyuan Ye · Xisen Jin · Xiang Ren
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SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression
Steve Yadlowsky · Taedong Yun · Cory Y McLean · Alexander D'Amour
Spotlight
Probabilistic Attention for Interactive Segmentation
Prasad Gabbur · Manjot Bilkhu · Javier Movellan
Spotlight
The Semi-Random Satisfaction of Voting Axioms
Lirong Xia
Spotlight
Image Generation using Continuous Filter Atoms
Ze Wang · Seunghyun Hwang · Zichen Miao · Qiang Qiu
Spotlight
Fair Exploration via Axiomatic Bargaining
Jackie Baek · Vivek Farias
Spotlight
RIM: Reliable Influence-based Active Learning on Graphs
Wentao Zhang · Yexin Wang · Zhenbang You · Meng Cao · Ping Huang · Jiulong Shan · Zhi Yang · Bin CUI
Spotlight
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
Pan Zhou · Caiming Xiong · Xiaotong Yuan · Steven Chu Hong Hoi
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Information Directed Sampling for Sparse Linear Bandits
Botao Hao · Tor Lattimore · Wei Deng
Spotlight
A Geometric Analysis of Neural Collapse with Unconstrained Features
Zhihui Zhu · Tianyu Ding · Jinxin Zhou · Xiao Li · Chong You · Jeremias Sulam · Qing Qu
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Learning Generalized Gumbel-max Causal Mechanisms
Guy Lorberbom · Daniel D. Johnson · Chris Maddison · Daniel Tarlow · Tamir Hazan
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Beyond Tikhonov: faster learning with self-concordant losses, via iterative regularization
Gaspard Beugnot · Julien Mairal · Alessandro Rudi
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Deep learning is adaptive to intrinsic dimensionality of model smoothness in anisotropic Besov space
Taiji Suzuki · Atsushi Nitanda
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Bias and variance of the Bayesian-mean decoder
Arthur Prat-Carrabin · Michael Woodford
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Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
Junnan Li · Ramprasaath Selvaraju · Akhilesh Gotmare · Shafiq Joty · Caiming Xiong · Steven Chu Hong Hoi
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Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables
Jakob Runge
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Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering
Vincent Sitzmann · Semon Rezchikov · Bill Freeman · Josh Tenenbaum · Fredo Durand
Spotlight
Calibration and Consistency of Adversarial Surrogate Losses
Pranjal Awasthi · Natalie Frank · Anqi Mao · Mehryar Mohri · Yutao Zhong
Spotlight
Representation Learning for Event-based Visuomotor Policies
Sai Vemprala · Sami Mian · Ashish Kapoor
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Robust Predictable Control
Ben Eysenbach · Russ Salakhutdinov · Sergey Levine
Spotlight
Neural Algorithmic Reasoners are Implicit Planners
Andreea-Ioana Deac · Petar Veličković · Ognjen Milinkovic · Pierre-Luc Bacon · Jian Tang · Mladen Nikolic
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Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
Hanzhe Hu · Fangyun Wei · Han Hu · Qiwei Ye · Jinshi Cui · Liwei Wang
Spotlight
A Variational Perspective on Diffusion-Based Generative Models and Score Matching
Chin-Wei Huang · Jae Hyun Lim · Aaron Courville
Spotlight
Adversarial Teacher-Student Representation Learning for Domain Generalization
Fu-En Yang · Yuan-Chia Cheng · Zu-Yun Shiau · Yu-Chiang Frank Wang
Spotlight
Techniques for Symbol Grounding with SATNet
Sever Topan · David Rolnick · Xujie Si
Spotlight
Spherical Motion Dynamics: Learning Dynamics of Normalized Neural Network using SGD and Weight Decay
Ruosi Wan · Zhanxing Zhu · Xiangyu Zhang · Jian Sun
Spotlight
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition
Junjiao Tian · Dylan Yung · Yen-Chang Hsu · Zsolt Kira
Spotlight
Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks
Hassan Dbouk · Naresh Shanbhag
Spotlight
Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications
Leonard Berrada · Sumanth Dathathri · Krishnamurthy Dvijotham · Robert Stanforth · Rudy Bunel · Jonathan Uesato · Sven Gowal · M. Pawan Kumar
Spotlight
Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience
Dominic Gonschorek · Larissa Höfling · Klaudia P. Szatko · Katrin Franke · Timm Schubert · Benjamin Dunn · Philipp Berens · David Klindt · Thomas Euler
Spotlight
Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering
Youngjoong Kwon · Dahun Kim · Duygu Ceylan · Henry Fuchs
Spotlight
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
Geng Yuan · Xiaolong Ma · Wei Niu · Zhengang Li · Zhenglun Kong · Ning Liu · Yifan Gong · Zheng Zhan · Chaoyang He · Qing Jin · Siyue Wang · Minghai Qin · Bin Ren · Yanzhi Wang · Sijia Liu · Xue Lin
Spotlight
Bootstrapping the Error of Oja's Algorithm
Robert Lunde · Purnamrita Sarkar · Rachel Ward
Spotlight
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
Haoang Chi · Feng Liu · Wenjing Yang · Long Lan · Tongliang Liu · Bo Han · William Cheung · James Kwok
Spotlight
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer
Junya Chen · Zidi Xiu · Benjamin Goldstein · Ricardo Henao · Lawrence Carin · Chenyang Tao
Spotlight
Logarithmic Regret in Feature-based Dynamic Pricing
Jianyu Xu · Yu-Xiang Wang
Spotlight
Flexible Option Learning
Martin Klissarov · Doina Precup
Spotlight
A Central Limit Theorem for Differentially Private Query Answering
Jinshuo Dong · Weijie Su · Linjun Zhang
Spotlight
Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems
Suhas Kowshik · Dheeraj Nagaraj · Prateek Jain · Praneeth Netrapalli
Spotlight
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms
Alexander Camuto · George Deligiannidis · Murat Erdogdu · Mert Gurbuzbalaban · Umut Simsekli · Lingjiong Zhu
Spotlight
Random Shuffling Beats SGD Only After Many Epochs on Ill-Conditioned Problems
Itay Safran · Ohad Shamir
Spotlight
Instance-Conditioned GAN
Arantxa Casanova · Marlene Careil · Jakob Verbeek · Michal Drozdzal · Adriana Romero Soriano
Spotlight
List-Decodable Mean Estimation in Nearly-PCA Time
Ilias Diakonikolas · Daniel Kane · Daniel Kongsgaard · Jerry Li · Kevin Tian
Spotlight
A Minimalist Approach to Offline Reinforcement Learning
Scott Fujimoto · Shixiang (Shane) Gu
Spotlight
Your head is there to move you around: Goal-driven models of the primate dorsal pathway
Patrick Mineault · Shahab Bakhtiari · Blake Richards · Christopher Pack
Spotlight
Slice Sampling Reparameterization Gradients
David Zoltowski · Diana Cai · Ryan Adams
Spotlight
Improved Learning Rates of a Functional Lasso-type SVM with Sparse Multi-Kernel Representation
shaogao lv · Junhui Wang · Jiankun Liu · Yong Liu
Spotlight
Neural optimal feedback control with local learning rules
Johannes Friedrich · Siavash Golkar · Shiva Farashahi · Alexander Genkin · Anirvan Sengupta · Dmitri Chklovskii
Spotlight
Multimodal and Multilingual Embeddings for Large-Scale Speech Mining
Paul-Ambroise Duquenne · Hongyu Gong · Holger Schwenk
Spotlight
Look at What I’m Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos
Reuben Tan · Bryan Plummer · Kate Saenko · Hailin Jin · Bryan Russell
Spotlight
Instance-Dependent Partial Label Learning
Ning Xu · Congyu Qiao · Xin Geng · Min-Ling Zhang
Spotlight
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
Valentin De Bortoli · James Thornton · Jeremy Heng · Arnaud Doucet
Spotlight
A single gradient step finds adversarial examples on random two-layers neural networks
Sebastien Bubeck · Yeshwanth Cherapanamjeri · Gauthier Gidel · Remi Tachet des Combes
Spotlight
Two steps to risk sensitivity
Christopher Gagne · Peter Dayan
Spotlight
Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution
Liangbin Xie · Xintao Wang · Chao Dong · Zhongang Qi · Ying Shan
Spotlight
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State
Mingqing Xiao · Qingyan Meng · Zongpeng Zhang · Yisen Wang · Zhouchen Lin
Spotlight
Provably Faster Algorithms for Bilevel Optimization
Junjie Yang · Kaiyi Ji · Yingbin Liang
Spotlight
Subgame solving without common knowledge
Brian Zhang · Tuomas Sandholm
Spotlight
On Linear Stability of SGD and Input-Smoothness of Neural Networks
Chao Ma · Lexing Ying
Spotlight
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima
Guangyuan SHI · JIAXIN CHEN · Wenlong Zhang · Li-Ming Zhan · Xiao-Ming Wu
Spotlight
Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality
Stefanos Leonardos · Georgios Piliouras · Kelly Spendlove
Spotlight
Safe Reinforcement Learning with Natural Language Constraints
Tsung-Yen Yang · Michael Y Hu · Yinlam Chow · Peter J Ramadge · Karthik Narasimhan
Spotlight
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond
Risheng Liu · Yaohua Liu · Shangzhi Zeng · Jin Zhang
Spotlight
Generic Neural Architecture Search via Regression
Yuhong Li · Cong Hao · Pan Li · Jinjun Xiong · Deming Chen
Spotlight
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
Jason Altschuler · Sinho Chewi · Patrik R Gerber · Austin Stromme
Spotlight
A sampling-based circuit for optimal decision making
Camille Rullán Buxó · Cristina Savin
Spotlight
A Provably Efficient Sample Collection Strategy for Reinforcement Learning
Jean Tarbouriech · Matteo Pirotta · Michal Valko · Alessandro Lazaric
Spotlight
Rethinking gradient sparsification as total error minimization
Atal Sahu · Aritra Dutta · Ahmed M. Abdelmoniem · Trambak Banerjee · Marco Canini · Panos Kalnis
Spotlight
Probabilistic Tensor Decomposition of Neural Population Spiking Activity
Hugo Soulat · Sepiedeh Keshavarzi · Troy Margrie · Maneesh Sahani
Spotlight
Long Short-Term Transformer for Online Action Detection
Mingze Xu · Yuanjun Xiong · Hao Chen · Xinyu Li · Wei Xia · Zhuowen Tu · Stefano Soatto
Spotlight
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal · Alexander Nichol
Spotlight
Bayesian decision-making under misspecified priors with applications to meta-learning
Max Simchowitz · Christopher Tosh · Akshay Krishnamurthy · Daniel Hsu · Thodoris Lykouris · Miro Dudik · Robert Schapire
Spotlight
Conformal Prediction using Conditional Histograms
Matteo Sesia · Yaniv Romano
Spotlight
Bayesian Bellman Operators
Mattie Fellows · Kristian Hartikainen · Shimon Whiteson
Spotlight
Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization
Yusuke Iwasawa · Yutaka Matsuo
Spotlight
Learning Gaussian Mixtures with Generalized Linear Models: Precise Asymptotics in High-dimensions
Bruno Loureiro · Gabriele Sicuro · Cedric Gerbelot · Alessandro Pacco · Florent Krzakala · Lenka Zdeborová
Spotlight
Aligned Structured Sparsity Learning for Efficient Image Super-Resolution
Yulun Zhang · Huan Wang · Can Qin · Yun Fu
Spotlight
Towards a Unified Information-Theoretic Framework for Generalization
Mahdi Haghifam · Gintare Karolina Dziugaite · Shay Moran · Dan Roy
Spotlight
Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks
Aran Nayebi · Alexander Attinger · Malcolm Campbell · Kiah Hardcastle · Isabel Low · Caitlin S Mallory · Gabriel Mel · Ben Sorscher · Alex H Williams · Surya Ganguli · Lisa Giocomo · Dan Yamins
Spotlight
Decentralized Learning in Online Queuing Systems
Flore Sentenac · Etienne Boursier · Vianney Perchet
Spotlight
A Unified Approach to Fair Online Learning via Blackwell Approachability
Evgenii Chzhen · Christophe Giraud · Gilles Stoltz
Spotlight
Learning Equilibria in Matching Markets from Bandit Feedback
Meena Jagadeesan · Alexander Wei · Yixin Wang · Michael Jordan · Jacob Steinhardt
Spotlight
Breaking the Dilemma of Medical Image-to-image Translation
Lingke Kong · Chenyu Lian · Detian Huang · zhenjiang li · Yanle Hu · Qichao Zhou
Spotlight
Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark
Stefan O'Toole · Nir Lipovetzky · Miquel Ramirez · Adrian Pearce
Spotlight
Mixture Proportion Estimation and PU Learning:A Modern Approach
Saurabh Garg · Yifan Wu · Alexander Smola · Sivaraman Balakrishnan · Zachary Lipton
Spotlight
Behavior From the Void: Unsupervised Active Pre-Training
Hao Liu · Pieter Abbeel
Spotlight
How Well do Feature Visualizations Support Causal Understanding of CNN Activations?
