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Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Independent Prototype Propagation for Zero-Shot Compositionality
Frank Ruis · Gertjan Burghouts · Doina Bucur
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Concentration inequalities under sub-Gaussian and sub-exponential conditions
Andreas Maurer · Massimiliano Pontil
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Memory-efficient Patch-based Inference for Tiny Deep Learning
Ji Lin · Wei-Ming Chen · Han Cai · Chuang Gan · Song Han
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Explainable Semantic Space by Grounding Language to Vision with Cross-Modal Contrastive Learning
Yizhen Zhang · Minkyu Choi · Kuan Han · Zhongming Liu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
Kaixiong Zhou · Xiao Huang · Daochen Zha · Rui Chen · Li Li · Soo-Hyun Choi · Xia Hu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Hash Layers For Large Sparse Models
Stephen Roller · Sainbayar Sukhbaatar · arthur d szlam · Jason Weston
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Local Explanation of Dialogue Response Generation
Yi-Lin Tuan · Connor Pryor · Wenhu Chen · Lise Getoor · William Yang Wang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Smooth Normalizing Flows
Jonas Köhler · Andreas Krämer · Frank Noe
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
EDGE: Explaining Deep Reinforcement Learning Policies
Wenbo Guo · Xian Wu · Usmann Khan · Xinyu (X.Y.) Xing
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Luna: Linear Unified Nested Attention
Max Ma · Xiang Kong · Sinong Wang · Chunting Zhou · Jonathan May · Hao Ma · Luke Zettlemoyer
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Why Do Better Loss Functions Lead to Less Transferable Features?
Simon Kornblith · Ting Chen · Honglak Lee · Mohammad Norouzi
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
Ran Liu · Mehdi Azabou · Max Dabagia · Chi-Heng Lin · Mohammad Gheshlaghi Azar · Keith Hengen · Michal Valko · Eva Dyer
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Convergence of adaptive algorithms for constrained weakly convex optimization
Ahmet Alacaoglu · Yura Malitsky · Volkan Cevher
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Infinite Time Horizon Safety of Bayesian Neural Networks
Mathias Lechner · Đorđe Žikelić · Krishnendu Chatterjee · Thomas Henzinger
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Square Root Principal Component Pursuit: Tuning-Free Noisy Robust Matrix Recovery
Junhui Zhang · Jingkai Yan · John Wright
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Clustering Effect of Adversarial Robust Models
Yang Bai · Xin Yan · Yong Jiang · Shu-Tao Xia · Yisen Wang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
End-to-end reconstruction meets data-driven regularization for inverse problems
Subhadip Mukherjee · Marcello Carioni · Ozan Öktem · Carola Schoenlieb
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Robust and Reliable Algorithmic Recourse
Sohini Upadhyay · Shalmali Joshi · Himabindu Lakkaraju
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Predicting Deep Neural Network Generalization with Perturbation Response Curves
Yair Schiff · Brian Quanz · Payel Das · Pin-Yu Chen
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
SOPE: Spectrum of Off-Policy Estimators
Christina Yuan · Yash Chandak · Stephen Giguere · Philip S. Thomas · Scott Niekum
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data
Dongmin Park · Hwanjun Song · Minseok Kim · Jae-Gil Lee
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Reward is enough for convex MDPs
Tom Zahavy · Brendan O'Donoghue · Guillaume Desjardins · Satinder Singh
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Edge Representation Learning with Hypergraphs
Jaehyeong Jo · Jinheon Baek · Seul Lee · Dongki Kim · Minki Kang · Sung Ju Hwang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation
Soojung Yang · Doyeong Hwang · Seul Lee · Seongok Ryu · Sung Ju Hwang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning
Ali Taghibakhshi · Scott MacLachlan · Luke Olson · Matthew West
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Practical Near Neighbor Search via Group Testing
Joshua Engels · Benjamin Coleman · ANSHUMALI Shrivastava
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Three-dimensional spike localization and improved motion correction for Neuropixels recordings
Julien Boussard · Erdem Varol · Hyun Dong Lee · Nishchal Dethe · Liam Paninski
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Sparse Flows: Pruning Continuous-depth Models
Lucas Liebenwein · Ramin Hasani · Alexander Amini · Daniela Rus
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs
Ayush Sekhari · Karthik Sridharan · Satyen Kale
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Relative Flatness and Generalization
Henning Petzka · Michael Kamp · Linara Adilova · Cristian Sminchisescu · Mario Boley
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions
Luigi Carratino · Stefano Vigogna · Daniele Calandriello · Lorenzo Rosasco
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support
Pierre Glaser · Michael Arbel · Arthur Gretton
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning Knowledge Graph-based World Models of Textual Environments
Prithviraj Ammanabrolu · Mark Riedl
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces
Kirill Struminsky · Artyom Gadetsky · Denis Rakitin · Danil Karpushkin · Dmitry Vetrov
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification
Alkis Gotovos · Rebekka Burkholz · John Quackenbush Quackenbush · Stefanie Jegelka