Roland S. Zimmermann · Judy Borowski · Robert Geirhos · Matthias Bethge · Thomas Wallis · Wieland Brendel
Spotlight
GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles
Octavian Ganea · Lagnajit Pattanaik · Connor Coley · Regina Barzilay · Klavs Jensen · William Green · Tommi Jaakkola
Spotlight
Parametric Complexity Bounds for Approximating PDEs with Neural Networks
Tanya Marwah · Zachary Lipton · Andrej Risteski
Spotlight
Per-Pixel Classification is Not All You Need for Semantic Segmentation
Bowen Cheng · Alex Schwing · Alexander Kirillov
Spotlight
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning
Gen Li · Laixi Shi · Yuxin Chen · Yuantao Gu · Yuejie Chi
Spotlight
Towards optimally abstaining from prediction with OOD test examples
Adam Kalai · Varun Kanade
Spotlight
Refined Learning Bounds for Kernel and Approximate $k$-Means
Yong Liu
Spotlight
Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems
Subhabrata Dutta · Tanya Gautam · Soumen Chakrabarti · Tanmoy Chakraborty
Spotlight
Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning
Colin Wei · Sang Michael Xie · Tengyu Ma
Spotlight
ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction
Gengshan Yang · Deqing Sun · Varun Jampani · Daniel Vlasic · Forrester Cole · Ce Liu · Deva Ramanan
Spotlight
Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems
Zixiu Wang · Yiwen Guo · Hu Ding
Spotlight
PLUGIn: A simple algorithm for inverting generative models with recovery guarantees
Babhru Joshi · Xiaowei Li · Yaniv Plan · Ozgur Yilmaz
Spotlight
Revisiting ResNets: Improved Training and Scaling Strategies
Irwan Bello · William Fedus · Xianzhi Du · Ekin Dogus Cubuk · Aravind Srinivas · Tsung-Yi Lin · Jonathon Shlens · Barret Zoph
Spotlight
Variational Bayesian Optimistic Sampling
Brendan O'Donoghue · Tor Lattimore
Spotlight
Sequence-to-Sequence Learning with Latent Neural Grammars
Yoon Kim
Spotlight
Bootstrap Your Object Detector via Mixed Training
Mengde Xu · Zheng Zhang · Fangyun Wei · Yutong Lin · Yue Cao · Stephen Lin · Han Hu · Xiang Bai
Spotlight
Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate
Christian Kümmerle · Claudio Mayrink Verdun · Dominik Stöger
Spotlight
Differentially Private Model Personalization
Prateek Jain · John Rush · Adam Smith · Shuang Song · Abhradeep Guha Thakurta
Spotlight
Optimal Policies Tend To Seek Power
Alex Turner · Logan Smith · Rohin Shah · Andrew Critch · Prasad Tadepalli
Spotlight
Forster Decomposition and Learning Halfspaces with Noise
Ilias Diakonikolas · Daniel Kane · Christos Tzamos
Spotlight
IQ-Learn: Inverse soft-Q Learning for Imitation
Divyansh Garg · Shuvam Chakraborty · Chris Cundy · Jiaming Song · Stefano Ermon
Spotlight
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering
Debolina Paul · Saptarshi Chakraborty · Swagatam Das · Jason Xu
Spotlight
Statistical Query Lower Bounds for List-Decodable Linear Regression
Ilias Diakonikolas · Daniel Kane · Ankit Pensia · Thanasis Pittas · Alistair Stewart
Spotlight
On the Value of Infinite Gradients in Variational Autoencoder Models
Bin Dai · Li Wenliang · David Wipf
Spotlight
Focal Attention for Long-Range Interactions in Vision Transformers
Jianwei Yang · Chunyuan Li · Pengchuan Zhang · Xiyang Dai · Bin Xiao · Lu Yuan · Jianfeng Gao
Spotlight
Proper Value Equivalence
Christopher Grimm · Andre Barreto · Greg Farquhar · David Silver · Satinder Singh
Spotlight
Sliced Mutual Information: A Scalable Measure of Statistical Dependence
Ziv Goldfeld · Kristjan Greenewald
Spotlight
Neural Program Generation Modulo Static Analysis
Rohan Mukherjee · Yeming Wen · Dipak Chaudhari · Thomas Reps · Swarat Chaudhuri · Christopher Jermaine
Spotlight
Subgraph Federated Learning with Missing Neighbor Generation
Ke ZHANG · Carl Yang · Xiaoxiao Li · Lichao Sun · Siu Ming Yiu
Spotlight
Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond
Maria-Florina Balcan · Siddharth Prasad · Tuomas Sandholm · Ellen Vitercik
Spotlight
Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent
Rishav Chourasia · Jiayuan Ye · Reza Shokri
Spotlight
Ultrahyperbolic Neural Networks
Marc Law
Spotlight
A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval
Xiu-Shen Wei · Yang Shen · Xuhao Sun · Han-Jia Ye · Jian Yang
Spotlight
Measuring Generalization with Optimal Transport
Ching-Yao Chuang · Youssef Mroueh · Kristjan Greenewald · Antonio Torralba · Stefanie Jegelka
Spotlight
Deep Self-Dissimilarities as Powerful Visual Fingerprints
Idan Kligvasser · Tamar Shaham · Yuval Bahat · Tomer Michaeli
Tutorial
Mon Dec 06 01:00 AM -- 04:50 AM (PST) @ Virtual
Real-Time Optimization for Fast and Complex Control Systems
Toshiyuki Ohtsuka
[ Slides
Tutorial
Mon Dec 06 01:00 AM -- 04:30 AM (PST)
Pay Attention to What You Need: Do Structural Priors Still Matter in the Age of Billion Parameter Models?
Irina Higgins · Antonia Creswell · Seb Racanière
Tutorial
Mon Dec 06 05:00 AM -- 08:00 AM (PST) @ Virtual
A Journey Through the Opportunity of Low Resourced Natural Language Processing — An African Lens
Vukosi Marivate · David Adelani
[ Slides
Tutorial
Mon Dec 06 05:00 AM -- 09:00 AM (PST)
Machine Learning With Quantum Computers
Maria Schuld · Juan Carrasquilla
Tutorial
Mon Dec 06 09:00 AM -- 01:00 PM (PST) @ Virtual
ML for Physics and Physics for ML
Shirley Ho · Miles Cranmer
[ Slides
Tutorial
Mon Dec 06 09:00 AM -- 01:00 PM (PST) @ Virtual
The Art of Gaussian Processes: Classical and Contemporary
César Lincoln Mattos · Felipe Tobar
[ Slides
Tutorial
Mon Dec 06 01:00 PM -- 05:00 PM (PST) @ Virtual
Machine Learning and Statistics for Climate Science
Karen A McKinnon · Andrew N Poppick
[ Slides
Tutorial
Mon Dec 06 01:00 PM -- 05:00 PM (PST)
Beyond Fairness in Machine Learning
Timnit Gebru · Emily Denton
Tutorial
Mon Dec 06 05:00 PM -- 07:21 PM (PST) @ Virtual
Self-Supervised Learning: Self-Prediction and Contrastive Learning
Lilian Weng · Jong Wook Kim
[ Slides
Tutorial
Mon Dec 06 05:00 PM -- 09:00 PM (PST) @ Virtual
Message Passing In Machine Learning
Wee Sun Lee
[ Slides
Affinity Poster Session
Mon Dec 06 09:00 PM -- 11:00 PM (PST)
Joint Affinity Poster Session
Panel
Mon Dec 06 11:00 PM -- 12:00 AM (PST)
The Consequences of Massive Scaling in Machine Learning
Noah Goodman · Melanie Mitchell · Joelle Pineau · Oriol Vinyals · Jared D Kaplan
Datasets and Benchmarks
Tue Dec 07 12:00 AM -- 02:00 AM (PST)
Dataset and Benchmark Track 1
Joaquin Vanschoren · Serena Yeung
Oral
Tue Dec 07 12:00 AM -- 12:15 AM (PST)
E(n) Equivariant Normalizing Flows
Victor Garcia Satorras · Emiel Hoogeboom · Fabian Fuchs · Ingmar Posner · Max Welling
Oral
Tue Dec 07 12:00 AM -- 12:15 AM (PST)
Framing RNN as a kernel method: A neural ODE approach
Adeline Fermanian · Pierre Marion · Jean-Philippe Vert · Gérard Biau
Oral
Tue Dec 07 12:00 AM -- 12:15 AM (PST)
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics
Carles Domingo i Enrich · Youssef Mroueh
Oral
Tue Dec 07 12:00 AM -- 12:15 AM (PST)
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers
Krishna Pillutla · Swabha Swayamdipta · Rowan Zellers · John Thickstun · Sean Welleck · Yejin Choi · Zaid Harchaoui
Q&A
Tue Dec 07 12:15 AM -- 12:20 AM (PST)
Q&A
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Tue Dec 07 12:15 AM -- 12:20 AM (PST)
Q&A
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Tue Dec 07 12:15 AM -- 12:20 AM (PST)
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Tue Dec 07 12:15 AM -- 12:20 AM (PST)
Q&A
Oral
Tue Dec 07 12:20 AM -- 12:35 AM (PST)
Online Variational Filtering and Parameter Learning
Andrew Campbell · Yuyang Shi · Thomas Rainforth · Arnaud Doucet
Oral
Tue Dec 07 12:20 AM -- 12:35 AM (PST)
Near-Optimal No-Regret Learning in General Games
Constantinos Daskalakis · Maxwell Fishelson · Noah Golowich
Oral
Tue Dec 07 12:20 AM -- 12:35 AM (PST)
Learning to Draw: Emergent Communication through Sketching
Daniela Mihai · Jonathon Hare
Oral
Tue Dec 07 12:20 AM -- 12:35 AM (PST)
A Universal Law of Robustness via Isoperimetry
Sebastien Bubeck · Mark Sellke
Q&A
Tue Dec 07 12:35 AM -- 12:40 AM (PST)
Q&A
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Tue Dec 07 12:35 AM -- 12:40 AM (PST)
Q&A
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Tue Dec 07 12:35 AM -- 12:40 AM (PST)
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Tue Dec 07 12:35 AM -- 12:40 AM (PST)
Q&A
Oral
Tue Dec 07 12:40 AM -- 12:55 AM (PST)
Alias-Free Generative Adversarial Networks
Tero Karras · Miika Aittala · Samuli Laine · Erik Härkönen · Janne Hellsten · Jaakko Lehtinen · Timo Aila
Oral
Tue Dec 07 12:40 AM -- 12:55 AM (PST)
Causal Identification with Matrix Equations
Sanghack Lee · Elias Bareinboim
Oral
Tue Dec 07 12:40 AM -- 12:55 AM (PST)
Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions
Yin Tat Lee · Ruoqi Shen · Kevin Tian
Oral
Tue Dec 07 12:40 AM -- 12:55 AM (PST)
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons
Paul Haider · Benjamin Ellenberger · Laura Kriener · Jakob Jordan · Walter Senn · Mihai A. Petrovici
Q&A
Tue Dec 07 12:55 AM -- 01:00 AM (PST)
Q&A
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Tue Dec 07 12:55 AM -- 01:00 AM (PST)
Q&A
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Tue Dec 07 12:55 AM -- 01:00 AM (PST)
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Tue Dec 07 12:55 AM -- 01:00 AM (PST)
Q&A
Oral
Tue Dec 07 01:00 AM -- 01:15 AM (PST)
An Exponential Lower Bound for Linearly Realizable MDP with Constant Suboptimality Gap
Yuanhao Wang · Ruosong Wang · Sham Kakade
Oral
Tue Dec 07 01:00 AM -- 01:15 AM (PST)
EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback
Peter Richtarik · Igor Sokolov · Ilyas Fatkhullin
Oral
Tue Dec 07 01:00 AM -- 01:15 AM (PST)
Attention over Learned Object Embeddings Enables Complex Visual Reasoning
David Ding · Felix Hill · Adam Santoro · Malcolm Reynolds · Matt Botvinick
Oral
Tue Dec 07 01:00 AM -- 01:15 AM (PST)
Data driven semi-supervised learning
Maria-Florina Balcan · Dravyansh Sharma
Q&A
Tue Dec 07 01:15 AM -- 01:20 AM (PST)
Q&A
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Tue Dec 07 01:15 AM -- 01:20 AM (PST)
Q&A
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Tue Dec 07 01:15 AM -- 01:20 AM (PST)
Q&A
Q&A
Tue Dec 07 01:15 AM -- 01:20 AM (PST)
Q&A
Oral
Tue Dec 07 01:20 AM -- 01:35 AM (PST)
Stability and Deviation Optimal Risk Bounds with Convergence Rate $O(1/n)$
Yegor Klochkov · Nikita Zhivotovskiy
Oral
Tue Dec 07 01:20 AM -- 01:35 AM (PST)
Differentiable Quality Diversity
Matthew Fontaine · Stefanos Nikolaidis
Oral
Tue Dec 07 01:20 AM -- 01:35 AM (PST)
Learning Frequency Domain Approximation for Binary Neural Networks
Yixing Xu · Kai Han · Chang Xu · Yehui Tang · Chunjing XU · Yunhe Wang
Oral
Tue Dec 07 01:20 AM -- 01:35 AM (PST)
On the Expressivity of Markov Reward
David Abel · Will Dabney · Anna Harutyunyan · Mark Ho · Michael Littman · Doina Precup · Satinder Singh
Q&A
Tue Dec 07 01:35 AM -- 01:40 AM (PST)
Q&A
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Tue Dec 07 01:35 AM -- 01:40 AM (PST)
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Tue Dec 07 01:35 AM -- 01:40 AM (PST)
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Tue Dec 07 01:35 AM -- 01:40 AM (PST)
Q&A
Oral
Tue Dec 07 01:40 AM -- 01:55 AM (PST)
Learning Debiased Representation via Disentangled Feature Augmentation
Jungsoo Lee · Eungyeup Kim · Juyoung Lee · Jihyeon Lee · Jaegul Choo
Oral
Tue Dec 07 01:40 AM -- 01:55 AM (PST)
The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition
Tiancheng Jin · Longbo Huang · Haipeng Luo
Oral
Tue Dec 07 01:40 AM -- 01:55 AM (PST)
Hessian Eigenspectra of More Realistic Nonlinear Models
Zhenyu Liao · Michael Mahoney
Oral
Tue Dec 07 01:40 AM -- 01:55 AM (PST)
The Complexity of Bayesian Network Learning: Revisiting the Superstructure
Robert Ganian · Viktoriia Korchemna
Q&A
Tue Dec 07 01:55 AM -- 02:00 AM (PST)
Q&A
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Tue Dec 07 01:55 AM -- 02:00 AM (PST)
Q&A
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Tue Dec 07 01:55 AM -- 02:00 AM (PST)
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Q&A
Tue Dec 07 01:55 AM -- 02:00 AM (PST)
Q&A
Affinity Workshop
Tue Dec 07 05:00 AM -- 07:00 AM (PST)
Queer in AI Workshop 1
Claas Voelcker · Arjun Subramonian · Vishakha Agrawal · Luca Soldaini · Pan Xu · Pranav A · William Agnew · Umut Pajaro Velasquez · Yanan Long · Sharvani Jha · Ashwin S · Mary Anne Smart · Patrick Feeney · Ruchira Ray
Affinity Workshop
Tue Dec 07 06:02 AM -- 06:50 AM (PST)
New in ML 1
Haozhe Sun · Wenzhuo Liu · Joe Pedersen
Invited Talk
Tue Dec 07 07:00 AM -- 08:30 AM (PST)
How Duolingo Uses AI to Assess, Engage and Teach Better
Luis von Ahn
Datasets and Benchmarks
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dataset and Benchmark Poster Session 1
Joaquin Vanschoren · Serena Yeung
Demonstration
Tue Dec 07 08:30 AM -- 09:35 AM (PST)
Demonstrations 1
Douwe Kiela · Barbara Caputo · Marco Ciccone
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Counterfactual Explanations in Sequential Decision Making Under Uncertainty
Stratis Tsirtsis · Abir De · Manuel Rodriguez
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
On UMAP's True Loss Function
Sebastian Damrich · Fred Hamprecht
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Statistical Undecidability in Linear, Non-Gaussian Causal Models in the Presence of Latent Confounders
Konstantin Genin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Non-Gaussian Gaussian Processes for Few-Shot Regression
Marcin Sendera · Jacek Tabor · Aleksandra Nowak · Andrzej Bedychaj · Massimiliano Patacchiola · Tomasz Trzcinski · Przemysław Spurek · Maciej Zieba
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation
Tai-Yu Pan · Cheng Zhang · Yandong Li · Hexiang Hu · Dong Xuan · Soravit Changpinyo · Boqing Gong · Wei-Lun Chao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Safe Pontryagin Differentiable Programming
Wanxin Jin · Shaoshuai Mou · George J. Pappas
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Circuit Synthesis from Specification Patterns
Frederik Schmitt · Christopher Hahn · Markus N Rabe · Bernd Finkbeiner
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions
Michael Poli · Stefano Massaroli · Luca Scimeca · Sanghyuk Chun · Seong Joon Oh · Atsushi Yamashita · Hajime Asama · Jinkyoo Park · Animesh Garg
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Perceptual Score: What Data Modalities Does Your Model Perceive?
Itai Gat · Idan Schwartz · Alex Schwing
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles
Octavian Ganea · Lagnajit Pattanaik · Connor Coley · Regina Barzilay · Klavs Jensen · William Green · Tommi Jaakkola
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence
Antoine Labatie · Dominic Masters · Zach Eaton-Rosen · Carlo Luschi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Directed Spectrum Measures Improve Latent Network Models Of Neural Populations
Neil Gallagher · Kafui Dzirasa · David Carlson
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Dynamic Bottleneck for Robust Self-Supervised Exploration
Chenjia Bai · Lingxiao Wang · Lei Han · Animesh Garg · Jianye Hao · Peng Liu · Zhaoran Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Center Smoothing: Certified Robustness for Networks with Structured Outputs
Aounon Kumar · Tom Goldstein
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Supervising the Transfer of Reasoning Patterns in VQA
Corentin Kervadec · Christian Wolf · Grigory Antipov · Moez Baccouche · Madiha Nadri
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric Transformations
Shasha Li · Abhishek Aich · Shitong Zhu · Salman Asif · Chengyu Song · Amit Roy-Chowdhury · Srikanth Krishnamurthy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction
Jing Zhang · Jianwen Xie · Nick Barnes · Ping Li
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fast Algorithms for $L_\infty$-constrained S-rectangular Robust MDPs
Bahram Behzadian · Marek Petrik · Chin Pang Ho
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Program Generation Modulo Static Analysis
Rohan Mukherjee · Yeming Wen · Dipak Chaudhari · Thomas Reps · Swarat Chaudhuri · Christopher Jermaine
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Searching the Search Space of Vision Transformer
Minghao Chen · Kan Wu · Bolin Ni · Houwen Peng · Bei Liu · Jianlong Fu · Hongyang Chao · Haibin Ling
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning the optimal Tikhonov regularizer for inverse problems
Giovanni Alberti · Ernesto De Vito · Matti Lassas · Luca Ratti · Matteo Santacesaria
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Memory Efficient Meta-Learning with Large Images
John Bronskill · Daniela Massiceti · Massimiliano Patacchiola · Katja Hofmann · Sebastian Nowozin · Richard Turner
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Implicit Semantic Response Alignment for Partial Domain Adaptation
Wenxiao Xiao · Zhengming Ding · Hongfu Liu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Mirror Langevin Monte Carlo: the Case Under Isoperimetry
Qijia Jiang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition
Cheng-I Jeff Lai · Yang Zhang · Alexander Liu · Shiyu Chang · Yi-Lun Liao · Yung-Sung Chuang · Kaizhi Qian · Sameer Khurana · David Cox · Jim Glass
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
A novel notion of barycenter for probability distributions based on optimal weak mass transport
Elsa Cazelles · Felipe Tobar · Joaquin Fontbona
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Towards mental time travel: a hierarchical memory for reinforcement learning agents
Andrew Lampinen · Stephanie Chan · Andrea Banino · Felix Hill
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fair Exploration via Axiomatic Bargaining
Jackie Baek · Vivek Farias
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reinforcement Learning in Reward-Mixing MDPs
Jeongyeol Kwon · Yonathan Efroni · Constantine Caramanis · Shie Mannor
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Morié Attack (MA): A New Potential Risk of Screen Photos
Dantong Niu · Ruohao Guo · Yisen Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Relational Self-Attention: What's Missing in Attention for Video Understanding
Manjin Kim · Heeseung Kwon · CHUNYU WANG · Suha Kwak · Minsu Cho
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Challenges and Opportunities in High Dimensional Variational Inference
Akash Kumar Dhaka · Alejandro Catalina · Manushi Welandawe · Michael Andersen · Jonathan Huggins · Aki Vehtari
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bias and variance of the Bayesian-mean decoder
Arthur Prat-Carrabin · Michael Woodford
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Beyond Tikhonov: faster learning with self-concordant losses, via iterative regularization
Gaspard Beugnot · Julien Mairal · Alessandro Rudi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks
Alireza Fallah · Aryan Mokhtari · Asuman Ozdaglar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Matrix factorisation and the interpretation of geodesic distance
Nick Whiteley · Annie Gray · Patrick Rubin-Delanchy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator
Alek Dimitriev · Mingyuan Zhou
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Algorithmic Stability of Adversarial Training
Yue Xing · Qifan Song · Guang Cheng
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints
Xin Liu · Bin Li · Pengyi Shi · Lei Ying
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Misspecified Gaussian Process Bandit Optimization
Ilija Bogunovic · Andreas Krause
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound
Valentina Zantedeschi · Paul Viallard · Emilie Morvant · Rémi Emonet · Amaury Habrard · Pascal Germain · Benjamin Guedj
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models
Lenart Treven · Philippe Wenk · Florian Dorfler · Andreas Krause
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Pooling by Sliced-Wasserstein Embedding
Navid Naderializadeh · Joseph F Comer · Reed Andrews · Heiko Hoffmann · Soheil Kolouri
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes
Cristopher Salvi · Maud Lemercier · Chong Liu · Blanka Horvath · Theodoros Damoulas · Terry Lyons
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Identifiable Generative models for Missing Not at Random Data Imputation
Chao Ma · Cheng Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
PatchGame: Learning to Signal Mid-level Patches in Referential Games
Kamal Gupta · Gowthami Somepalli · Anubhav Anubhav · Vinoj Yasanga Jayasundara Magalle Hewa · Matthias Zwicker · Abhinav Shrivastava
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Panoptic 3D Scene Reconstruction From a Single RGB Image
Manuel Dahnert · Ji Hou · Matthias Niessner · Angela Dai
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adaptive Risk Minimization: Learning to Adapt to Domain Shift
Marvin Zhang · Henrik Marklund · Nikita Dhawan · Abhishek Gupta · Sergey Levine · Chelsea Finn
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Instance-dependent Label-noise Learning under a Structural Causal Model
Yu Yao · Tongliang Liu · Mingming Gong · Bo Han · Gang Niu · Kun Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification
Clémence Réda · Andrea Tirinzoni · Rémy Degenne
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System
Matthias Schultheis · Dominik Straub · Constantin Rothkopf
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
3DP3: 3D Scene Perception via Probabilistic Programming
Nishad Gothoskar · Marco Cusumano-Towner · Ben Zinberg · Matin Ghavamizadeh · Falk Pollok · Austin Garrett · Josh Tenenbaum · Dan Gutfreund · Vikash Mansinghka
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives
Qi Qi · Zhishuai Guo · Yi Xu · Rong Jin · Tianbao Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Revisiting ResNets: Improved Training and Scaling Strategies
Irwan Bello · William Fedus · Xianzhi Du · Ekin Dogus Cubuk · Aravind Srinivas · Tsung-Yi Lin · Jonathon Shlens · Barret Zoph
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Automated Discovery of Adaptive Attacks on Adversarial Defenses
Chengyuan Yao · Pavol Bielik · Petar Tsankov · Martin Vechev
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Submodular + Concave
Siddharth Mitra · Moran Feldman · Amin Karbasi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
On Provable Benefits of Depth in Training Graph Convolutional Networks
Weilin Cong · Morteza Ramezani · Mehrdad Mahdavi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement
Samuel Daulton · Maximilian Balandat · Eytan Bakshy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence
Qi Qi · Youzhi Luo · Zhao Xu · Shuiwang Ji · Tianbao Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Structural Credit Assignment in Neural Networks using Reinforcement Learning
Dhawal Gupta · Gabor Mihucz · Matthew Schlegel · James Kostas · Philip Thomas · Martha White
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Tractable Regularization of Probabilistic Circuits
Anji Liu · Guy Van den Broeck
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The Semi-Random Satisfaction of Voting Axioms
Lirong Xia
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning
Kai Wang · Sanket Shah · Haipeng Chen · Andrew Perrault · Finale Doshi-Velez · Milind Tambe
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Targeted Neural Dynamical Modeling
Cole Hurwitz · Akash Srivastava · Kai Xu · Justin Jude · Matthew Perich · Lee Miller · Matthias Hennig
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
Ho Kei Cheng · Yu-Wing Tai · Chi-Keung Tang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Robustness with Non-uniform Perturbations
Ecenaz Erdemir · Jeffrey Bickford · Luca Melis · Sergul Aydore
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Row-clustering of a Point Process-valued Matrix
Lihao Yin · Ganggang Xu · Huiyan Sang · Yongtao Guan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Interpolation can hurt robust generalization even when there is no noise
Konstantin Donhauser · Alexandru Tifrea · Michael Aerni · Reinhard Heckel · Fanny Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
How Does it Sound?
Kun Su · Xiulong Liu · Eli Shlizerman
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Random Noise Defense Against Query-Based Black-Box Attacks
Zeyu Qin · Yanbo Fan · Hongyuan Zha · Baoyuan Wu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms
Anand Kalvit · Assaf Zeevi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
Yu Meng · Chenyan Xiong · Payal Bajaj · saurabh tiwary · Paul Bennett · Jiawei Han · XIA SONG
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Behavior From the Void: Unsupervised Active Pre-Training
Hao Liu · Pieter Abbeel
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Volume Rendering of Neural Implicit Surfaces
Lior Yariv · Jiatao Gu · Yoni Kasten · Yaron Lipman
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Kernel Identification Through Transformers
Fergus Simpson · Ian Davies · Vidhi Lalchand · Alessandro Vullo · Nicolas Durrande · Carl Edward Rasmussen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On sensitivity of meta-learning to support data
Mayank Agarwal · Mikhail Yurochkin · Yuekai Sun
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Winning Hand: Compressing Deep Networks Can Improve Out-of-Distribution Robustness
James Diffenderfer · Brian Bartoldson · Shreya Chaganti · Jize Zhang · Bhavya Kailkhura
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Shapeshifter: a Parameter-efficient Transformer using Factorized Reshaped Matrices
Aliakbar Panahi · Seyran Saeedi · Tom Arodz
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Unsupervised Part Discovery from Contrastive Reconstruction
Subhabrata Choudhury · Iro Laina · Christian Rupprecht · Andrea Vedaldi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Autonomous Reinforcement Learning via Subgoal Curricula
Archit Sharma · Abhishek Gupta · Sergey Levine · Karol Hausman · Chelsea Finn
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs
Thomas Spooner · Nelson Vadori · Sumitra Ganesh
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Object DGCNN: 3D Object Detection using Dynamic Graphs
Yue Wang · Justin Solomon
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-and-Language Pre-training
Hongwei Xue · Yupan Huang · Bei Liu · Houwen Peng · Jianlong Fu · Houqiang Li · Jiebo Luo
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies
Tim Seyde · Igor Gilitschenski · Wilko Schwarting · Bartolomeo Stellato · Martin Riedmiller · Markus Wulfmeier · Daniela Rus
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Parallelizing Thompson Sampling
Amin Karbasi · Vahab Mirrokni · Mohammad Shadravan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scalable Inference in SDEs by Direct Matching of the Fokker–Planck–Kolmogorov Equation
Arno Solin · Ella Tamir · Prakhar Verma
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Distributed Zero-Order Optimization under Adversarial Noise
Arya Akhavan · Massimiliano Pontil · Alexandre Tsybakov
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics
Carles Domingo i Enrich · Youssef Mroueh
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Class-agnostic Reconstruction of Dynamic Objects from Videos
Zhongzheng Ren · Xiaoming Zhao · Alex Schwing
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SketchGen: Generating Constrained CAD Sketches
Wamiq Para · Shariq Bhat · Paul Guerrero · Tom Kelly · Niloy Mitra · Leonidas Guibas · Peter Wonka
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
Zixuan Ke · Bing Liu · Nianzu Ma · Hu Xu · Lei Shu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Partial success in closing the gap between human and machine vision
Robert Geirhos · Kantharaju Narayanappa · Benjamin Mitzkus · Tizian Thieringer · Matthias Bethge · Felix A. Wichmann · Wieland Brendel
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation
Jogendra Nath Kundu · Siddharth Seth · Anirudh Jamkhandi · Pradyumna YM · Varun Jampani · Anirban Chakraborty · Venkatesh Babu R
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Debiased Representation via Disentangled Feature Augmentation
Jungsoo Lee · Eungyeup Kim · Juyoung Lee · Jihyeon Lee · Jaegul Choo
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
From global to local MDI variable importances for random forests and when they are Shapley values
Antonio Sutera · Gilles Louppe · Van Anh Huynh-Thu · Louis Wehenkel · Pierre Geurts
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence
Agustinus Kristiadi · Matthias Hein · Philipp Hennig
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback
Lin Yang · Yu-Zhen Janice Chen · Stephen Pasteris · Mohammad Hajiesmaili · John C. S. Lui · Don Towsley
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks
Yonggan Fu · Qixuan Yu · Yang Zhang · Shang Wu · Xu Ouyang · David Cox · Yingyan Lin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Finding Bipartite Components in Hypergraphs
Peter Macgregor · He Sun
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Robustness of Streaming Algorithms through Importance Sampling
Vladimir Braverman · Avinatan Hassidim · Yossi Matias · Mariano Schain · Sandeep Silwal · Samson Zhou
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Bias-Variance-Cost Tradeoff of Stochastic Optimization
Yifan Hu · Xin Chen · Niao He
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Robustness with Semi-Infinite Constrained Learning
Alexander Robey · Luiz Chamon · George J. Pappas · Hamed Hassani · Alejandro Ribeiro
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Credit Assignment Through Broadcasting a Global Error Vector
David Clark · L F Abbott · Sueyeon Chung
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Voxel-based 3D Detection and Reconstruction of Multiple Objects from a Single Image
Feng Liu · Xiaoming Liu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets
Irene Solaiman · Christy Dennison
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Charting and Navigating the Space of Solutions for Recurrent Neural Networks
Elia Turner · Kabir V Dabholkar · Omri Barak
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
$\texttt{LeadCache}$: Regret-Optimal Caching in Networks
Debjit Paria · Abhishek Sinha
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scaling Gaussian Processes with Derivative Information Using Variational Inference
Misha Padidar · Xinran Zhu · Leo Huang · Jacob Gardner · David Bindel
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Answering Complex Causal Queries With the Maximum Causal Set Effect
Zachary Markovich
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Private learning implies quantum stability
Yihui Quek · Srinivasan Arunachalam · John A Smolin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
ReAct: Out-of-distribution Detection With Rectified Activations
Yiyou Sun · Chuan Guo · Yixuan Li
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability
Alec Farid · Anirudha Majumdar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features
Thomas McDonald · Mauricio Álvarez
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Continuous Mapping For Augmentation Design
Keyu Tian · Chen Lin · Ser Nam Lim · Wanli Ouyang · Puneet Dokania · Philip Torr
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Wisdom of the Crowd Voting: Truthful Aggregation of Voter Information and Preferences
Grant Schoenebeck · Biaoshuai Tao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Counterfactual Invariance to Spurious Correlations in Text Classification
Victor Veitch · Alexander D'Amour · Steve Yadlowsky · Jacob Eisenstein
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The Pareto Frontier of model selection for general Contextual Bandits
Teodor Vanislavov Marinov · Julian Zimmert
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dense Unsupervised Learning for Video Segmentation
Nikita Araslanov · Simone Schaub-Meyer · Stefan Roth
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Self-Interpretable Model with Transformation Equivariant Interpretation
Yipei Wang · Xiaoqian Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Graph Neural Networks with Local Graph Parameters
Pablo Barceló · Floris Geerts · Juan Reutter · Maksimilian Ryschkov
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Refining Language Models with Compositional Explanations
Huihan Yao · Ying Chen · Qinyuan Ye · Xisen Jin · Xiang Ren
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
BayesIMP: Uncertainty Quantification for Causal Data Fusion
Siu Lun Chau · Jean-Francois Ton · Javier González · Yee Teh · Dino Sejdinovic
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Domain Adaptation with Invariant Representation Learning: What Transformations to Learn?