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking
Peisong Wen · Qianqian Xu · Zhiyong Yang · Yuan He · Qingming Huang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Improving Transferability of Representations via Augmentation-Aware Self-Supervision
Hankook Lee · Kibok Lee · Kimin Lee · Honglak Lee · Jinwoo Shin
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Explicable Reward Design for Reinforcement Learning Agents
Rati Devidze · Goran Radanovic · Parameswaran Kamalaruban · Adish Singla
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Risk-averse Heteroscedastic Bayesian Optimization
Anastasia Makarova · Ilnura Usmanova · Ilija Bogunovic · Andreas Krause
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Multi-Facet Clustering Variational Autoencoders
Fabian Falck · Haoting Zhang · Matthew Willetts · George Nicholson · Christopher Yau · Chris C Holmes
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
HNPE: Leveraging Global Parameters for Neural Posterior Estimation
Pedro Rodrigues · Thomas Moreau · Gilles Louppe · Alex Gramfort
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives
Murtaza Dalal · Deepak Pathak · Russ Salakhutdinov
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Local Signal Adaptivity: Provable Feature Learning in Neural Networks Beyond Kernels
Stefani None Karp · Ezra Winston · Yuanzhi Li · Aarti Singh
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Better Algorithms for Individually Fair $k$-Clustering
Maryam Negahbani · Deeparnab Chakrabarty
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Adversarial Training Helps Transfer Learning via Better Representations
Zhun Deng · Linjun Zhang · Kailas Vodrahalli · Kenji Kawaguchi · James Zou
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Detecting Anomalous Event Sequences with Temporal Point Processes
Oleksandr Shchur · Caner Turkmen · Tim Januschowski · Jan Gasthaus · Stephan Günnemann
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Bellman-consistent Pessimism for Offline Reinforcement Learning
Tengyang Xie · Ching-An Cheng · Nan Jiang · Paul Mineiro · Alekh Agarwal
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs
harsh satija · Philip S. Thomas · Joelle Pineau · Romain Laroche
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Estimating the Unique Information of Continuous Variables
Ari Pakman · Amin Nejatbakhsh · Dar Gilboa · Abdullah Makkeh · Luca Mazzucato · Michael Wibral · Elad Schneidman
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning
Weishi Shi · Dayou Yu · Qi Yu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On Plasticity, Invariance, and Mutually Frozen Weights in Sequential Task Learning
Julian Zilly · Alessandro Achille · Andrea Censi · Emilio Frazzoli
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering
Debolina Paul · Saptarshi Chakraborty · Swagatam Das · Jason Xu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Explaining Latent Representations with a Corpus of Examples
Jonathan Crabbe · Zhaozhi Qian · Fergus Imrie · Mihaela van der Schaar
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age
Dani Kiyasseh · Tingting Zhu · David Clifton
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction
Dominik Stöger · Mahdi Soltanolkotabi
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds
Le Hui · Lingpeng Wang · Mingmei Cheng · Jin Xie · Jian Yang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs
Thomas Scialom · Paul-Alexis Dray · Jacopo Staiano · Sylvain Lamprier · Benjamin Piwowarski
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Self-Supervised Bug Detection and Repair
Miltiadis Allamanis · Henry Jackson-Flux · Marc Brockschmidt
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Parallel and Efficient Hierarchical k-Median Clustering
Vincent Cohen-Addad · Silvio Lattanzi · Ashkan Norouzi-Fard · Christian Sohler · Ola Svensson
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Algorithmic Instabilities of Accelerated Gradient Descent
Amit Attia · Tomer Koren
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
Guocheng Qian · Hasan Hammoud · Guohao Li · Ali Thabet · Bernard Ghanem
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Regularization in ResNet with Stochastic Depth
Soufiane Hayou · Fadhel Ayed
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Consistency Regularization for Variational Auto-Encoders
Samarth Sinha · Adji Dieng
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On Locality of Local Explanation Models
Sahra Ghalebikesabi · Lucile Ter-Minassian · Karla DiazOrdaz · Chris C Holmes
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Constrained Two-step Look-Ahead Bayesian Optimization
Yunxiang Zhang · Xiangyu Zhang · Peter Frazier
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution
Amrith Setlur · Oscar Li · Virginia Smith
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers
Kazuki Irie · Imanol Schlag · Róbert Csordás · Jürgen Schmidhuber
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Contrastive Learning for Neural Topic Model
Thong Nguyen · Anh Tuan Luu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Solving Graph-based Public Goods Games with Tree Search and Imitation Learning
Victor-Alexandru Darvariu · Stephen Hailes · Mirco Musolesi
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Sharper Generalization Bounds for Structured Prediction
Shaojie Li · Yong Liu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Active clustering for labeling training data
Quentin Lutz · Elie De Panafieu · Maya Stein · Alex Scott
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Can contrastive learning avoid shortcut solutions?