Petar Stojanov · Zijian Li · Mingming Gong · Ruichu Cai · Jaime Carbonell · Kun Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Analysis of one-hidden-layer neural networks via the resolvent method
Vanessa Piccolo · Dominik Schröder
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints
Maura Pintor · Fabio Roli · Wieland Brendel · Battista Biggio
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation
David Acuna · Jonah Philion · Sanja Fidler
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Comprehensive Knowledge Distillation with Causal Intervention
Xiang Deng · Zhongfei Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks
Alexandra Peste · Eugenia Iofinova · Adrian Vladu · Dan Alistarh
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bayesian decision-making under misspecified priors with applications to meta-learning
Max Simchowitz · Christopher Tosh · Akshay Krishnamurthy · Daniel Hsu · Thodoris Lykouris · Miro Dudik · Robert Schapire
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Provably Strict Generalisation Benefit for Invariance in Kernel Methods
Bryn Elesedy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Role of Optimization in Double Descent: A Least Squares Study
Ilja Kuzborskij · Csaba Szepesvari · Omar Rivasplata · Amal Rannen-Triki · Razvan Pascanu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A variational approximate posterior for the deep Wishart process
Sebastian Ober · Laurence Aitchison
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Models for Actionable Recourse
Alexis Ross · Himabindu Lakkaraju · Osbert Bastani
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scalable Thompson Sampling using Sparse Gaussian Process Models
Sattar Vakili · Henry Moss · Artem Artemev · Vincent Dutordoir · Victor Picheny
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Dueling Bandits with Team Comparisons
Lee Cohen · Ulrike Schmidt-Kraepelin · Yishay Mansour
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Auto-Curricula in Two-Player Zero-Sum Games
Xidong Feng · Oliver Slumbers · Ziyu Wan · Bo Liu · Stephen McAleer · Ying Wen · Jun Wang · Yaodong Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Asymptotically Best Causal Effect Identification with Multi-Armed Bandits
Alan Malek · Silvia Chiappa
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Ranking Policy Decisions
Hadrien Pouget · Hana Chockler · Youcheng Sun · Daniel Kroening
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation
Thibault Sejourne · Francois-Xavier Vialard · Gabriel Peyré
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
MICo: Improved representations via sampling-based state similarity for Markov decision processes
Pablo Samuel Castro · Tyler Kastner · Prakash Panangaden · Mark Rowland
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Sequential Causal Imitation Learning with Unobserved Confounders
Daniel Kumor · Junzhe Zhang · Elias Bareinboim
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Counterfactual Maximum Likelihood Estimation for Training Deep Networks
Xinyi Wang · Wenhu Chen · Michael Saxon · William Yang Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning One Representation to Optimize All Rewards
Ahmed Touati · Yann Ollivier
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize
Alain Durmus · Eric Moulines · Alexey Naumov · Sergey Samsonov · Kevin Scaman · Hoi-To Wai
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Deep Learning Through the Lens of Example Difficulty
Robert Baldock · Hartmut Maennel · Behnam Neyshabur
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Coupled Segmentation and Edge Learning via Dynamic Graph Propagation
Zhiding Yu · Rui Huang · Wonmin Byeon · Sifei Liu · Guilin Liu · Thomas Breuel · Anima Anandkumar · Jan Kautz
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Backward-Compatible Prediction Updates: A Probabilistic Approach
Frederik Träuble · Julius von Kügelgen · Matthäus Kleindessner · Francesco Locatello · Bernhard Schölkopf · Peter Gehler
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie · Wenhai Wang · Zhiding Yu · Anima Anandkumar · Jose M. Alvarez · Ping Luo
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Treatment Effects in Panels with General Intervention Patterns
Vivek Farias · Andrew Li · Tianyi Peng
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time
Ferran Alet · Maria Bauza · Kenji Kawaguchi · Nurullah Giray Kuru · Tomás Lozano-Pérez · Leslie Kaelbling
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Pseudo-Label Optimism for the Bank Loan Problem
Aldo Pacchiano · Shaun Singh · Edward Chou · Alex Berg · Jakob Foerster
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Inductive Biases for Heterogeneous Treatment Effect Estimation
Alicia Curth · Mihaela van der Schaar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online and Offline Reinforcement Learning by Planning with a Learned Model
Julian Schrittwieser · Thomas Hubert · Amol Mandhane · Mohammadamin Barekatain · Ioannis Antonoglou · David Silver
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Deep Neural Networks as Point Estimates for Deep Gaussian Processes
Vincent Dutordoir · James Hensman · Mark van der Wilk · Carl Henrik Ek · Zoubin Ghahramani · Nicolas Durrande
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Identification of Partially Observed Linear Causal Models: Graphical Conditions for the Non-Gaussian and Heterogeneous Cases
Jeffrey Adams · Niels Hansen · Kun Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Suboptimality of Thompson Sampling in High Dimensions
Raymond Zhang · Richard Combes
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Mind the Gap: Assessing Temporal Generalization in Neural Language Models
Angeliki Lazaridou · Adhi Kuncoro · Elena Gribovskaya · Devang Agrawal · Adam Liska · Tayfun Terzi · Mai Gimenez · Cyprien de Masson d'Autume · Tomas Kocisky · Sebastian Ruder · Dani Yogatama · Kris Cao · Susannah Young · Phil Blunsom
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples
Kanghyun Choi · Deokki Hong · Noseong Park · Youngsok Kim · Jinho Lee
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Spectral embedding for dynamic networks with stability guarantees
Ian Gallagher · Andrew Jones · Patrick Rubin-Delanchy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
ReSSL: Relational Self-Supervised Learning with Weak Augmentation
Mingkai Zheng · Shan You · Fei Wang · Chen Qian · Changshui Zhang · Xiaogang Wang · Chang Xu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Attention Approximates Sparse Distributed Memory
Trenton Bricken · Cengiz Pehlevan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
BARTScore: Evaluating Generated Text as Text Generation
Weizhe Yuan · Graham Neubig · Pengfei Liu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Towards Sample-efficient Overparameterized Meta-learning
Yue Sun · Adhyyan Narang · Ibrahim Gulluk · Samet Oymak · Maryam Fazel
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
Lijie Fan · Sijia Liu · Pin-Yu Chen · Gaoyuan Zhang · Chuang Gan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks
Chen Ma · Xiangyu Guo · Li Chen · Jun-Hai Yong · Yisen Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
Hanzhe Hu · Fangyun Wei · Han Hu · Qiwei Ye · Jinshi Cui · Liwei Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing
Aadarsh Sahoo · Rutav Shah · Rameswar Panda · Kate Saenko · Abir Das
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bandit Quickest Changepoint Detection
Aditya Gopalan · Braghadeesh Lakshminarayanan · Venkatesh Saligrama
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothness
Ankit Garg · Robin Kothari · Praneeth Netrapalli · Suhail Sherif
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Meta-Learning Reliable Priors in the Function Space
Jonas Rothfuss · Dominique Heyn · jinfan Chen · Andreas Krause
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Recovering Latent Causal Factor for Generalization to Distributional Shifts
Xinwei Sun · Botong Wu · Xiangyu Zheng · Chang Liu · Wei Chen · Tao Qin · Tie-Yan Liu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser
Zahra Kadkhodaie · Eero Simoncelli
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Spatio-Temporal Variational Gaussian Processes
Oliver Hamelijnck · William Wilkinson · Niki Loppi · Arno Solin · Theodoros Damoulas
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
End-to-end Multi-modal Video Temporal Grounding
Yi-Wen Chen · Yi-Hsuan Tsai · Ming-Hsuan Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Large-Scale Wasserstein Gradient Flows
Petr Mokrov · Alexander Korotin · Lingxiao Li · Aude Genevay · Justin Solomon · Evgeny Burnaev
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Long-Short Transformer: Efficient Transformers for Language and Vision
Chen Zhu · Wei Ping · Chaowei Xiao · Mohammad Shoeybi · Tom Goldstein · Anima Anandkumar · Bryan Catanzaro
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
The effectiveness of feature attribution methods and its correlation with automatic evaluation scores
Giang Nguyen · Daeyoung Kim · Anh Nguyen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization
Chengshuai Shi · Wei Xiong · Cong Shen · Jing Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Collaborative Causal Discovery with Atomic Interventions
Raghavendra Addanki · Shiva Kasiviswanathan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval
Akari Asai · Xinyan Yu · Jungo Kasai · Hanna Hajishirzi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dangers of Bayesian Model Averaging under Covariate Shift
Pavel Izmailov · Patrick Nicholson · Sanae Lotfi · Andrew Wilson
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning
Alberto Maria Metelli · Alessio Russo · Marcello Restelli
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Off-Policy Risk Assessment in Contextual Bandits
Audrey Huang · Liu Leqi · Zachary Lipton · Kamyar Azizzadenesheli
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data
Andrew Jesson · Panagiotis Tigas · Joost van Amersfoort · Andreas Kirsch · Uri Shalit · Yarin Gal
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark
Victor Zhong · Austin W. Hanjie · Sida Wang · Karthik Narasimhan · Luke Zettlemoyer
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Random Shuffling Beats SGD Only After Many Epochs on Ill-Conditioned Problems
Itay Safran · Ohad Shamir
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Biological learning in key-value memory networks
Danil Tyulmankov · Ching Fang · Annapurna Vadaparty · Guangyu Robert Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Provably Efficient Causal Reinforcement Learning with Confounded Observational Data
Lingxiao Wang · Zhuoran Yang · Zhaoran Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reverse-Complement Equivariant Networks for DNA Sequences
Vincent Mallet · Jean-Philippe Vert
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Kernel-based Test of Independence for Cluster-correlated Data
Hongjiao Liu · Anna Plantinga · Yunhua Xiang · Michael Wu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Marginalised Gaussian Processes with Nested Sampling
Fergus Simpson · Vidhi Lalchand · Carl Edward Rasmussen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Data Augmentation Can Improve Robustness
Sylvestre-Alvise Rebuffi · Sven Gowal · Dan Andrei Calian · Florian Stimberg · Olivia Wiles · Timothy A Mann
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
DiBS: Differentiable Bayesian Structure Learning
Lars Lorch · Jonas Rothfuss · Bernhard Schölkopf · Andreas Krause
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Approximating the Permanent with Deep Rejection Sampling
Juha Harviainen · Antti Röyskö · Mikko Koivisto
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Iterative Connecting Probability Estimation for Networks
Yichen Qin · Linhan Yu · Yang Li
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Multilingual Pre-training with Universal Dependency Learning
Kailai Sun · Zuchao Li · Hai Zhao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimal Rates for Nonparametric Density Estimation under Communication Constraints
Jayadev Acharya · Clement Canonne · Aditya Vikram Singh · Himanshu Tyagi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Grounding Spatio-Temporal Language with Transformers
Tristan Karch · Laetitia Teodorescu · Katja Hofmann · Clément Moulin-Frier · Pierre-Yves Oudeyer
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
A Universal Law of Robustness via Isoperimetry
Sebastien Bubeck · Mark Sellke
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time
Anshul Nasery · Soumyadeep Thakur · Vihari Piratla · Abir De · Sunita Sarawagi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The Difficulty of Passive Learning in Deep Reinforcement Learning
Georg Ostrovski · Pablo Samuel Castro · Will Dabney
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online learning in MDPs with linear function approximation and bandit feedback.
Gergely Neu · Julia Olkhovskaya
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning
Jannik Kossen · Neil Band · Clare Lyle · Aidan Gomez · Thomas Rainforth · Yarin Gal
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
The decomposition of the higher-order homology embedding constructed from the $k$-Laplacian
Yu-Chia Chen · Marina Meila
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning rule influences recurrent network representations but not attractor structure in decision-making tasks
Brandon McMahan · Michael Kleinman · Jonathan Kao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation
Jungbeom Lee · Jooyoung Choi · Jisoo Mok · Sungroh Yoon
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Deformable Butterfly: A Highly Structured and Sparse Linear Transform
Rui Lin · Jie Ran · King Hung Chiu · Graziano Chesi · Ngai Wong
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration
Yan Sun · Wenjun Xiong · Faming Liang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The balancing principle for parameter choice in distance-regularized domain adaptation
Werner Zellinger · Natalia Shepeleva · Marius-Constantin Dinu · Hamid Eghbal-zadeh · Hoan Duc Nguyen · Bernhard Nessler · Sergei Pereverzyev · Bernhard A. Moser
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
R-Drop: Regularized Dropout for Neural Networks
xiaobo liang · Lijun Wu · Juntao Li · Yue Wang · Qi Meng · Tao Qin · Wei Chen · Min Zhang · Tie-Yan Liu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Margin-Based Cluster Recovery with Oracle Queries
Marco Bressan · Nicolò Cesa-Bianchi · Silvio Lattanzi · Andrea Paudice
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery
Ramesha Rakesh Mugaludi · Jogendra Nath Kundu · Varun Jampani · Venkatesh Babu R
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space
Dror Freirich · Tomer Michaeli · Ron Meir
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
An Image is Worth More Than a Thousand Words: Towards Disentanglement in The Wild
Aviv Gabbay · Niv Cohen · Yedid Hoshen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Implicit Task-Driven Probability Discrepancy Measure for Unsupervised Domain Adaptation
Mao Li · Kaiqi Jiang · Xinhua Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Relative stability toward diffeomorphisms indicates performance in deep nets
Leonardo Petrini · Alessandro Favero · Mario Geiger · Matthieu Wyart
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Spot the Difference: Detection of Topological Changes via Geometric Alignment
Per Steffen Czolbe · Aasa Feragen · Oswin Krause
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer
Zineng Tang · Jaemin Cho · Hao Tan · Mohit Bansal
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods
Seohong Park · Jaekyeom Kim · Gunhee Kim
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
Alicia Curth · Changhee Lee · Mihaela van der Schaar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A sampling-based circuit for optimal decision making
Camille Rullán Buxó · Cristina Savin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness
Zifeng Wang · Tong Jian · Aria Masoomi · Stratis Ioannidis · Jennifer Dy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Matching a Desired Causal State via Shift Interventions
Jiaqi Zhang · Chandler Squires · Caroline Uhler
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimal Order Simple Regret for Gaussian Process Bandits
Sattar Vakili · Nacime Bouziani · Sepehr Jalali · Alberto Bernacchia · Da-shan Shiu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Multimodal Virtual Point 3D Detection
Tianwei Yin · Xingyi Zhou · Philipp Krähenbühl
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Graph Augmentation to Improve Graph Contrastive Learning
Susheel Suresh · Pan Li · Cong Hao · Jennifer Neville
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
An analysis of Ermakov-Zolotukhin quadrature using kernels
Ayoub Belhadji
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
A unified framework for bandit multiple testing
Ziyu Xu · Ruodu Wang · Aaditya Ramdas
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning
Tengyang Xie · Nan Jiang · Huan Wang · Caiming Xiong · Yu Bai
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Tighter Expected Generalization Error Bounds via Wasserstein Distance
Borja Rodríguez Gálvez · German Bassi · Ragnar Thobaben · Mikael Skoglund
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Collaborative Uncertainty in Multi-Agent Trajectory Forecasting
Bohan Tang · Yiqi Zhong · Ulrich Neumann · Gang Wang · Siheng Chen · Ya Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Gradient-based Hyperparameter Optimization Over Long Horizons
Paul Micaelli · Amos Storkey
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections
Kimia Nadjahi · Alain Durmus · Pierre E Jacob · Roland Badeau · Umut Simsekli
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training
Sheng Liu · Xiao Li · Yuexiang Zhai · Chong You · Zhihui Zhu · Carlos Fernandez-Granda · Qing Qu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
Jiaxing Huang · Dayan Guan · Aoran Xiao · Shijian Lu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A first-order primal-dual method with adaptivity to local smoothness
Maria-Luiza Vladarean · Yura Malitsky · Volkan Cevher
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Exploiting a Zoo of Checkpoints for Unseen Tasks
Jiaji Huang · Qiang Qiu · Kenneth Church
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Moser Flow: Divergence-based Generative Modeling on Manifolds
Noam Rozen · Aditya Grover · Maximilian Nickel · Yaron Lipman
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimal Gradient-based Algorithms for Non-concave Bandit Optimization
Baihe Huang · Kaixuan Huang · Sham Kakade · Jason Lee · Qi Lei · Runzhe Wang · Jiaqi Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motion
Hongyi Xu · Thiemo Alldieck · Cristian Sminchisescu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game
Alexander Reisach · Christof Seiler · Sebastian Weichwald
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Environment Generation for Zero-Shot Compositional Reinforcement Learning
Izzeddin Gur · Natasha Jaques · Yingjie Miao · Jongwook Choi · Manoj Tiwari · Honglak Lee · Aleksandra Faust
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Numerical influence of ReLU’(0) on backpropagation
David Bertoin · Jérôme Bolte · Sébastien Gerchinovitz · Edouard Pauwels
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Variational Diffusion Models
Diederik Kingma · Tim Salimans · Ben Poole · Jonathan Ho
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Nonsmooth Implicit Differentiation for Machine-Learning and Optimization
Jérôme Bolte · Tam Le · Edouard Pauwels · Tony Silveti-Falls
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
Feng Liu · Wenkai Xu · Jie Lu · [deadname] Sutherland
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online Convex Optimization with Continuous Switching Constraint
Guanghui Wang · Yuanyu Wan · Tianbao Yang · Lijun Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Unsupervised Object-Based Transition Models For 3D Partially Observable Environments
Antonia Creswell · Rishabh Kabra · Chris Burgess · Murray Shanahan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness
Jongheon Jeong · Sejun Park · Minkyu Kim · Heung-Chang Lee · Do-Guk Kim · Jinwoo Shin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
Haoang Chi · Feng Liu · Wenjing Yang · Long Lan · Tongliang Liu · Bo Han · William Cheung · James Kwok
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation
Yunhao Tang · Tadashi Kozuno · Mark Rowland · Remi Munos · Michal Valko
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Estimating Multi-cause Treatment Effects via Single-cause Perturbation
Zhaozhi Qian · Alicia Curth · Mihaela van der Schaar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Score-based Generative Neural Networks for Large-Scale Optimal Transport
Grady Daniels · Tyler Maunu · Paul Hand
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Residual Relaxation for Multi-view Representation Learning
Yifei Wang · Zhengyang Geng · Feng Jiang · Chuming Li · Yisen Wang · Jiansheng Yang · Zhouchen Lin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scaling Vision with Sparse Mixture of Experts
Carlos Riquelme · Joan Puigcerver · Basil Mustafa · Maxim Neumann · Rodolphe Jenatton · André Susano Pinto · Daniel Keysers · Neil Houlsby
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Double Machine Learning Density Estimation for Local Treatment Effects with Instruments
Yonghan Jung · Jin Tian · Elias Bareinboim
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Pure Exploration in Kernel and Neural Bandits
Yinglun Zhu · Dongruo Zhou · Ruoxi Jiang · Quanquan Gu · Rebecca Willett · Robert Nowak
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive?
Yuejiang Liu · Parth Kothari · Bastien van Delft · Baptiste Bellot-Gurlet · Taylor Mordan · Alexandre Alahi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Partition and Code: learning how to compress graphs
Giorgos Bouritsas · Andreas Loukas · Nikolaos Karalias · Michael Bronstein
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery
Chris Cundy · Aditya Grover · Stefano Ermon
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information
Ryusei Shingaki · manabu kuroki
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Revisiting Deep Learning Models for Tabular Data
Yury Gorishniy · Ivan Rubachev · Valentin Khrulkov · Artem Babenko
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes
Zhaozhi Qian · Yao Zhang · Ioana Bica · Angela Wood · Mihaela van der Schaar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Passive attention in artificial neural networks predicts human visual selectivity
Thomas Langlois · Haicheng Zhao · Erin Grant · Ishita Dasgupta · Tom Griffiths · Nori Jacoby
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Locality defeats the curse of dimensionality in convolutional teacher-student scenarios
Alessandro Favero · Francesco Cagnetta · Matthieu Wyart
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Rishabh Agarwal · Max Schwarzer · Pablo Samuel Castro · Aaron Courville · Marc Bellemare
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Multi-modal Dependency Tree for Video Captioning
Wentian Zhao · Xinxiao Wu · Jiebo Luo
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages
Marie-Anne Lachaux · Baptiste Roziere · Marc Szafraniec · Guillaume Lample
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reusing Combinatorial Structure: Faster Iterative Projections over Submodular Base Polytopes
Jai Moondra · Hassan Mortagy · Swati Gupta
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The Causal-Neural Connection: Expressiveness, Learnability, and Inference
Kevin Xia · Kai-Zhan Lee · Yoshua Bengio · Elias Bareinboim
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimal Best-Arm Identification Methods for Tail-Risk Measures
Shubhada Agrawal · Wouter Koolen · Sandeep Juneja
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
On Success and Simplicity: A Second Look at Transferable Targeted Attacks
Zhengyu Zhao · Zhuoran Liu · Martha Larson
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks
Robert Lieck · Martin Rohrmeier
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problems
Stefano Sarao Mannelli · Pierfrancesco Urbani
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Nested Variational Inference
Heiko Zimmermann · Hao Wu · Babak Esmaeili · Jan-Willem van de Meent
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency
Anish Chakrabarty · Swagatam Das
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams
Chawin Sitawarin · Evgenios Kornaropoulos · Dawn Song · David Wagner
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport
Hsin-Yi Lin · Huan-Hsin Tseng · Xugang Lu · Yu Tsao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Object-aware Contrastive Learning for Debiased Scene Representation
Sangwoo Mo · Hyunwoo Kang · Kihyuk Sohn · Chun-Liang Li · Jinwoo Shin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Weisfeiler and Lehman Go Cellular: CW Networks
Cristian Bodnar · Fabrizio Frasca · Nina Otter · Yuguang Wang · Pietro Liò · Guido Montufar · Michael Bronstein
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Improving Robustness using Generated Data
Sven Gowal · Sylvestre-Alvise Rebuffi · Olivia Wiles · Florian Stimberg · Dan Andrei Calian · Timothy A Mann
[ Slides
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Do Vision Transformers See Like Convolutional Neural Networks?
Maithra Raghu · Thomas Unterthiner · Simon Kornblith · Chiyuan Zhang · Alexey Dosovitskiy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Statistically and Computationally Efficient Linear Meta-representation Learning
Kiran Thekumparampil · Prateek Jain · Praneeth Netrapalli · Sewoong Oh
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining
Weizhe Hua · Yichi Zhang · Chuan Guo · Zhiru Zhang · G. Edward Suh
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
Kartik Ahuja · Ethan Caballero · Dinghuai Zhang · Jean-Christophe Gagnon-Audet · Yoshua Bengio · Ioannis Mitliagkas · Irina Rish
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Early Convolutions Help Transformers See Better
Tete Xiao · Mannat Singh · Eric Mintun · Trevor Darrell · Piotr Dollar · Ross Girshick
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Examples Make Strong Poisons
Liam Fowl · Micah Goldblum · Ping-yeh Chiang · Jonas Geiping · Wojciech Czaja · Tom Goldstein
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online Learning and Control of Complex Dynamical Systems from Sensory Input
Oumayma Bounou · Jean Ponce · Justin Carpentier
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Streaming Belief Propagation for Community Detection
Yuchen Wu · Jakab Tardos · Mohammadhossein Bateni · André Linhares · Filipe Miguel Goncalves de Almeida · Andrea Montanari · Ashkan Norouzi-Fard
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Memorization in Probabilistic Deep Generative Models
Gerrit van den Burg · Chris Williams
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Improving Calibration through the Relationship with Adversarial Robustness
Yao Qin · Xuezhi Wang · Alex Beutel · Ed Chi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Impression learning: Online representation learning with synaptic plasticity
Colin Bredenberg · Benjamin Lyo · Eero Simoncelli · Cristina Savin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Conditioning Sparse Variational Gaussian Processes for Online Decision-making
Wesley Maddox · Samuel Stanton · Andrew Wilson
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels
Michael Hutchinson · Alexander Terenin · Viacheslav Borovitskiy · So Takao · Yee Teh · Marc Deisenroth
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Generalizable Imitation Learning from Observation via Inferring Goal Proximity
Youngwoon Lee · Andrew Szot · Shao-Hua Sun · Joseph Lim
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online Multi-Armed Bandits with Adaptive Inference
Maria Dimakopoulou · Zhimei Ren · Zhengyuan Zhou
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception
Joel Dapello · Jenelle Feather · Hang Le · Tiago Marques · David Cox · Josh McDermott · James J DiCarlo · Sueyeon Chung
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Skipping the Frame-Level: Event-Based Piano Transcription With Neural Semi-CRFs
Yujia Yan · Frank Cwitkowitz · Zhiyao Duan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dynamical Wasserstein Barycenters for Time-series Modeling
Kevin Cheng · Shuchin Aeron · Michael Hughes · Eric L Miller
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bootstrap Your Object Detector via Mixed Training
Mengde Xu · Zheng Zhang · Fangyun Wei · Yutong Lin · Yue Cao · Stephen Lin · Han Hu · Xiang Bai
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild
Jason Zhang · Gengshan Yang · Shubham Tulsiani · Deva Ramanan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Can fMRI reveal the representation of syntactic structure in the brain?