Joshua Robinson · Li Sun · Ke Yu · Kayhan Batmanghelich · Stefanie Jegelka · Suvrit Sra
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Directed Graph Contrastive Learning
Zekun Tong · Yuxuan Liang · Henghui Ding · Yongxing Dai · Xinke Li · Changhu Wang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Generic Neural Architecture Search via Regression
Yuhong Li · Cong Hao · Pan Li · Jinjun Xiong · Deming Chen
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Adversarial Feature Desensitization
Pouya Bashivan · Reza Bayat · Adam Ibrahim · Kartik Ahuja · Mojtaba Faramarzi · Touraj Laleh · Blake Richards · Irina Rish
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Noise2Score: Tweedie’s Approach to Self-Supervised Image Denoising without Clean Images
Kwanyoung Kim · Jong Chul Ye
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Support Recovery of Sparse Signals from a Mixture of Linear Measurements
Soumyabrata Pal · Arya Mazumdar · Venkata Gandikota
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Rethinking the Pruning Criteria for Convolutional Neural Network
Zhongzhan Huang · Wenqi Shao · Xinjiang Wang · Liang Lin · Ping Luo
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Expressivity of Markov Reward
Dave Abel · Will Dabney · Anna Harutyunyan · Mark Ho · Michael Littman · Doina Precup · Satinder Singh
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning
Christoph Dann · Teodor Vanislavov Marinov · Mehryar Mohri · Julian Zimmert
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Catch-A-Waveform: Learning to Generate Audio from a Single Short Example
Gal Greshler · Tamar Shaham · Tomer Michaeli
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Last iterate convergence of SGD for Least-Squares in the Interpolation regime.
Aditya Varre · Loucas Pillaud-Vivien · Nicolas Flammarion
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices
Max Ryabinin · Eduard Gorbunov · Vsevolod Plokhotnyuk · Gennady Pekhimenko
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Joint Semantic Mining for Weakly Supervised RGB-D Salient Object Detection
Jingjing Li · Wei Ji · Qi Bi · Cheng Yan · Miao Zhang · Yongri Piao · Huchuan Lu · Li cheng
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Foundations of Symbolic Languages for Model Interpretability
Marcelo Arenas · Daniel Báez · Pablo Barceló · Jorge Pérez · Bernardo Subercaseaux
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL
Charles Packer · Pieter Abbeel · Joseph Gonzalez
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Learning Graph Models for Retrosynthesis Prediction
Vignesh Ram Somnath · Charlotte Bunne · Connor Coley · Andreas Krause · Regina Barzilay
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Normative and Biologically Plausible Algorithm for Independent Component Analysis
Yanis Bahroun · Dmitri Chklovskii · Anirvan Sengupta
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers
Fabian Latorre · Leello Dadi · Paul Rolland · Volkan Cevher
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Turing Completeness of Bounded-Precision Recurrent Neural Networks
Stephen Chung · Hava Siegelmann
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Contrastive Active Inference
Pietro Mazzaglia · Tim Verbelen · Bart Dhoedt
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs
Changwoo Lee · Zhao Tang Luo · Huiyan Sang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Shapley Residuals: Quantifying the limits of the Shapley value for explanations
I. Elizabeth Kumar · Carlos Scheidegger · Suresh Venkatasubramanian · Sorelle Friedler
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering
Devendra Singh · Siva Reddy · Will Hamilton · Chris Dyer · Dani Yogatama
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Structured Denoising Diffusion Models in Discrete State-Spaces
Jacob Austin · Daniel D. Johnson · Jonathan Ho · Daniel Tarlow · Rianne van den Berg
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Federated Linear Contextual Bandits
Ruiquan Huang · Weiqiang Wu · Jing Yang · Cong Shen
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Deeper Deep Reinforcement Learning with Spectral Normalization
Nils Bjorck · Carla Gomes · Kilian Weinberger
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization
Ke Sun · Yafei Wang · Yi Liu · yingnan zhao · Bo Pan · Shangling Jui · Bei Jiang · Linglong Kong
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Emergent Communication of Generalizations
Jesse Mu · Noah Goodman
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Faster Maximum Cardinality Matching Algorithm with Applications in Machine Learning
Nathaniel Lahn · Sharath Raghvendra · Jiacheng Ye
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Coresets for Clustering with Missing Values
Vladimir braverman · Shaofeng Jiang · Robi Krauthgamer · Xuan Wu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Accelerating Quadratic Optimization with Reinforcement Learning
Jeffrey Ichnowski · Paras Jain · Bartolomeo Stellato · Goran Banjac · Michael None Luo · Francesco Borrelli · Joseph Gonzalez · Ion Stoica · Ken Goldberg