Aniketh Janardhan Reddy · Leila Wehbe
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
MarioNette: Self-Supervised Sprite Learning
Dmitriy Smirnov · MICHAEL GHARBI · Matthew Fisher · Vitor Guizilini · Alexei Efros · Justin Solomon
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dynamic population-based meta-learning for multi-agent communication with natural language
Abhinav Gupta · Marc Lanctot · Angeliki Lazaridou
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Attacks on Graph Classifiers via Bayesian Optimisation
Xingchen Wan · Henry Kenlay · Robin Ru · Arno Blaas · Michael A Osborne · Xiaowen Dong
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Human-Adversarial Visual Question Answering
Sasha Sheng · Amanpreet Singh · Vedanuj Goswami · Jose Magana · Tristan Thrush · Wojciech Galuba · Devi Parikh · Douwe Kiela
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation
Weiming Liu · Jiajie Su · Chaochao Chen · Xiaolin Zheng
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Predicting What You Already Know Helps: Provable Self-Supervised Learning
Jason Lee · Qi Lei · Nikunj Saunshi · JIACHENG ZHUO
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Efficient Bayesian network structure learning via local Markov boundary search
Ming Gao · Bryon Aragam
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Detecting Moments and Highlights in Videos via Natural Language Queries
Jie Lei · Tamara L Berg · Mohit Bansal
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Noether Networks: meta-learning useful conserved quantities
Ferran Alet · Dylan Doblar · Allan Zhou · Josh Tenenbaum · Kenji Kawaguchi · Chelsea Finn
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fast Certified Robust Training with Short Warmup
Zhouxing Shi · Yihan Wang · Huan Zhang · Jinfeng Yi · Cho-Jui Hsieh
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Calibration and Consistency of Adversarial Surrogate Losses
Pranjal Awasthi · Natalie Frank · Anqi Mao · Mehryar Mohri · Yutao Zhong
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Causal Inference for Event Pairs in Multivariate Point Processes
Tian Gao · Dharmashankar Subramanian · Debarun Bhattacharjya · Xiao Shou · Nicholas Mattei · Kristin P Bennett
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Your head is there to move you around: Goal-driven models of the primate dorsal pathway
Patrick Mineault · Shahab Bakhtiari · Blake Richards · Christopher Pack
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Escape saddle points by a simple gradient-descent based algorithm
Chenyi Zhang · Tongyang Li
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dynamics of Stochastic Momentum Methods on Large-scale, Quadratic Models
Courtney Paquette · Elliot Paquette
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks
Sandesh Kamath · Amit Deshpande · Subrahmanyam Kambhampati Venkata · Vineeth N Balasubramanian
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
Hassan Akbari · Liangzhe Yuan · Rui Qian · Wei-Hong Chuang · Shih-Fu Chang · Yin Cui · Boqing Gong
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Temporally Abstract Partial Models
Khimya Khetarpal · Zafarali Ahmed · Gheorghe Comanici · Doina Precup
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL
Khaled Nakhleh · Santosh Ganji · Ping-Chun Hsieh · I-Hong Hou · Srinivas Shakkottai
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Confident Anchor-Induced Multi-Source Free Domain Adaptation
Jiahua Dong · Zhen Fang · Anjin Liu · Gan Sun · Tongliang Liu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Near-Optimal Offline Reinforcement Learning via Double Variance Reduction
Ming Yin · Yu Bai · Yu-Xiang Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
One Explanation is Not Enough: Structured Attention Graphs for Image Classification
Vivswan Shitole · Fuxin Li · Minsuk Kahng · Prasad Tadepalli · Alan Fern
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bandits with Knapsacks beyond the Worst Case
Karthik Abinav Sankararaman · Aleksandrs Slivkins
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark
Alexander Korotin · Lingxiao Li · Aude Genevay · Justin Solomon · Alexander Filippov · Evgeny Burnaev
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance
Justin Lim · Christina X Ji · Michael Oberst · Saul Blecker · Leora Horwitz · David Sontag
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Overinterpretation reveals image classification model pathologies
Brandon Carter · Siddhartha Jain · Jonas Mueller · David Gifford
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Cardinality-Regularized Hawkes-Granger Model
Tsuyoshi Ide · Georgios Kollias · Dzung Phan · Naoki Abe
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning with Algorithmic Supervision via Continuous Relaxations
Felix Petersen · Christian Borgelt · Hilde Kuehne · Oliver Deussen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning
Ligeng Zhu · Hongzhou Lin · Yao Lu · Yujun Lin · Song Han
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
BNS: Building Network Structures Dynamically for Continual Learning
Qi Qin · Wenpeng Hu · Han Peng · Dongyan Zhao · Bing Liu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks
Frank Schneider · Felix Dangel · Philipp Hennig
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness
Zhuolin Yang · Linyi Li · Xiaojun Xu · Shiliang Zuo · Qian Chen · Pan Zhou · Benjamin Rubinstein · Ce Zhang · Bo Li
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
NORESQA: A Framework for Speech Quality Assessment using Non-Matching References
Pranay Manocha · Buye Xu · Anurag Kumar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SE(3)-equivariant prediction of molecular wavefunctions and electronic densities
Oliver Unke · Mihail Bogojeski · Michael Gastegger · Mario Geiger · Tess Smidt · Klaus-Robert Müller
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Statistical Inference with M-Estimators on Adaptively Collected Data
Kelly Zhang · Lucas Janson · Susan Murphy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation
Jixuan Wang · Kuan-Chieh Wang · Frank Rudzicz · Michael Brudno
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
DOCTOR: A Simple Method for Detecting Misclassification Errors
Federica Granese · Marco Romanelli · Daniele Gorla · Catuscia Palamidessi · Pablo Piantanida
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Explaining Hyperparameter Optimization via Partial Dependence Plots
Julia Moosbauer · Julia Herbinger · Giuseppe Casalicchio · Marius Lindauer · Bernd Bischl
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Regret Bounds for Gaussian-Process Optimization in Large Domains
Manuel Wuethrich · Bernhard Schölkopf · Andreas Krause
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Episodes, Prototypical Networks, and Few-Shot Learning
Steinar Laenen · Luca Bertinetto
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature
Kefan Dong · Jiaqi Yang · Tengyu Ma
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarially Robust Change Point Detection
Mengchu Li · Yi Yu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge
Reda Ouhamma · Odalric-Ambrym Maillard · Vianney Perchet
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Deconditional Downscaling with Gaussian Processes
Siu Lun Chau · Shahine Bouabid · Dino Sejdinovic
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Calibration and Out-of-Domain Generalization
Yoav Wald · Amir Feder · Daniel Greenfeld · Uri Shalit
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scalable Intervention Target Estimation in Linear Models
Burak Varici · Karthikeyan Shanmugam · Prasanna Sattigeri · Ali Tajer
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Multi-Objective Meta Learning
Feiyang YE · Baijiong Lin · Zhixiong Yue · Pengxin Guo · Qiao Xiao · Yu Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Domain Invariant Representation Learning with Domain Density Transformations
A. Tuan Nguyen · Toan Tran · Yarin Gal · Atilim Gunes Baydin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Across-animal odor decoding by probabilistic manifold alignment
Pedro Herrero-Vidal · Dmitry Rinberg · Cristina Savin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bubblewrap: Online tiling and real-time flow prediction on neural manifolds
Anne Draelos · Pranjal Gupta · Na Young Jun · Chaichontat Sriworarat · John Pearson
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Causal Effect Inference for Structured Treatments
Jean Kaddour · Yuchen Zhu · Qi Liu · Matt Kusner · Ricardo Silva
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fast rates for prediction with limited expert advice
El Mehdi Saad · Gilles Blanchard
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
CrypTen: Secure Multi-Party Computation Meets Machine Learning
Brian Knott · Shobha Venkataraman · Awni Hannun · Shubho Sengupta · Mark Ibrahim · Laurens van der Maaten
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Understanding Adaptive, Multiscale Temporal Integration In Deep Speech Recognition Systems
Menoua Keshishian · Samuel Norman-Haignere · Nima Mesgarani
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Post-Contextual-Bandit Inference
Aurelien Bibaut · Maria Dimakopoulou · Nathan Kallus · Antoine Chambaz · Mark van der Laan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Offline RL Without Off-Policy Evaluation
David Brandfonbrener · Will Whitney · Rajesh Ranganath · Joan Bruna
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Piper: Multidimensional Planner for DNN Parallelization
Jakub Tarnawski · Deepak Narayanan · Amar Phanishayee
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Component Interactions in Two-Stage Recommender Systems
Jiri Hron · Karl Krauth · Michael Jordan · Niki Kilbertus
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Robustness via Uncertainty-aware Cycle Consistency
Uddeshya Upadhyay · Yanbei Chen · Zeynep Akata
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Meta Learning Backpropagation And Improving It
Louis Kirsch · Jürgen Schmidhuber
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Validation Free and Replication Robust Volume-based Data Valuation
Xinyi Xu · Zhaoxuan Wu · Chuan Sheng Foo · Bryan Kian Hsiang Low
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Critical Look at the Consistency of Causal Estimation with Deep Latent Variable Models
Severi Rissanen · Pekka Marttinen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarially robust learning for security-constrained optimal power flow
Priya Donti · Aayushya Agarwal · Neeraj Vijay Bedmutha · Larry Pileggi · J. Zico Kolter
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis
Qi CHEN · Changjian Shui · Mario Marchand
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Language models enable zero-shot prediction of the effects of mutations on protein function
Joshua Meier · Roshan Rao · Robert Verkuil · Jason Liu · Tom Sercu · Alex Rives
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Can Information Flows Suggest Targets for Interventions in Neural Circuits?
Praveen Venkatesh · Sanghamitra Dutta · Neil Mehta · Pulkit Grover
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reformulating Zero-shot Action Recognition for Multi-label Actions
Alec Kerrigan · Kevin Duarte · Yogesh Rawat · Mubarak Shah
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Training Neural Networks with Fixed Sparse Masks
Yi-Lin Sung · Varun Nair · Colin Raffel
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership
Xuxi Chen · Tianlong Chen · Zhenyu Zhang · Zhangyang Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Editing a classifier by rewriting its prediction rules
Shibani Santurkar · Dimitris Tsipras · Mahalaxmi Elango · David Bau · Antonio Torralba · Aleksander Madry
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
Geng Yuan · Xiaolong Ma · Wei Niu · Zhengang Li · Zhenglun Kong · Ning Liu · Yifan Gong · Zheng Zhan · Chaoyang He · Qing Jin · Siyue Wang · Minghai Qin · Bin Ren · Yanzhi Wang · Sijia Liu · Xue Lin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning
Jiani Huang · Ziyang Li · Binghong Chen · Karan Samel · Mayur Naik · Le Song · Xujie Si
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination
Dylan Foster · Akshay Krishnamurthy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Monte Carlo Tree Search With Iteratively Refining State Abstractions
Samuel Sokota · Caleb Y Ho · Zaheen Ahmad · J. Zico Kolter
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online Sign Identification: Minimization of the Number of Errors in Thresholding Bandits
Reda Ouhamma · Odalric-Ambrym Maillard · Vianney Perchet
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Large-Scale Learning with Fourier Features and Tensor Decompositions
Frederiek Wesel · Kim Batselier
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Information Directed Sampling for Sparse Linear Bandits
Botao Hao · Tor Lattimore · Wei Deng
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A flow-based latent state generative model of neural population responses to natural images
Mohammad Bashiri · Edgar Walker · Konstantin-Klemens Lurz · Akshay Jagadish · Taliah Muhammad · Zhiwei Ding · Zhuokun Ding · Andreas Tolias · Fabian Sinz
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Evaluating model performance under worst-case subpopulations
Mike Li · Hongseok Namkoong · Shangzhou Xia
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
Xiaolong Ma · Geng Yuan · Xuan Shen · Tianlong Chen · Xuxi Chen · Xiaohan Chen · Ning Liu · Minghai Qin · Sijia Liu · Zhangyang Wang · Yanzhi Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias
Sina Akbari · Ehsan Mokhtarian · AmirEmad Ghassami · Negar Kiyavash
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Cortico-cerebellar networks as decoupling neural interfaces
Joseph Pemberton · Ellen Boven · Richard Apps · Rui Ponte Costa
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Cardinality constrained submodular maximization for random streams
Paul Liu · Aviad Rubinstein · Jan Vondrak · Junyao Zhao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Rate of Convergence of Regularized Learning in Games: From Bandits and Uncertainty to Optimism and Beyond
Angeliki Giannou · Emmanouil-Vasileios Vlatakis-Gkaragkounis · Panayotis Mertikopoulos
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
One More Step Towards Reality: Cooperative Bandits with Imperfect Communication
Udari Madhushani · Abhimanyu Dubey · Naomi Leonard · Alex Pentland
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Continuous vs. Discrete Optimization of Deep Neural Networks
Omer Elkabetz · Nadav Cohen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Linear-Time Probabilistic Solution of Boundary Value Problems
Nicholas Krämer · Philipp Hennig
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images
Shaofei Wang · Marko Mihajlovic · Qianli Ma · Andreas Geiger · Siyu Tang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models
Hannah Rose Kirk · yennie jun · Filippo Volpin · Haider Iqbal · Elias Benussi · Frederic Dreyer · Aleksandar Shtedritski · Yuki Asano
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning to Adapt via Latent Domains for Adaptive Semantic Segmentation
Yunan Liu · Shanshan Zhang · Yang Li · Jian Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics
Bhavin Choksi · Milad Mozafari · Callum Biggs O'May · B. ADOR · Andrea Alamia · Rufin VanRullen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
The Inductive Bias of Quantum Kernels
Jonas Kübler · Simon Buchholz · Bernhard Schölkopf
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Stateful ODE-Nets using Basis Function Expansions
Alejandro Queiruga · N. Benjamin Erichson · Liam Hodgkinson · Michael Mahoney
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Active Offline Policy Selection
Ksenia Konyushova · Yutian Chen · Thomas Paine · Caglar Gulcehre · Cosmin Paduraru · Daniel Mankowitz · Misha Denil · Nando de Freitas
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
Sheheryar Zaidi · Arber Zela · Thomas Elsken · Chris C Holmes · Frank Hutter · Yee Teh
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A No-go Theorem for Robust Acceleration in the Hyperbolic Plane
Linus Hamilton · Ankur Moitra
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Automatic Unsupervised Outlier Model Selection
Yue Zhao · Ryan Rossi · Leman Akoglu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Generalized Gumbel-max Causal Mechanisms
Guy Lorberbom · Daniel D. Johnson · Chris Maddison · Daniel Tarlow · Tamir Hazan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimizing Reusable Knowledge for Continual Learning via Metalearning
Julio Hurtado · Alain Raymond · Alvaro Soto
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Multi-Armed Bandits with Bounded Arm-Memory: Near-Optimal Guarantees for Best-Arm Identification and Regret Minimization
Arnab Maiti · Vishakha Patil · Arindam Khan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Test-Time Personalization with a Transformer for Human Pose Estimation
Yizhuo Li · Miao Hao · Zonglin Di · Nitesh Bharadwaj Gundavarapu · Xiaolong Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions
Ignavier Ng · Yujia Zheng · Jiji Zhang · Kun Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
Julius von Kügelgen · Yash Sharma · Luigi Gresele · Wieland Brendel · Bernhard Schölkopf · Michel Besserve · Francesco Locatello
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Encoding Robustness to Image Style via Adversarial Feature Perturbations
Manli Shu · Zuxuan Wu · Micah Goldblum · Tom Goldstein
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
MAU: A Motion-Aware Unit for Video Prediction and Beyond
Zheng Chang · Xinfeng Zhang · Shanshe Wang · Siwei Ma · Yan Ye · Xiang Xinguang · Wen Gao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scalable Diverse Model Selection for Accessible Transfer Learning
Daniel Bolya · Rohit Mittapalli · Judy Hoffman
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing
Charles Blake · Vitaly Kurin · Maximilian Igl · Shimon Whiteson
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SOLQ: Segmenting Objects by Learning Queries
Bin Dong · Fangao Zeng · Tiancai Wang · Xiangyu Zhang · Yichen Wei
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Iterative Amortized Policy Optimization
Joseph Marino · Alexandre Piche · Alessandro Davide Ialongo · Yisong Yue
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks
Jacob Springer · Melanie Mitchell · Garrett Kenyon
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose
Shih-Yang Su · Frank Yu · Michael Zollhoefer · Helge Rhodin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fast and accurate randomized algorithms for low-rank tensor decompositions
Linjian Ma · Edgar Solomonik
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines
Aurélien Decelle · Cyril Furtlehner · Beatriz Seoane
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online Matching in Sparse Random Graphs: Non-Asymptotic Performances of Greedy Algorithm
Nathan Noiry · Vianney Perchet · Flore Sentenac
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms
Alexander Camuto · George Deligiannidis · Murat Erdogdu · Mert Gurbuzbalaban · Umut Simsekli · Lingjiong Zhu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Stabilizing Dynamical Systems via Policy Gradient Methods
Juan Perdomo · Jack Umenberger · Max Simchowitz
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Residual2Vec: Debiasing graph embedding with random graphs
Sadamori Kojaku · Jisung Yoon · Isabel Constantino · Yong-Yeol Ahn
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition
Rishabh Kabra · Daniel Zoran · Goker Erdogan · Loic Matthey · Antonia Creswell · Matt Botvinick · Alexander Lerchner · Chris Burgess
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Computer-Aided Design as Language
Yaroslav Ganin · Sergey Bartunov · Yujia Li · Ethan Keller · Stefano Saliceti
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks
Maksym Yatsura · Jan Metzen · Matthias Hein
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Decentralized Learning in Online Queuing Systems
Flore Sentenac · Etienne Boursier · Vianney Perchet
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Compressive Visual Representations
Kuang-Huei Lee · Anurag Arnab · Sergio Guadarrama · John Canny · Ian Fischer
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience
Dominic Gonschorek · Larissa Höfling · Klaudia P. Szatko · Katrin Franke · Timm Schubert · Benjamin Dunn · Philipp Berens · David Klindt · Thomas Euler
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Accurate Point Cloud Registration with Robust Optimal Transport
Zhengyang Shen · Jean Feydy · Peirong Liu · Ariel H Curiale · Ruben San Jose Estepar · Raul San Jose Estepar · Marc Niethammer
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Interpretable agent communication from scratch (with a generic visual processor emerging on the side)
Roberto Dessi · Eugene Kharitonov · Baroni Marco
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers
Ramakrishna Vedantam · David Lopez-Paz · David Schwab
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning
Christopher Rytting · David Wingate
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training
Minguk Kang · Woohyeon Shim · Minsu Cho · Jaesik Park
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Separation Result Between Data-oblivious and Data-aware Poisoning Attacks
Samuel Deng · Sanjam Garg · Somesh Jha · Saeed Mahloujifar · Mohammad Mahmoody · Abhradeep Guha Thakurta
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fitting summary statistics of neural data with a differentiable spiking network simulator
Guillaume Bellec · Shuqi Wang · Alireza Modirshanechi · Johanni Brea · Wulfram Gerstner
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time
Feng Zhu · Andrew Sedler · Harrison A Grier · Nauman Ahad · Mark Davenport · Matthew Kaufman · Andrea Giovannucci · Chethan Pandarinath
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach
Anindya Sarkar · Anirban Sarkar · Sowrya Gali · Vineeth N Balasubramanian
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization
Yusuke Iwasawa · Yutaka Matsuo
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Bayesian Optimization with High-Dimensional Outputs
Wesley Maddox · Maximilian Balandat · Andrew Wilson · Eytan Bakshy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Self-Consistent Models and Values
Greg Farquhar · Kate Baumli · Zita Marinho · Angelos Filos · Matteo Hessel · Hado van Hasselt · David Silver
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Achieving Rotational Invariance with Bessel-Convolutional Neural Networks
Valentin Delchevalerie · Adrien Bibal · Benoît Frénay · Alexandre Mayer
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems
Zixiu Wang · Yiwen Guo · Hu Ding
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bandit Phase Retrieval
Tor Lattimore · Botao Hao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimal Policies Tend To Seek Power
Alex Turner · Logan Smith · Rohin Shah · Andrew Critch · Prasad Tadepalli
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Universality of Graph Neural Networks on Large Random Graphs
Nicolas Keriven · Alberto Bietti · Samuel Vaiter
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Identifying and Benchmarking Natural Out-of-Context Prediction Problems
David Madras · Richard Zemel
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise
Guodong Zhang · Kyle Hsu · Jianing Li · Chelsea Finn · Roger Grosse
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
From Optimality to Robustness: Adaptive Re-Sampling Strategies in Stochastic Bandits
Dorian Baudry · Patrick Saux · Odalric-Ambrym Maillard
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning
Alireza Fallah · Kristian Georgiev · Aryan Mokhtari · Asuman Ozdaglar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems
Yiheng Lin · Yang Hu · Guanya Shi · Haoyuan Sun · Guannan Qu · Adam Wierman
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Robust Hierarchical Patterns of Human Brain across Many fMRI Studies
Dushyant Sahoo · Christos Davatzikos
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
Shiqi Yang · yaxing wang · Joost van de Weijer · Luis Herranz · Shangling Jui
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Measuring Generalization with Optimal Transport
Ching-Yao Chuang · Youssef Mroueh · Kristjan Greenewald · Antonio Torralba · Stefanie Jegelka
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Black Box Probabilistic Numerics
Onur Teymur · Christopher Foley · Philip Breen · Toni Karvonen · Chris Oates
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Structured Reordering for Modeling Latent Alignments in Sequence Transduction
bailin wang · Mirella Lapata · Ivan Titov
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding
Andreis Bruno · Jeffrey Willette · Juho Lee · Sung Ju Hwang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Implicit SVD for Graph Representation Learning
Sami Abu-El-Haija · Hesham Mostafa · Marcel Nassar · Valentino Crespi · Greg Ver Steeg · Aram Galstyan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Attention Bottlenecks for Multimodal Fusion
Arsha Nagrani · Shan Yang · Anurag Arnab · Aren Jansen · Cordelia Schmid · Chen Sun
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks
Xinlin Li · Bang Liu · Yaoliang Yu · Wulong Liu · Chunjing XU · Vahid Partovi Nia
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Overcoming the Convex Barrier for Simplex Inputs
Harkirat Singh Behl · M. Pawan Kumar · Philip Torr · Krishnamurthy Dvijotham
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
An Exact Characterization of the Generalization Error for the Gibbs Algorithm
Gholamali Aminian · Yuheng Bu · Laura Toni · Miguel Rodrigues · Gregory Wornell
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability
Dibya Ghosh · Jad Rahme · Aviral Kumar · Amy Zhang · Ryan Adams · Sergey Levine
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities
Miklos Racz · Anirudh Sridhar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
InfoGCL: Information-Aware Graph Contrastive Learning
Dongkuan Xu · Wei Cheng · Dongsheng Luo · Haifeng Chen · Xiang Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Causal Lens for Controllable Text Generation
Zhiting Hu · Li Erran Li
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Sharp Impossibility Results for Hyper-graph Testing
Jiashun Jin · Zheng Tracy Ke · Jiajun Liang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance
Sudeep Salgia · Sattar Vakili · Qing Zhao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning-to-learn non-convex piecewise-Lipschitz functions
Maria-Florina Balcan · Mikhail Khodak · Dravyansh Sharma · Ameet Talwalkar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks
Hassan Dbouk · Naresh Shanbhag
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Hyperbolic Procrustes Analysis Using Riemannian Geometry
Ya-Wei Eileen Lin · Yuval Kluger · Ronen Talmon
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Multi-armed Bandit Requiring Monotone Arm Sequences
Ningyuan Chen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Design of Experiments for Stochastic Contextual Linear Bandits
Andrea Zanette · Kefan Dong · Jonathan N Lee · Emma Brunskill
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Do Wider Neural Networks Really Help Adversarial Robustness?