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Entropic Desired Dynamics for Intrinsic Control
Steven Hansen · Guillaume Desjardins · Kate Baumli · David Warde-Farley · Nicolas Heess · Simon Osindero · Volodymyr Mnih
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Bridging the Imitation Gap by Adaptive Insubordination
Luca Weihs · Unnat Jain · Adam Liu · Jordi Salvador · Svetlana Lazebnik · Ani Kembhavi · Alex Schwing
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On Blame Attribution for Accountable Multi-Agent Sequential Decision Making
Stelios Triantafyllou · Adish Singla · Goran Radanovic
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification
Shiqi Wang · Huan Zhang · Kaidi Xu · Xue Lin · Suman Jana · Cho-Jui Hsieh · J. Zico Kolter
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
To The Point: Correspondence-driven monocular 3D category reconstruction
Filippos Kokkinos · Iasonas Kokkinos
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Early-stopped neural networks are consistent
Ziwei Ji · Justin Li · Matus Telgarsky
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis
Tianchang None Shen · Jun Gao · Kangxue Yin · Ming-Yu Liu · Sanja Fidler
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Fuzzy Clustering with Similarity Queries
Wasim Huleihel · Arya Mazumdar · Soumyabrata Pal
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck
Nicolas Skatchkovsky · Osvaldo Simeone · Hyeryung Jang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Robust Implicit Networks via Non-Euclidean Contractions
Saber Jafarpour · Alexander Davydov · Anton Proskurnikov · Francesco Bullo
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Efficient Online Estimation of Causal Effects by Deciding What to Observe
Shantanu Gupta · Zachary Lipton · David Childers
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
An Uncertainty Principle is a Price of Privacy-Preserving Microdata
John Abowd · Robert Ashmead · Ryan Cumings-Menon · Simson Garfinkel · Daniel Kifer · Philip Leclerc · William Sexton · Ashley Simpson · Christine Task · Pavel Zhuravlev
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Reinforcement Learning with State Observation Costs in Action-Contingent Noiselessly Observable Markov Decision Processes
HyunJi Alex Nam · Scotty Fleming Fleming · Emma Brunskill
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Label consistency in overfitted generalized $k$-means
Linfan Zhang · Arash Amini
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
ResT: An Efficient Transformer for Visual Recognition
wofmanaf Zhang · Yu-Bin Yang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning
Yujin Tang · David Ha
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
SNIPS: Solving Noisy Inverse Problems Stochastically
Bahjat Kawar · Gregory Vaksman · Michael Elad
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Analytic Study of Families of Spurious Minima in Two-Layer ReLU Neural Networks: A Tale of Symmetry II
Yossi Arjevani · Michael Field
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Risk Monotonicity in Statistical Learning
Zakaria Mhammedi
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games
Xiangyu Liu · Hangtian Jia · Ying Wen · Yaodong Yang · Yujing Hu · Yingfeng Chen · Changjie Fan · ZHIPENG HU
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
TransformerFusion: Monocular RGB Scene Reconstruction using Transformers
Aljaz Bozic · Pablo Palafox · Justus Thies · Angela Dai · Matthias Niessner
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On Linear Stability of SGD and Input-Smoothness of Neural Networks
Chao Ma · Lexing Ying
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Invariant Causal Imitation Learning for Generalizable Policies
Ioana Bica · Dan Jarrett · Mihaela van der Schaar
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Adaptive Proximal Gradient Methods for Structured Neural Networks
Jihun Yun · Aurelie Lozano · Eunho Yang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows
Brendan Ross · Jesse Cresswell
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision
Irina Higgins · Peter Wirnsberger · Drew Jaegle · Alex Botev
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Generating High-Quality Explanations for Navigation in Partially-Revealed Environments
Gregory Stein
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Dynamic Causal Bayesian Optimization
Virginia Aglietti · Neil Dhir · Javier González · Theodoros Damoulas
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
Emiel Hoogeboom · Didrik Nielsen · Priyank Jaini · Patrick Forré · Max Welling
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Intriguing Properties of Vision Transformers
Muhammad Muzammal Naseer · Kanchana Ranasinghe · Salman H Khan · Munawar Hayat · Fahad Shahbaz Khan · Ming-Hsuan Yang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning to Compose Visual Relations
Nan Liu · Shuang Li · Yilun Du · Josh Tenenbaum · Antonio Torralba
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Contrastive Learning of Global and Local Video Representations
Shuang Ma · Zhaoyang Zeng · Daniel McDuff · Yale Song
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Theoretical Analysis of Fine-tuning with Linear Teachers
Gal Shachaf · Alon Brutzkus · Amir Globerson
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On Training Implicit Models
Zhengyang Geng · Xin-Yu Zhang · Shaojie Bai · Yisen Wang · Zhouchen Lin
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Implicit Bias of SGD for Diagonal Linear Networks: a Provable Benefit of Stochasticity
Scott Pesme · Loucas Pillaud-Vivien · Nicolas Flammarion
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Adversarial Intrinsic Motivation for Reinforcement Learning
Ishan Durugkar · Mauricio Tec · Scott Niekum · Peter Stone
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Progressive Feature Interaction Search for Deep Sparse Network
Chen Gao · Yinfeng Li · Quanming Yao · Depeng Jin · Yong Li
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Dynamic Analysis of Higher-Order Coordination in Neuronal Assemblies via De-Sparsified Orthogonal Matching Pursuit
Shoutik Mukherjee · Behtash Babadi
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Improving Contrastive Learning on Imbalanced Data via Open-World Sampling
Ziyu Jiang · Tianlong Chen · Ting Chen · Zhangyang Wang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Comprehensively Tight Analysis of Gradient Descent for PCA
Zhiqiang Xu · Ping Li
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
CCVS: Context-aware Controllable Video Synthesis
Guillaume Le Moing · Jean Ponce · Cordelia Schmid
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Limits of Optimal Pricing in the Dark
Quinlan E Dawkins · Minbiao Han · Haifeng Xu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Exploring the Limits of Out-of-Distribution Detection
Stanislav Fort · Jie Ren · Balaji Lakshminarayanan
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Value of Information When Deciding What to Learn
Dilip Arumugam · Benjamin Van Roy
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Minimax Regret for Stochastic Shortest Path
Alon Cohen · Yonathan Efroni · Yishay Mansour · Aviv Rosenberg
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Memory-Efficient Approximation Algorithms for Max-k-Cut and Correlation Clustering
Nimita Shinde · Vishnu Narayanan · James Saunderson
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks
Maciej Wołczyk · Bartosz Wójcik · Klaudia Bałazy · Igor T Podolak · Jacek Tabor · Marek Śmieja · Tomasz Trzcinski
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
M-FAC: Efficient Matrix-Free Approximations of Second-Order Information
Elias Frantar · Eldar Kurtic · Dan Alistarh
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Neural Scene Flow Prior
Xueqian Li · Jhony Kaesemodel Pontes · Simon Lucey
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
How Fine-Tuning Allows for Effective Meta-Learning
Kurtland Chua · Qi Lei · Jason Lee
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Cross-view Geo-localization with Layer-to-Layer Transformer
Hongji Yang · Xiufan Lu · Yingying Zhu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Distributionally Robust Imitation Learning
Mohammad Ali Bashiri · Brian Ziebart · Xinhua Zhang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Directional Message Passing on Molecular Graphs via Synthetic Coordinates
Johannes Klicpera · Chandan Yeshwanth · Stephan Günnemann
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks
Melih Barsbey · Milad Sefidgaran · Murat Erdogdu · Gaël Richard · Umut Simsekli
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Active Learning of Convex Halfspaces on Graphs
Maximilian Thiessen · Thomas Gaertner
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Large-Scale Unsupervised Object Discovery
Huy V. Vo · Elena Sizikova · Cordelia Schmid · Patrick Pérez · Jean Ponce
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Learning to Draw: Emergent Communication through Sketching
Daniela Mihai · Jonathon Hare
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
An Information-theoretic Approach to Distribution Shifts
Marco Federici · Ryota Tomioka · Patrick Forré
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Conditional Generation Using Polynomial Expansions
Grigorios Chrysos · Markos Georgopoulos · Yannis Panagakis
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information
Yang Zhang · Ashkan Khakzar · Yawei Li · Azade Farshad · Seong Tae Kim · Nassir Navab
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
You Never Cluster Alone
Yuming Shen · Ziyi Shen · Menghan Wang · Jie Qin · Philip Torr · Ling Shao
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Distributed Deep Learning In Open Collaborations
Michael Diskin · Alexey Bukhtiyarov · Max Ryabinin · Lucile Saulnier · quentin lhoest · Anton Sinitsin · Dmitry Popov · Randan V. Pyrkin · Maxim Kashirin · Alexander Borzunov · Albert Villanova del Moral · Denis Mazur · Ilia Kobelev · Yacine Jernite · Thomas Wolf · Gennady Pekhimenko
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Sequential Algorithms for Testing Closeness of Distributions
Aadil Oufkir · Omar Fawzi · Nicolas Flammarion · Aurélien Garivier
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Strategic Behavior is Bliss: Iterative Voting Improves Social Welfare
Joshua Kavner · Lirong Xia
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras
Zachary Teed · Jia Deng
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs
Michael Boratko · Dongxu Zhang · Nicholas Monath · Luke Vilnis · Kenneth L Clarkson · Andrew McCallum
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Sparse Uncertainty Representation in Deep Learning with Inducing Weights
Hippolyt Ritter · Martin Kukla · Cheng Zhang · Yingzhen Li
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Encoding Spatial Distribution of Convolutional Features for Texture Representation
Yong Xu · Feng Li · Zhile Chen · Jinxiu Liang · Yuhui Quan
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks
Avi Schwarzschild · Eitan Borgnia · Arjun Gupta · Furong Huang · Uzi Vishkin · Micah Goldblum · Tom Goldstein
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
Jason Altschuler · Sinho Chewi · Patrik R Gerber · Austin Stromme
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning latent causal graphs via mixture oracles
Bohdan Kivva · Goutham Rajendran · Pradeep Ravikumar · Bryon Aragam
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
Bahare Fatemi · Layla El Asri · Seyed Mehran Kazemi
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Robust Contrastive Learning Using Negative Samples with Diminished Semantics
Songwei Ge · Shlok Mishra · Chun-Liang Li · Haohan Wang · David Jacobs
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Robust Online Correlation Clustering
Silvio Lattanzi · Benjamin Moseley · Sergei Vassilvitskii · Yuyan Wang · Rudy None Zhou
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning
Christoph Dann · Mehryar Mohri · Tong Zhang · Julian Zimmert
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Power of Differentiable Learning versus PAC and SQ Learning
Emmanuel Abbe · Pritish Kamath · Eran Malach · Colin Sandon · Nathan Srebro
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs)
Zhiyuan Li · Sadhika Malladi · Sanjeev Arora
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
ErrorCompensatedX: error compensation for variance reduced algorithms
Hanlin Tang · Yao Li · Prof. Ji Liu Liu · Ming Yan
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Sparse is Enough in Scaling Transformers
Sebastian Jaszczur · Aakanksha Chowdhery · Afroz Mohiuddin · Łukasz Kaiser · Wojciech Gajewski · Henryk Michalewski · Jonni Kanerva
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
No RL, No Simulation: Learning to Navigate without Navigating
Meera Hahn · Devendra Singh Chaplot · Shubham Tulsiani · Mustafa Mukadam · James M Rehg · Abhinav Gupta
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning
Hussein Hazimeh · Zhe Zhao · Aakanksha Chowdhery · Mahesh Sathiamoorthy · Yihua Chen · Rahul Mazumder · Lichan Hong · Ed Chi
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Online Active Learning with Surrogate Loss Functions
Giulia DeSalvo · Claudio Gentile · Tobias Sommer Thune
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Intriguing Properties of Contrastive Losses
Ting Chen · Calvin Luo · Lala Li
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations
Peter Hase · Harry Xie · Mohit Bansal
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Influence Patterns for Explaining Information Flow in BERT
Kaiji None Lu · Zifan Wang · Peter Mardziel · Anupam Datta
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Communication-efficient SGD: From Local SGD to One-Shot Averaging
Artin Spiridonoff · Alex Olshevsky · Yannis Paschalidis
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Tracking Without Re-recognition in Humans and Machines
Drew Linsley · Girik Malik · Junkyung Kim · Lakshmi Narasimhan Govindarajan · Ennio Mingolla · Thomas Serre
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
$\alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression
JIABO HE · Sarah Erfani · Xingjun Ma · James None Bailey · Ying Chi · Xian-Sheng Hua
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Neural Flows: Efficient Alternative to Neural ODEs
Marin Biloš · Johanna Sommer · Syama Sundar Rangapuram · Tim Januschowski · Stephan Günnemann
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings
Lili Chen · Kimin Lee · Aravind Srinivas · Pieter Abbeel
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
NTopo: Mesh-free Topology Optimization using Implicit Neural Representations
Jonas Zehnder · Yue Li · Stelian Coros · Bernhard Thomaszewski
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference
Antonio Vergari · YooJung Choi · Anji Liu · Stefano Teso · Guy Van den Broeck
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Parametric Complexity Bounds for Approximating PDEs with Neural Networks
Tanya Marwah · Zachary Lipton · Andrej Risteski
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
When Are Solutions Connected in Deep Networks?
Quynh Nguyen · Pierre Bréchet · Marco Mondelli
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Localization, Convexity, and Star Aggregation
Suhas Vijaykumar
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
RMM: Reinforced Memory Management for Class-Incremental Learning
Yaoyao Liu · Bernt Schiele · Qianru Sun
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Improved Regularization and Robustness for Fine-tuning in Neural Networks
Dongyue Li · Hongyang Zhang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Space-time Mixing Attention for Video Transformer
Adrian Bulat · Juanma Perez Rua · Swathikiran Sudhakaran · Brais Martinez · Georgios Tzimiropoulos
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Nearly-Tight and Oblivious Algorithms for Explainable Clustering
Buddhima Gamlath · Xinrui Jia · Adam None Polak · Ola Svensson
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Lower Bounds on the Depth of ReLU Neural Networks
Christoph Hertrich · Amitabh Basu · Marco Di Summa · Martin Skutella
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Learning Fast-Inference Bayesian Networks
Vaidyanathan Peruvemba Ramaswamy · Stefan None Szeider
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Hierarchical Skills for Efficient Exploration
Jonas Gehring · Gabriel Synnaeve · Andreas Krause · Nicolas Usunier
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning to Ground Multi-Agent Communication with Autoencoders
Toru Lin · Jacob MY Huh · Christopher Stauffer · Ser Nam Lim · Phillip Isola
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation
Bingchen Zhao · Kai Han
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Smoothness Matrices Beat Smoothness Constants: Better Communication Compression Techniques for Distributed Optimization
Mher Safaryan · Filip Hanzely · Peter Richtarik
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Visual Adversarial Imitation Learning using Variational Models
Rafael Rafailov · Tianhe Yu · Aravind Rajeswaran · Chelsea Finn
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Scalable Neural Data Server: A Data Recommender for Transfer Learning
Tianshi Cao · Sasha (Alexandre) Doubov · David Acuna · Sanja Fidler
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
How Well do Feature Visualizations Support Causal Understanding of CNN Activations?
Roland S. Zimmermann · Judy Borowski · Robert Geirhos · Matthias Bethge · Thomas Wallis · Wieland Brendel
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Does enforcing fairness mitigate biases caused by subpopulation shift?
Subha Maity · Debarghya Mukherjee · Mikhail Yurochkin · Yuekai Sun
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Batch Active Learning at Scale
Gui Citovsky · Giulia DeSalvo · Claudio Gentile · Lazaros Karydas · Anand Rajagopalan · Afshin Rostamizadeh · Sanjiv Kumar
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Antipodes of Label Differential Privacy: PATE and ALIBI
Mani Malek Esmaeili · Ilya Mironov · Karthik Prasad · Igor Shilov · Florian Tramer
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Speedy Performance Estimation for Neural Architecture Search
Robin Ru · Clare Lyle · Lisa Schut · Miroslav Fil · Mark van der Wilk · Yarin Gal
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Interactive Label Cleaning with Example-based Explanations
Stefano Teso · Andrea Bontempelli · Fausto Giunchiglia · Andrea Passerini
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Explanation-based Data Augmentation for Image Classification
sandareka Wickramanayake · Wynne Hsu · Mong Li Lee
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Laplace Redux - Effortless Bayesian Deep Learning
Erik Daxberger · Agustinus Kristiadi · Alex Immer · Runa Eschenhagen · Matthias Bauer · Philipp Hennig
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures
Zhaozhuo Xu · Zhao Song · ANSHUMALI Shrivastava
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers
Mandela Patrick · Dylan Campbell · Yuki Asano · Ishan Misra · Florian Metze · Christoph Feichtenhofer · Andrea Vedaldi · João Henriques
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Making a (Counterfactual) Difference One Rationale at a Time
Mitchell Plyler · Michael Green · Min Chi
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
GemNet: Universal Directional Graph Neural Networks for Molecules
Johannes Klicpera · Florian Becker · Stephan Günnemann
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios
Suraj Kothawade · Nathan Beck · Krishnateja Killamsetty · Rishabh Iyer
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Online Facility Location with Multiple Advice
Matteo Almanza · Flavio Chierichetti · Silvio Lattanzi · Alessandro Panconesi · Giuseppe Re
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Scatterbrain: Unifying Sparse and Low-rank Attention
Beidi Chen · Tri Dao · Eric Winsor · Zhao Song · Atri Rudra · Christopher Ré
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Private Non-smooth ERM and SCO in Subquadratic Steps
Janardhan Kulkarni · Yin Tat Lee · Daogao Liu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
Shiwei Liu · Tianlong Chen · Xiaohan Chen · Zahra Atashgahi · Lu Yin · Huanyu Kou · Li Shen · Mykola Pechenizkiy · Zhangyang Wang · Decebal Constantin Mocanu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition
Lucas Liebenwein · Alaa Maalouf · Dan Feldman · Daniela Rus
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Hierarchical Clustering: $O(1)$-Approximation for Well-Clustered Graphs
Bogdan Manghiuc · He Sun
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Implicit Regularization in Matrix Sensing via Mirror Descent
Fan Wu · Patrick Rebeschini
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Curriculum Design for Teaching via Demonstrations: Theory and Applications
Gaurav Yengera · Rati Devidze · Parameswaran Kamalaruban · Adish Singla
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Improved Coresets and Sublinear Algorithms for Power Means in Euclidean Spaces
Vincent Cohen-Addad · David Saulpic · Chris Schwiegelshohn
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning with Labeling Induced Abstentions
Kareem Amin · Giulia DeSalvo · Afshin Rostamizadeh
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Per-Pixel Classification is Not All You Need for Semantic Segmentation
Bowen Cheng · Alex Schwing · Alexander Kirillov
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Designing Counterfactual Generators using Deep Model Inversion
Jayaraman Thiagarajan · Vivek Sivaraman Narayanaswamy · Deepta Rajan · Jia Liang · Akshay Chaudhari · Andreas Spanias
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Invertible DenseNets with Concatenated LipSwish
Yura Perugachi-Diaz · Jakub M. Tomczak · Sandjai Bhulai
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
COHESIV: Contrastive Object and Hand Embedding Segmentation In Video
Dandan Shan · Richard Higgins · David Fouhey
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Frequency Bias of Generative Models
Katja Schwarz · Yiyi Liao · Andreas Geiger
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Utility of Explainable AI in Ad Hoc Human-Machine Teaming
Rohan Paleja · Muyleng Ghuy · Nadun Ranawaka Arachchige · Reed Jensen · Matthew Gombolay
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Power of Edge Independent Graph Models
Sudhanshu Chanpuriya · Cameron Musco · Konstantinos Sotiropoulos · Charalampos Tsourakakis
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Algorithmic stability and generalization of an unsupervised feature selection algorithm
xinxing wu · Shawn Cheng
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Efficient Generalization with Distributionally Robust Learning
Soumyadip Ghosh · Mark Squillante · Ebisa Wollega
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach
Ahmed Abbas · Paul Swoboda
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Robustness of Graph Neural Networks at Scale
Simon Geisler · Tobias Schmidt · Hakan Şirin · Daniel Zügner · Aleksandar Bojchevski · Stephan Günnemann
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
How Powerful are Performance Predictors in Neural Architecture Search?
Colin White · Arber Zela · Robin Ru · Yang Liu · Frank Hutter
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Topological Relational Learning on Graphs
Yuzhou Chen · Baris Coskunuzer · Yulia Gel
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Think Big, Teach Small: Do Language Models Distil Occam’s Razor?
Gonzalo Jaimovitch-Lopez · David Castellano Falcón · Cesar Ferri · José Hernández-Orallo
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
LSH-SMILE: Locality Sensitive Hashing Accelerated Simulation and Learning
Chonghao Sima · Yexiang Xue
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Shift Invariance Can Reduce Adversarial Robustness
Vasu Singla · Songwei Ge · Basri Ronen · David Jacobs
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
DNN-based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel
Benjamin Dupuis · Arthur Jacot
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
High Probability Complexity Bounds for Line Search Based on Stochastic Oracles
Billy Jin · Katya Scheinberg · Miaolan Xie
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning
Siyuan Zhang · Nan Jiang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Dual Parameterization of Sparse Variational Gaussian Processes
Vincent ADAM · Paul Chang · Emtiyaz Khan · Arno Solin
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Reinforcement Learning in Newcomblike Environments
James Bell · Linda Linsefors · Caspar None Oesterheld · Joar Skalse
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Is Automated Topic Model Evaluation Broken? The Incoherence of Coherence
Alexander Hoyle · Pranav Goel · Andrew Hian-Cheong · Denis Peskov · Jordan Boyd-Graber · Philip Resnik
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions
Isha Puri · Amit Dhurandhar · Tejaswini Pedapati · Karthikeyan Shanmugam · Dennis Wei · Kush Varshney
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Exponential Separation between Two Learning Models and Adversarial Robustness
Grzegorz Gluch · Ruediger Urbanke
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Multi-view Contrastive Graph Clustering
ErLin Pan · Zhao Kang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Universal Rate-Distortion-Perception Representations for Lossy Compression
George Zhang · Jingjing Qian · Jun Chen · Ashish Khisti
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Existence of The Adversarial Bayes Classifier
Pranjal Awasthi · Natalie Frank · Mehryar Mohri
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On Contrastive Representations of Stochastic Processes
Emile Mathieu · Adam Foster · Yee Teh
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
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
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks
Jianhong Wang · Wangkun Xu · Yunjie Gu · Wenbin Song · Tim C Green
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics
Andersen Ang · Jianzhu Ma · Nianjun Liu · Kun Huang · Yijie Wang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
No Regrets for Learning the Prior in Bandits
Soumya Basu · Branislav Kveton · Manzil Zaheer · Csaba Szepesvari
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Play to Grade: Testing Coding Games as Classifying Markov Decision Process
Allen Nie · Emma Brunskill · Chris Piech
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Near Optimal Policy Optimization via REPS
Aldo Pacchiano · Jonathan N Lee · Peter Bartlett · Ofir Nachum