Boxi Wu · Jinghui Chen · Deng Cai · Xiaofei He · Quanquan Gu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Robustness between the worst and average case
Leslie Rice · Anna Bair · Huan Zhang · J. Zico Kolter
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fast Training of Neural Lumigraph Representations using Meta Learning
Alexander Bergman · Petr Kellnhofer · Gordon Wetzstein
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Equilibria in Matching Markets from Bandit Feedback
Meena Jagadeesan · Alexander Wei · Yixin Wang · Michael Jordan · Jacob Steinhardt
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose
Angtian Wang · Shenxiao Mei · Alan Yuille · Adam Kortylewski
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
PCA Initialization for Approximate Message Passing in Rotationally Invariant Models
Marco Mondelli · Ramji Venkataramanan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Indexed Minimum Empirical Divergence for Unimodal Bandits
Hassan SABER · Pierre Ménard · Odalric-Ambrym Maillard
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Graph Cellular Automata
Daniele Grattarola · Lorenzo Livi · Cesare Alippi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Discrete-Valued Neural Communication
Dianbo Liu · Alex Lamb · Kenji Kawaguchi · Anirudh Goyal ALIAS PARTH GOYAL · Chen Sun · Michael Mozer · Yoshua Bengio
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Consistent Non-Parametric Methods for Maximizing Robustness
Robi Bhattacharjee · Kamalika Chaudhuri
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Global Convergence of Gradient Descent for Asymmetric Low-Rank Matrix Factorization
Tian Ye · Simon Du
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Medical Dead-ends and Learning to Identify High-Risk States and Treatments
Mehdi Fatemi · Taylor Killian · Jayakumar Subramanian · Marzyeh Ghassemi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Grounding inductive biases in natural images: invariance stems from variations in data
Diane Bouchacourt · Mark Ibrahim · Ari Morcos
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Offline Model-based Adaptable Policy Learning
Xiong-Hui Chen · Yang Yu · Qingyang Li · Fan-Ming Luo · Zhiwei Qin · Wenjie Shang · Jieping Ye
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Towards Enabling Meta-Learning from Target Models
Su Lu · Han-Jia Ye · Le Gan · De-Chuan Zhan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls
Nick Doudchenko · Khashayar Khosravi · Jean Pouget-Abadie · Sébastien Lahaie · Miles Lubin · Vahab Mirrokni · Jann Spiess · guido imbens
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimal Algorithms for Stochastic Contextual Preference Bandits
Aadirupa Saha
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Teachable Reinforcement Learning via Advice Distillation
Olivia Watkins · Abhishek Gupta · Trevor Darrell · Pieter Abbeel · Jacob Andreas
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
The Many Faces of Adversarial Risk
Muni Sreenivas Pydi · Varun Jog
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Unique sparse decomposition of low rank matrices
Dian Jin · Xin Bing · Yuqian Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Arbitrary Conditional Distributions with Energy
Ryan Strauss · Junier Oliva
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Rebounding Bandits for Modeling Satiation Effects
Liu Leqi · Fatma Kilinc Karzan · Zachary Lipton · Alan Montgomery
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Efficient methods for Gaussian Markov random fields under sparse linear constraints
David Bolin · Jonas Wallin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling
Naoya Takeishi · Alexandros Kalousis
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions
Jiachen Sun · Yulong Cao · Christopher B Choy · Zhiding Yu · Anima Anandkumar · Zhuoqing Morley Mao · Chaowei Xiao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Revisiting the Calibration of Modern Neural Networks
Matthias Minderer · Josip Djolonga · Rob Romijnders · Frances Hubis · Xiaohua Zhai · Neil Houlsby · Dustin Tran · Mario Lucic
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning
Akshay Mehra · Bhavya Kailkhura · Pin-Yu Chen · Jihun Hamm
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations
Yu-Lin Tsai · Chia-Yi Hsu · Chia-Mu Yu · Pin-Yu Chen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels
Erik Englesson · Hossein Azizpour
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Compressed Video Contrastive Learning
Yuqi Huo · Mingyu Ding · Haoyu Lu · Nanyi Fei · Zhiwu Lu · Ji-Rong Wen · Ping Luo
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Differentiable rendering with perturbed optimizers
Quentin Le Lidec · Ivan Laptev · Cordelia Schmid · Justin Carpentier
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Tensor Normal Training for Deep Learning Models
Yi Ren · Donald Goldfarb
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Nested Graph Neural Networks
Muhan Zhang · Pan Li
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A universal probabilistic spike count model reveals ongoing modulation of neural variability
David Liu · Mate Lengyel
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Shape Registration in the Time of Transformers
Giovanni Trappolini · Luca Cosmo · Luca Moschella · Riccardo Marin · Simone Melzi · Emanuele Rodolà
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Towards Instance-Optimal Offline Reinforcement Learning with Pessimism
Ming Yin · Yu-Xiang Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimality of variational inference for stochasticblock model with missing links
Solenne Gaucher · Olga Klopp
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering
Youngjoong Kwon · Dahun Kim · Duygu Ceylan · Henry Fuchs
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Counterfactual Explanations Can Be Manipulated
Dylan Slack · Anna Hilgard · Himabindu Lakkaraju · Sameer Singh
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Nonparametric estimation of continuous DPPs with kernel methods
Michaël Fanuel · Rémi Bardenet
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Disentangled Behavior Embeddings
Changhao Shi · Sivan Schwartz · Shahar Levy · Shay Achvat · Maisan Abboud · Amir Ghanayim · Jackie Schiller · Gal Mishne
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dueling Bandits with Adversarial Sleeping
Aadirupa Saha · Pierre Gaillard
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Hybrid Regret Bounds for Combinatorial Semi-Bandits and Adversarial Linear Bandits
Shinji Ito
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Projected GANs Converge Faster
Axel Sauer · Kashyap Chitta · Jens Müller · Andreas Geiger
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Certifying Robustness to Programmable Data Bias in Decision Trees
Anna Meyer · Aws Albarghouthi · Loris D'Antoni
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers
Krishna Pillutla · Swabha Swayamdipta · Rowan Zellers · John Thickstun · Sean Welleck · Yejin Choi · Zaid Harchaoui
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Dynamics-regulated kinematic policy for egocentric pose estimation
Zhengyi Luo · Ryo Hachiuma · Ye Yuan · Kris Kitani
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization
Ondrej Bohdal · Yongxin Yang · Timothy Hospedales
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Introspective Distillation for Robust Question Answering
Yulei Niu · Hanwang Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Recurrent Submodular Welfare and Matroid Blocking Semi-Bandits
Orestis Papadigenopoulos · Constantine Caramanis
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators
Anish Agarwal · Abdullah Alomar · Varkey Alumootil · Devavrat Shah · Dennis Shen · Zhi Xu · Cindy Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Aligning Pretraining for Detection via Object-Level Contrastive Learning
Fangyun Wei · Yue Gao · Zhirong Wu · Han Hu · Stephen Lin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural optimal feedback control with local learning rules
Johannes Friedrich · Siavash Golkar · Shiva Farashahi · Alexander Genkin · Anirvan Sengupta · Dmitri Chklovskii
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Probabilistic Tensor Decomposition of Neural Population Spiking Activity
Hugo Soulat · Sepiedeh Keshavarzi · Troy Margrie · Maneesh Sahani
Affinity Workshop
Tue Dec 07 10:00 AM -- 03:00 PM (PST)
LatinX in AI (LXAI) Research @ NeurIPS 2021
Maria Luisa Santiago · Andres Munoz · Laura Montoya · Karla Caballero · Isabel Metzger · Jose Gallego-Posada · Juan M Banda Banda · Gabriela Vega · Amanda Duarte · Patrick Feeney · Lourdes Ramírez Cerna · Walter M Mayor · Omar U. Florez · Rosina Weber · Rocio Zorrilla
Competition
Tue Dec 07 10:00 AM -- 03:04 PM (PST)
Competition Track Day 1: Overviews + Breakout Sessions
Douwe Kiela · Marco Ciccone · Barbara Caputo
Affinity Workshop
Tue Dec 07 11:00 AM -- 02:33 PM (PST)
New in ML 2
Haozhe Sun · Wenzhuo Liu · Joe Pedersen
Invited Talk
Tue Dec 07 03:00 PM -- 04:30 PM (PST)
The Banality of Scale: A Theory on the Limits of Modeling Bias and Fairness Frameworks for Social Justice (and other lessons from the Pandemic)
Mary Gray
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Differentiable Simulation of Soft Multi-body Systems
Yiling Qiao · Junbang Liang · Vladlen Koltun · Ming Lin
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions
Lijun Zhang · Guanghui Wang · Wei-Wei Tu · Wei Jiang · Zhi-Hua Zhou
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Temporal-attentive Covariance Pooling Networks for Video Recognition
Zilin Gao · Qilong Wang · Bingbing Zhang · Qinghua Hu · Peihua Li
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Generalized Proximal Policy Optimization with Sample Reuse
James Queeney · Yannis Paschalidis · Christos G Cassandras
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Augmented Shortcuts for Vision Transformers
Yehui Tang · Kai Han · Chang Xu · An Xiao · Yiping Deng · Chao Xu · Yunhe Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Tianhe Yu · Aviral Kumar · Yevgen Chebotar · Karol Hausman · Sergey Levine · Chelsea Finn
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Robust Auction Design in the Auto-bidding World
Santiago Balseiro · Yuan Deng · Jieming Mao · Vahab Mirrokni · Song Zuo
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning
Jinxin Liu · Hao Shen · Donglin Wang · Yachen Kang · Qiangxing Tian
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Do Transformers Really Perform Badly for Graph Representation?
Chengxuan Ying · Tianle Cai · Shengjie Luo · Shuxin Zheng · Guolin Ke · Di He · Yanming Shen · Tie-Yan Liu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Machine versus Human Attention in Deep Reinforcement Learning Tasks
Suna (Sihang) Guo · Ruohan Zhang · Bo Liu · Yifeng Zhu · Dana Ballard · Mary Hayhoe · Peter Stone
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
MOMA: Multi-Object Multi-Actor Activity Parsing
Zelun Luo · Wanze Xie · Siddharth Kapoor · Yiyun Liang · Michael Cooper · Juan Carlos Niebles · Ehsan Adeli · Fei-Fei Li
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning
Hiroki Furuta · Tadashi Kozuno · Tatsuya Matsushima · Yutaka Matsuo · Shixiang (Shane) Gu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Regime Switching Bandits
Xiang Zhou · Yi Xiong · Ningyuan Chen · Xuefeng GAO
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Deep Residual Learning in Spiking Neural Networks
Wei Fang · Zhaofei Yu · Yanqi Chen · Tiejun Huang · Timothée Masquelier · Yonghong Tian
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
Qi Zhu · Carl Yang · Yidan Xu · Haonan Wang · Chao Zhang · Jiawei Han
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Exponential Graph is Provably Efficient for Decentralized Deep Training
Bicheng Ying · Kun Yuan · Yiming Chen · Hanbin Hu · PAN PAN · Wotao Yin
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Profiling Pareto Front With Multi-Objective Stein Variational Gradient Descent
Xingchao Liu · Xin Tong · Qiang Liu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Lossy Compression for Lossless Prediction
Yann Dubois · Benjamin Bloem-Reddy · Karen Ullrich · Chris Maddison
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate
Christian Kümmerle · Claudio Mayrink Verdun · Dominik Stöger
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning State Representations from Random Deep Action-conditional Predictions
Zeyu Zheng · Vivek Veeriah · Risto Vuorio · Richard L Lewis · Satinder Singh
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Automorphic Equivalence-aware Graph Neural Network
Fengli Xu · Quanming Yao · Pan Hui · Yong Li
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Direct Multi-view Multi-person 3D Pose Estimation
tao wang · Jianfeng Zhang · Yujun Cai · Shuicheng Yan · Jiashi Feng
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Unsupervised Foreground Extraction via Deep Region Competition
Peiyu Yu · Sirui Xie · Xiaojian Ma · Yixin Zhu · Ying Nian Wu · Song-Chun Zhu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks
Yuhang Li · Yufei Guo · Shanghang Zhang · Shikuang Deng · Yongqing Hai · Shi Gu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
A mechanistic multi-area recurrent network model of decision-making
Michael Kleinman · Chandramouli Chandrasekaran · Jonathan Kao
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Adaptive Denoising via GainTuning
Sreyas Mohan · Joshua L Vincent · Ramon Manzorro · Peter Crozier · Carlos Fernandez-Granda · Eero Simoncelli
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Differentiable Spline Approximations
Minsu Cho · Aditya Balu · Ameya Joshi · Anjana Deva Prasad · Biswajit Khara · Soumik Sarkar · Baskar Ganapathysubramanian · Adarsh Krishnamurthy · Chinmay Hegde
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Generalized DataWeighting via Class-Level Gradient Manipulation
Can Chen · Shuhao Zheng · Xi Chen · Erqun Dong · Xue (Steve) Liu · Hao Liu · Dejing Dou
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
On the Variance of the Fisher Information for Deep Learning
Alexander Soen · Ke Sun
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Low-Rank Constraints for Fast Inference in Structured Models
Justin Chiu · Yuntian Deng · Alexander Rush
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Improving Visual Quality of Image Synthesis by A Token-based Generator with Transformers
Yanhong Zeng · Huan Yang · Hongyang Chao · Jianbo Wang · Jianlong Fu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Parameter Prediction for Unseen Deep Architectures
Boris Knyazev · Michal Drozdzal · Graham Taylor · Adriana Romero Soriano
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
On the Value of Infinite Gradients in Variational Autoencoder Models
Bin Dai · Li Wenliang · David Wipf
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Towards a Theoretical Framework of Out-of-Distribution Generalization
Haotian Ye · Chuanlong Xie · Tianle Cai · Ruichen Li · Zhenguo Li · Liwei Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
MADE: Exploration via Maximizing Deviation from Explored Regions
Tianjun Zhang · Paria Rashidinejad · Jiantao Jiao · Yuandong Tian · Joseph Gonzalez · Stuart Russell
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Remember What You Want to Forget: Algorithms for Machine Unlearning
Ayush Sekhari · Jayadev Acharya · Gautam Kamath · Ananda Theertha Suresh
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM)
Jie Bu · Arka Daw · M. Maruf · Anuj Karpatne
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation
Yusuke Tashiro · Jiaming Song · Yang Song · Stefano Ermon
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
You Are the Best Reviewer of Your Own Papers: An Owner-Assisted Scoring Mechanism
Weijie Su
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Efficient Truncated Linear Regression with Unknown Noise Variance
Constantinos Daskalakis · Patroklos Stefanou · Rui Yao · Emmanouil Zampetakis
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Reinforcement Learning with Latent Flow
Wenling Shang · Xiaofei Wang · Aravind Srinivas · Aravind Rajeswaran · Yang Gao · Pieter Abbeel · Misha Laskin
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Residual Pathway Priors for Soft Equivariance Constraints
Marc Finzi · Gregory Benton · Andrew Wilson
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds
Yujia Huang · Huan Zhang · Yuanyuan Shi · J. Zico Kolter · Anima Anandkumar
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Meta-learning with an Adaptive Task Scheduler
Huaxiu Yao · Yu Wang · Ying Wei · Peilin Zhao · Mehrdad Mahdavi · Defu Lian · Chelsea Finn
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Information is Power: Intrinsic Control via Information Capture
Nicholas Rhinehart · Jenny Wang · Glen Berseth · John Co-Reyes · Danijar Hafner · Chelsea Finn · Sergey Levine
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory
Zeru Zhang · Jiayin Jin · Zijie Zhang · Yang Zhou · Xin Zhao · Jiaxiang Ren · Ji Liu · Lingfei Wu · Ruoming Jin · Dejing Dou
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Exploring Forensic Dental Identification with Deep Learning
Yuan Liang · Weikun Han · Liang Qiu · Chen Wu · Yiting Shao · Kun Wang · Lei He
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Subgroup Generalization and Fairness of Graph Neural Networks
Jiaqi Ma · Junwei Deng · Qiaozhu Mei
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Self-Supervised Learning with Kernel Dependence Maximization
Yazhe Li · Roman Pogodin · [deadname] Sutherland · Arthur Gretton
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Multi-Person 3D Motion Prediction with Multi-Range Transformers
Jiashun Wang · Huazhe Xu · Medhini Narasimhan · Xiaolong Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Unadversarial Examples: Designing Objects for Robust Vision
Hadi Salman · Andrew Ilyas · Logan Engstrom · Sai Vemprala · Aleksander Madry · Ashish Kapoor
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Diffusion Normalizing Flow
Qinsheng Zhang · Yongxin Chen
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Escaping Saddle Points with Compressed SGD
Dmitrii Avdiukhin · Grigory Yaroslavtsev
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality
Songyuan Zhang · ZHANGJIE CAO · Dorsa Sadigh · Yanan Sui
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Curriculum Learning for Vision-and-Language Navigation
Jiwen Zhang · zhongyu wei · Jianqing Fan · Jiajie Peng
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Unsupervised Object-Level Representation Learning from Scene Images
Jiahao Xie · Xiaohang Zhan · Ziwei Liu · Yew Soon Ong · Chen Change Loy
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Rethinking Neural Operations for Diverse Tasks
Nicholas Roberts · Mikhail Khodak · Tri Dao · Liam Li · Christopher Ré · Ameet Talwalkar
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Densely connected normalizing flows
Matej Grcić · Ivan Grubišić · Siniša Šegvić
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations
Jiayao Zhang · Hua Wang · Weijie Su
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Reverse engineering learned optimizers reveals known and novel mechanisms
Niru Maheswaranathan · David Sussillo · Luke Metz · Ruoxi Sun · Jascha Sohl-Dickstein
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
UniDoc: Unified Pretraining Framework for Document Understanding
Jiuxiang Gu · Jason Kuen · Vlad I Morariu · Handong Zhao · Rajiv Jain · Nikolaos Barmpalios · Ani Nenkova · Tong Sun
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting