(266 events)   Timezone: »  
Show all »
Toggle Poster Visibility
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
Shengcai Liao · Ling Shao
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Faster Algorithms and Constant Lower Bounds for the Worst-Case Expected Error
Jonah Brown-Cohen
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning
Hyunsoo Chung · Jungtaek Kim · Boris Knyazev · Jinhwi Lee · Graham Taylor · Jaesik Park · Minsu Cho
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Global Convergence of Online Optimization for Nonlinear Model Predictive Control
Sen Na
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Automatic Data Augmentation for Generalization in Reinforcement Learning
Roberta Raileanu · Maxwell Goldstein · Denis Yarats · Ilya Kostrikov · Rob Fergus
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Causal Identification with Matrix Equations
Sanghack Lee · Elias Bareinboim
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Low-Rank Subspaces in GANs
Jiapeng Zhu · Ruili Feng · Yujun Shen · Deli Zhao · Zheng-Jun Zha · Jingren Zhou · Qifeng Chen
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder
Shifeng Zhang · Ning Kang · Tom Ryder · Zhenguo Li
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Personalized Federated Learning With Gaussian Processes
Idan Achituve · Aviv Shamsian · Aviv Navon · Gal Chechik · Ethan Fetaya
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Gradient Method for Multilevel Optimization
Ryo Sato · Mirai Tanaka · Akiko Takeda
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
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
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis
Jikai Jin · Bohang Zhang · Haiyang Wang · Liwei Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Identifiability in inverse reinforcement learning
Haoyang Cao · Samuel Cohen · Lukasz Szpruch
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Modular Gaussian Processes for Transfer Learning
Pablo Moreno-Muñoz · Antonio Artes · Mauricio Álvarez
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation
Yufei Wang · Can Xu · Huang Hu · Chongyang Tao · Stephen Wan · Mark Dras · Mark Johnson · Daxin Jiang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation
Jingyu Zhao · Yanwen Fang · Guodong Li
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
DRONE: Data-aware Low-rank Compression for Large NLP Models
Patrick Chen · Hsiang-Fu Yu · Inderjit Dhillon · Cho-Jui Hsieh
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Spherical Motion Dynamics: Learning Dynamics of Normalized Neural Network using SGD and Weight Decay
Ruosi Wan · Zhanxing Zhu · Xiangyu Zhang · Jian Sun
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Effective Meta-Regularization by Kernelized Proximal Regularization
Weisen Jiang · James Kwok · Yu Zhang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
CorticalFlow: A Diffeomorphic Mesh Transformer Network for Cortical Surface Reconstruction
Leo Lebrat · Rodrigo Santa Cruz · Frederic de Gournay · Darren Fu · Pierrick Bourgeat · Jurgen Fripp · Clinton Fookes · Olivier Salvado
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
INDIGO: GNN-Based Inductive Knowledge Graph Completion Using Pair-Wise Encoding
Shuwen Liu · Bernardo Grau · Ian Horrocks · Egor Kostylev
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Agent Modelling under Partial Observability for Deep Reinforcement Learning
Georgios Papoudakis · Filippos Christianos · Stefano Albrecht
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Semialgebraic Representation of Monotone Deep Equilibrium Models and Applications to Certification
Tong Chen · Jean Lasserre · Victor Magron · Edouard Pauwels
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection
Muhammad Akhtar Munir · Muhammad Haris Khan · M. Sarfraz · Mohsen Ali
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions
Huan Ma · Zongbo Han · Changqing Zhang · Huazhu Fu · Joey Tianyi Zhou · Qinghua Hu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
CATs: Cost Aggregation Transformers for Visual Correspondence
Seokju Cho · Sunghwan Hong · Sangryul Jeon · Yunsung Lee · Kwanghoon Sohn · Seungryong Kim
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Note on Sparse Generalized Eigenvalue Problem
Yunfeng Cai · Guanhua Fang · Ping Li
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach
Qitian Wu · Chenxiao Yang · Junchi Yan
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Efficient Combination of Rematerialization and Offloading for Training DNNs
Olivier Beaumont · Lionel Eyraud-Dubois · Alena Shilova
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Denoising Normalizing Flow
Christian Horvat · Jean-Pascal Pfister
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Graphical Models in Heavy-Tailed Markets
Jose Vinicius de Miranda Cardoso · Jiaxi Ying · Daniel Palomar
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Associating Objects with Transformers for Video Object Segmentation
Zongxin Yang · Yunchao Wei · Yi Yang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Counterexample Guided RL Policy Refinement Using Bayesian Optimization
Briti Gangopadhyay · Pallab Dasgupta
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers
Bowen Pan · Rameswar Panda · Yifan Jiang · Zhangyang Wang · Rogerio Feris · Aude Oliva
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis
Patrick Esser · Robin Rombach · Andreas Blattmann · Bjorn Ommer
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Disentangled Contrastive Learning on Graphs
Haoyang Li · Xin Wang · Ziwei Zhang · Zehuan Yuan · Hang Li · Wenwu Zhu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels
Jizong Peng · Ping Wang · Christian Desrosiers · Marco Pedersoli
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Artistic Style Transfer with Internal-external Learning and Contrastive Learning
Haibo Chen · lei zhao · Zhizhong Wang · Huiming Zhang · Zhiwen Zuo · Ailin Li · Wei Xing · Dongming Lu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond
Risheng Liu · Yaohua Liu · Shangzhi Zeng · Jin Zhang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Instance-optimal Mean Estimation Under Differential Privacy
Ziyue Huang · Yuting Liang · Ke Yi
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Manifold Topology Divergence: a Framework for Comparing Data Manifolds.
Serguei Barannikov · Ilya Trofimov · Grigorii Sotnikov · Ekaterina Trimbach · Alexander Korotin · Alexander Filippov · Evgeny Burnaev
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Transformers Generalize DeepSets and Can be Extended to Graphs & Hypergraphs
Jinwoo Kim · Saeyoon Oh · Seunghoon Hong
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Probabilistic State Space Model for Joint Inference from Differential Equations and Data
Jonathan Schmidt · Nicholas Krämer · Philipp Hennig
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Stylized Dialogue Generation with Multi-Pass Dual Learning
Jinpeng Li · Yingce Xia · Rui Yan · Hongda Sun · Dongyan Zhao · Tie-Yan Liu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Provably Efficient Sample Collection Strategy for Reinforcement Learning
Jean Tarbouriech · Matteo Pirotta · Michal Valko · Alessandro Lazaric
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks
Tolga Birdal · Aaron Lou · Leonidas Guibas · Umut Simsekli
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification
Maximilian Stadler · Bertrand Charpentier · Simon Geisler · Daniel Zügner · Stephan Günnemann
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Sim and Real: Better Together
Shirli Di-Castro · Dotan Di Castro · Shie Mannor
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Batched Thompson Sampling
Cem Kalkanli · Ayfer Ozgur
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Generalization Guarantee of SGD for Pairwise Learning
Yunwen Lei · Mingrui Liu · Yiming Ying
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization
Benyuan Sun · Hongxing Huo · YI YANG · Bo Bai
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Subgoal Search For Complex Reasoning Tasks
Konrad Czechowski · Tomasz Odrzygóźdź · Marek Zbysiński · Michał Zawalski · Krzysztof Olejnik · Yuhuai Wu · Łukasz Kuciński · Piotr Miłoś
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Cycle Self-Training for Domain Adaptation
Hong Liu · Jianmin Wang · Mingsheng Long
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
How Tight Can PAC-Bayes be in the Small Data Regime?
Andrew Foong · Wessel Bruinsma · David Burt · Richard Turner
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Continuous Mean-Covariance Bandits
Yihan Du · Siwei Wang · Zhixuan Fang · Longbo Huang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Truncated Marginal Neural Ratio Estimation
Benjamin K Miller · Alex Cole · Patrick Forré · Gilles Louppe · Christoph Weniger
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence
Deng-Bao Wang · Lei Feng · Min-Ling Zhang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Proportional Participatory Budgeting with Additive Utilities
Grzegorz Pierczyński · Piotr Skowron · Dominik Peters
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Powerpropagation: A sparsity inducing weight reparameterisation
Jonathan Schwarz · Siddhant Jayakumar · Razvan Pascanu · Peter E Latham · Yee Teh
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Repulsive Deep Ensembles are Bayesian
Francesco D'Angelo · Vincent Fortuin
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
The Complexity of Bayesian Network Learning: Revisiting the Superstructure
Robert Ganian · Viktoriia Korchemna
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Not All Low-Pass Filters are Robust in Graph Convolutional Networks
Heng Chang · Yu Rong · Tingyang Xu · Yatao Bian · Shiji Zhou · Xin Wang · Junzhou Huang · Wenwu Zhu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
It Has Potential: Gradient-Driven Denoisers for Convergent Solutions to Inverse Problems
Regev Cohen · Yochai Blau · Daniel Freedman · Ehud Rivlin
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
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
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach
Fan Yang · Kai He · Linxiao Yang · Hongxia Du · Jingbang Yang · Bo Yang · Liang Sun
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Beyond the Signs: Nonparametric Tensor Completion via Sign Series
Chanwoo Lee · Miaoyan Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning
Scott Sussex · Caroline Uhler · Andreas Krause
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Universal Off-Policy Evaluation
Yash Chandak · Scott Niekum · Bruno da Silva · Erik Learned-Miller · Emma Brunskill · Philip Thomas
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Parameter-free HE-friendly Logistic Regression
Junyoung Byun · Woojin Lee · Jaewook Lee
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization
Bing-Jing Hsieh · Ping-Chun Hsieh · Xi Liu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Integrating Tree Path in Transformer for Code Representation
Han Peng · Ge Li · Wenhan Wang · YunFei Zhao · Zhi Jin
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Integrated Latent Heterogeneity and Invariance Learning in Kernel Space
Jiashuo Liu · Zheyuan Hu · Peng Cui · Bo Li · Zheyan Shen
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote
Yi-Shan Wu · Andres Masegosa · Stephan Lorenzen · Christian Igel · Yevgeny Seldin
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Tactical Optimism and Pessimism for Deep Reinforcement Learning
Ted Moskovitz · Jack Parker-Holder · Aldo Pacchiano · Michael Arbel · Michael Jordan
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Nearly Minimax Optimal Reinforcement Learning for Discounted MDPs
jiafan he · Dongruo Zhou · Quanquan Gu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Faster Non-asymptotic Convergence for Double Q-learning
Lin Zhao · Huaqing Xiong · Yingbin Liang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Understanding Partial Multi-Label Learning via Mutual Information
Xiuwen Gong · Dong Yuan · Wei Bao
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
PSD Representations for Effective Probability Models
Alessandro Rudi · Carlo Ciliberto
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Few-Round Learning for Federated Learning
Younghyun Park · Dong-Jun Han · Do-Yeon Kim · Jun Seo · Jaekyun Moon
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs
Han Zhong · Jiayi Huang · Lin Yang · Liwei Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples
Duong Le · Khoi Duc Nguyen · Khoi Nguyen · Quoc-Huy Tran · Rang Nguyen · Binh-Son Hua
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
See More for Scene: Pairwise Consistency Learning for Scene Classification
Gongwei Chen · Xinhang Song · Bohan Wang · Shuqiang Jiang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Boost Neural Networks by Checkpoints
Feng Wang · Guoyizhe Wei · Qiao Liu · Jinxiang Ou · xian wei · Hairong Lv
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Conformal Time-series Forecasting
Kamile Stankeviciute · Ahmed M. Alaa · Mihaela van der Schaar
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Kernel Functional Optimisation
Arun Kumar Anjanapura Venkatesh · Alistair Shilton · Santu Rana · Sunil Gupta · Svetha Venkatesh
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Diversity Matters When Learning From Ensembles
Giung Nam · Jongmin Yoon · Yoonho Lee · Juho Lee
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations
Vihari Piratla · Soumen Chakrabarti · Sunita Sarawagi
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning curves of generic features maps for realistic datasets with a teacher-student model
Bruno Loureiro · Cedric Gerbelot · Hugo Cui · Sebastian Goldt · Florent Krzakala · Marc Mezard · Lenka Zdeborová
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning
Nathan Grinsztajn · Johan Ferret · Olivier Pietquin · philippe preux · Matthieu Geist
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Coresets for Time Series Clustering
Lingxiao Huang · K Sudhir · Nisheeth Vishnoi
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
E(n) Equivariant Normalizing Flows
Victor Garcia Satorras · Emiel Hoogeboom · Fabian Fuchs · Ingmar Posner · Max Welling
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
Tengteng Huang · Yifan Sun · Xun Wang · Haotian Yao · Chi Zhang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
SWAD: Domain Generalization by Seeking Flat Minima
Junbum Cha · Sanghyuk Chun · Kyungjae Lee · Han-Cheol Cho · Seunghyun Park · Yunsung Lee · Sungrae Park
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Decentralized Q-learning in Zero-sum Markov Games
Muhammed Sayin · Kaiqing Zhang · David Leslie · Tamer Basar · Asuman Ozdaglar
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Variational Continual Bayesian Meta-Learning
Qiang Zhang · Jinyuan Fang · Zaiqiao Meng · Shangsong Liang · Emine Yilmaz
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic
Yufeng Zhang · Siyu Chen · Zhuoran Yang · Michael Jordan · Zhaoran Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning
Nan Ding · Xi Chen · Tomer Levinboim · Sebastian Goodman · Radu Soricut
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
On learning sparse vectors from mixture of responses
Nikita Polyanskii
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
Mi Luo · Fei Chen · Dapeng Hu · Yifan Zhang · Jian Liang · Jiashi Feng
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Fast Tucker Rank Reduction for Non-Negative Tensors Using Mean-Field Approximation
Kazu Ghalamkari · Mahito Sugiyama
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Fast Routing under Uncertainty: Adaptive Learning in Congestion Games via Exponential Weights
Dong Quan Vu · Kimon Antonakopoulos · Panayotis Mertikopoulos
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform
Achille Thin · Yazid Janati El Idrissi · Sylvain Le Corff · Charles Ollion · Eric Moulines · Arnaud Doucet · Alain Durmus · Christian X Robert
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Robustifying Algorithms of Learning Latent Trees with Vector Variables
Fengzhuo Zhang · Vincent Tan
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret
Jean Tarbouriech · Runlong Zhou · Simon Du · Matteo Pirotta · Michal Valko · Alessandro Lazaric
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Sparse Spiking Gradient Descent
Nicolas Perez-Nieves · Dan Goodman
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
The Implicit Bias of Minima Stability: A View from Function Space
Rotem Mulayoff · Tomer Michaeli · Daniel Soudry
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation
Ying Sun · Hengshu Zhu · Chuan Qin · Fuzhen Zhuang · Qing He · Hui Xiong
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Post-Training Sparsity-Aware Quantization
Gil Shomron · Freddy Gabbay · Samer Kurzum · Uri Weiser
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning
Hayeon Lee · Sewoong Lee · Song Chong · Sung Ju Hwang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Asynchronous Decentralized SGD with Quantized and Local Updates
Giorgi Nadiradze · Amirmojtaba Sabour · Peter Davies · Shigang Li · Dan Alistarh
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks
Pál András Papp · Karolis Martinkus · Lukas Faber · Roger Wattenhofer
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors
Zhaoqiang Liu · Subhroshekhar Ghosh · Jonathan Scarlett
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima
Guangyuan SHI · JIAXIN CHEN · Wenlong Zhang · Li-Ming Zhan · Xiao-Ming Wu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Oracle Complexity in Nonsmooth Nonconvex Optimization
Guy Kornowski · Ohad Shamir
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Partition-Based Formulations for Mixed-Integer Optimization of Trained ReLU Neural Networks
Calvin Tsay · Jan Kronqvist · Alexander Thebelt · Ruth Misener
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Entropy-based adaptive Hamiltonian Monte Carlo
Marcel Hirt · Michalis Titsias · Petros Dellaportas
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression
Zhize Li · Peter Richtarik
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Scalable Bayesian GPFA with automatic relevance determination and discrete noise models
Kristopher Jensen · Ta-Chu Kao · Jasmine Stone · Guillaume Hennequin
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
KS-GNN: Keywords Search over Incomplete Graphs via Graphs Neural Network
YU HAO · Xin Cao · Yufan Sheng · Yixiang Fang · Wei Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias
Lu Yu · Krishnakumar Balasubramanian · Stanislav Volgushev · Murat Erdogdu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning
Junsu Kim · Younggyo Seo · Jinwoo Shin
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective
Jiun Tian Hoe · Kam Woh Ng · Tianyu Zhang · Chee Seng Chan · Yi-Zhe Song · Tao Xiang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Adversarial Reweighting for Partial Domain Adaptation
Xiang Gu · Xi Yu · yan yang · Jian Sun · Zongben Xu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Deep Contextual Video Compression
Jiahao Li · Bin Li · Yan Lu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Identification of the Generalized Condorcet Winner in Multi-dueling Bandits
Björn Haddenhorst · Viktor Bengs · Eyke Hüllermeier
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning
Sen Cui · Weishen Pan · Jian Liang · Changshui Zhang · Fei Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization
Fuchao Wei · Chenglong Bao · Yang Liu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Uncertainty Calibration for Ensemble-Based Debiasing Methods
Ruibin Xiong · Yimeng Chen · Liang Pang · Xueqi Cheng · Zhi-Ming Ma · Yanyan Lan
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond
Pan Zhou · Hanshu Yan · Xiaotong Yuan · Jiashi Feng · Shuicheng Yan
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Gradient Inversion with Generative Image Prior
Jinwoo Jeon · jaechang Kim · Kangwook Lee · Sewoong Oh · Jungseul Ok
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Adder Attention for Vision Transformer
Han Shu · Jiahao Wang · Hanting Chen · Lin Li · Yujiu Yang · Yunhe Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents
Wei Qiu · Xinrun Wang · Runsheng Yu · Rundong Wang · Xu He · Bo An · Svetlana Obraztsova · Zinovi Rabinovich
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
What can linearized neural networks actually say about generalization?
Guillermo Ortiz-Jimenez · Seyed-Mohsen Moosavi-Dezfooli · Pascal Frossard
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Deep Conditional Gaussian Mixture Model for Constrained Clustering
Laura Manduchi · Kieran Chin-Cheong · Holger Michel · Sven Wellmann · Julia Vogt
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution
Guangpin Tao · Xiaozhong Ji · Wenzhuo Wang · Shuo Chen · Chuming Lin · Yun Cao · Tong Lu · Donghao Luo · Ying Tai
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Anti-Backdoor Learning: Training Clean Models on Poisoned Data
Yige Li · Xixiang Lyu · Nodens Koren · Lingjuan Lyu · Bo Li · Xingjun Ma
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks
Jesse Hagenaars · Federico Paredes-Valles · Guido de Croon
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Doubly Robust Thompson Sampling with Linear Payoffs
Wonyoung Kim · Gi-Soo Kim · Myunghee Cho Paik
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Time-independent Generalization Bounds for SGLD in Non-convex Settings
Tyler Farghly · Patrick Rebeschini
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Task-Adaptive Neural Network Search with Meta-Contrastive Learning
Wonyong Jeong · Hayeon Lee · Geon Park · Eunyoung Hyung · Jinheon Baek · Sung Ju Hwang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Constant Approximation Algorithm for Sequential Random-Order No-Substitution k-Median Clustering
Tom Hess · Michal Moshkovitz · Sivan Sabato
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Causal Bandits with Unknown Graph Structure
Yangyi Lu · Amirhossein Meisami · Ambuj Tewari
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback
Peter Richtarik · Igor Sokolov · Ilyas Fatkhullin
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Refined Learning Bounds for Kernel and Approximate $k$-Means
Yong Liu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
Mingguo He · Zhewei Wei · zengfeng Huang · Hongteng Xu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning
Xiong-Hui Chen · Shengyi Jiang · Feng Xu · Zongzhang Zhang · Yang Yu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
Gongfan Fang · Yifan Bao · Jie Song · Xinchao Wang · Donglin Xie · Chengchao Shen · Mingli Song
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Combinatorial Pure Exploration with Bottleneck Reward Function
Yihan Du · Yuko Kuroki · Wei Chen
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Self-Supervised Learning Disentangled Group Representation as Feature
Tan Wang · Zhongqi Yue · Jianqiang Huang · Qianru Sun · Hanwang Zhang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes
Sara Sangalli · Ertunc Erdil · Andeas Hötker · Olivio Donati · Ender Konukoglu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias
Raanan Rohekar · Shami Nisimov · Yaniv Gurwicz · Gal Novik
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning
Tao Yu · Cuiling Lan · Wenjun Zeng · Mingxiao Feng · Zhizheng Zhang · Zhibo Chen
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
What’s a good imputation to predict with missing values?
Marine Le Morvan · Julie Josse · Erwan Scornet · Gael Varoquaux
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Generalizable Multi-linear Attention Network
Tao Jin · Zhou Zhao
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables
Jakob Runge
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model
Antoine Bodin · Nicolas Macris
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark
Stefan O'Toole · Nir Lipovetzky · Miquel Ramirez · Adrian Pearce
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning
Shiming Chen · Guosen Xie · Yang Liu · Qinmu Peng · Baigui Sun · Hao Li · Xinge You · Ling Shao
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Meta-Learning for Relative Density-Ratio Estimation
Atsutoshi Kumagai · Tomoharu Iwata · Yasuhiro Fujiwara
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Error Compensated Distributed SGD Can Be Accelerated
Xun Qian · Peter Richtarik · Tong Zhang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation
Liyuan Xu · Heishiro Kanagawa · Arthur Gretton
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Robust Generalization despite Distribution Shift via Minimum Discriminating Information
Tobias Sutter · Andreas Krause · Daniel Kuhn
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Compositional Reinforcement Learning from Logical Specifications
Kishor Jothimurugan · Suguman Bansal · Osbert Bastani · Rajeev Alur
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
On the Estimation Bias in Double Q-Learning
Zhizhou Ren · Guangxiang Zhu · Hao Hu · Beining Han · Jianglun Chen · Chongjie Zhang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Xu Luo · Longhui Wei · Liangjian Wen · Jinrong Yang · Lingxi Xie · Zenglin Xu · Qi Tian
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Stochastic bandits with groups of similar arms.
Fabien Pesquerel · Hassan SABER · Odalric-Ambrym Maillard
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations
Yuping Luo · Tengyu Ma
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation
Fenglin Liu · Chenyu You · Xian Wu · Shen Ge · Sheng wang · Xu Sun
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Efficient Learning of Discrete-Continuous Computation Graphs
David Friede · Mathias Niepert
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Activation Sharing with Asymmetric Paths Solves Weight Transport Problem without Bidirectional Connection
Sunghyeon Woo · Jeongwoo Park · Jiwoo Hong · Dongsuk Jeon
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Multi-Label Learning with Pairwise Relevance Ordering
Ming-Kun Xie · Sheng-Jun Huang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression
Ziyu Wang · Yuhao Zhou · Tongzheng Ren · Jun Zhu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Re-ranking for image retrieval and transductive few-shot classification
Xi SHEN · Yang Xiao · Shell Xu Hu · Othman Sbai · Mathieu Aubry
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable
Tian-Zuo Wang · Zhi-Hua Zhou
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
On the Provable Generalization of Recurrent Neural Networks
Lifu Wang · Bo Shen · Bo Hu · Xing Cao
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
IRM—when it works and when it doesn't: A test case of natural language inference
Yana Dranker · He He · Yonatan Belinkov
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Latent Matters: Learning Deep State-Space Models
Alexej Klushyn · Richard Kurle · Maximilian Soelch · Botond Cseke · Patrick van der Smagt
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
The Complexity of Sparse Tensor PCA
Davin Choo · Tommaso d'Orsi
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment
Yin Zhao · minquan wang · Longjun Cai
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Curriculum Disentangled Recommendation with Noisy Multi-feedback
Hong Chen · Yudong Chen · Xin Wang · Ruobing Xie · Rui Wang · Feng Xia · Wenwu Zhu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data
Zhibo Zhu · Ziqi Liu · Ge Jin · Zhiqiang Zhang · Lei Chen · Jun Zhou · Jianyong Zhou
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems
Subhabrata Dutta · Tanya Gautam · Soumen Chakrabarti · Tanmoy Chakraborty
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP
Zihan Zhang · Jiaqi Yang · Xiangyang Ji · Simon Du
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
PortaSpeech: Portable and High-Quality Generative Text-to-Speech
Yi Ren · Jinglin Liu · Zhou Zhao
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Uncertainty-Driven Loss for Single Image Super-Resolution
Qian Ning · Weisheng Dong · Xin Li · Jinjian Wu · GUANGMING Shi
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms
Shuyu Cheng · Guoqiang Wu · Jun Zhu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Subquadratic Overparameterization for Shallow Neural Networks
ChaeHwan Song · Ali Ramezani-Kebrya · Thomas Pethick · Armin Eftekhari · Volkan Cevher
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Dual Progressive Prototype Network for Generalized Zero-Shot Learning
Chaoqun Wang · Shaobo Min · Xuejin Chen · Xiaoyan Sun · Houqiang Li
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning
Xinyi Xu · Lingjuan Lyu · Xingjun Ma · Chenglin Miao · Chuan Sheng Foo · Bryan Kian Hsiang Low
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels
Hao Wang · Yizhe Huang · Rui Gao · Flavio Calmon
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Dynamic Resolution Network
Mingjian Zhu · Kai Han · Enhua Wu · Qiulin Zhang · Ying Nie · Zhenzhong Lan · Yunhe Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Trash or Treasure? An Interactive Dual-Stream Strategy for Single Image Reflection Separation
Qiming Hu · Xiaojie Guo
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy
Masahiro Kato · Kenichiro McAlinn · Shota Yasui
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Hypergraph Propagation and Community Selection for Objects Retrieval
Guoyuan An · Yuchi Huo · Sung-eui Yoon
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks
Pascal Esser · Leena Chennuru Vankadara · Debarghya Ghoshdastidar
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Asynchronous Decentralized Online Learning
Jiyan Jiang · Wenpeng Zhang · Jinjie GU · Wenwu Zhu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Making the most of your day: online learning for optimal allocation of time
Etienne Boursier · Tristan Garrec · Vianney Perchet · Marco Scarsini
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning to Combine Per-Example Solutions for Neural Program Synthesis
Disha Shrivastava · Hugo Larochelle · Daniel Tarlow
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Knowledge-Adaptation Priors
Mohammad Emtiyaz Khan · Siddharth Swaroop
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Online Meta-Learning via Learning with Layer-Distributed Memory
Sudarshan Babu · Pedro Savarese · Michael Maire
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Rethinking gradient sparsification as total error minimization
Atal Sahu · Aritra Dutta · Ahmed M. Abdelmoniem · Trambak Banerjee · Marco Canini · Panos Kalnis
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Overlapping Spaces for Compact Graph Representations
Kirill Shevkunov · Liudmila Prokhorenkova
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Distributional Reinforcement Learning for Multi-Dimensional Reward Functions
Pushi Zhang · Xiaoyu Chen · Li Zhao · Wei Xiong · Tao Qin · Tie-Yan Liu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Co-evolution Transformer for Protein Contact Prediction
He Zhang · Fusong Ju · Jianwei Zhu · Liang He · Bin Shao · Nanning Zheng · Tie-Yan Liu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Stochastic Multi-Armed Bandits with Control Variates
Arun Verma · Manjesh Kumar Hanawal
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction
Longyuan Li · Jian Yao · Li Wenliang · Tong He · Tianjun Xiao · Junchi Yan · David Wipf · Zheng Zhang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Bandits with many optimal arms
Rianne de Heide · James Cheshire · Pierre Ménard · Alexandra Carpentier
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Understanding Bandits with Graph Feedback
Houshuang Chen · zengfeng Huang · Shuai Li · Chihao Zhang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Independent mechanism analysis, a new concept?
Luigi Gresele · Julius von Kügelgen · Vincent Stimper · Bernhard Schölkopf · Michel Besserve
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Well-tuned Simple Nets Excel on Tabular Datasets
Arlind Kadra · Marius Lindauer · Frank Hutter · Josif Grabocka
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers
Husheng Han · Kaidi Xu · Xing Hu · Xiaobing Chen · Ling LIANG · Zidong Du · Qi Guo · Yanzhi Wang · Yunji Chen
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning interaction rules from multi-animal trajectories via augmented behavioral models
Keisuke Fujii · Naoya Takeishi · Kazushi Tsutsui · Emyo Fujioka · Nozomi Nishiumi · Ryoya Tanaka · Mika Fukushiro · Kaoru Ide · Hiroyoshi Kohno · Ken Yoda · Susumu Takahashi · Shizuko Hiryu · Yoshinobu Kawahara
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning to Learn Graph Topologies
Xingyue Pu · Tianyue Cao · Xiaoyun Zhang · Xiaowen Dong · Siheng Chen
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation
Ankit Singh
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Do Different Tracking Tasks Require Different Appearance Models?
Zhongdao Wang · Hengshuang Zhao · Ya-Li Li · Shengjin Wang · Philip Torr · Luca Bertinetto
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Rethinking the Variational Interpretation of Accelerated Optimization Methods
Peiyuan Zhang · Antonio Orvieto · Hadi Daneshmand
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Global-aware Beam Search for Neural Abstractive Summarization
Ye Ma · Zixun Lan · Lu Zong · Kaizhu Huang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems
Andreas Schlaginhaufen · Philippe Wenk · Andreas Krause · Florian Dorfler
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Unlabeled Principal Component Analysis
Yunzhen Yao · Liangzu Peng · Manolis Tsakiris
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
ToAlign: Task-Oriented Alignment for Unsupervised Domain Adaptation
Guoqiang Wei · Cuiling Lan · Wenjun Zeng · Zhizheng Zhang · Zhibo Chen
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
Hengrui Zhang · Qitian Wu · Junchi Yan · David Wipf · Philip S Yu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD
Bohan Wang · Huishuai Zhang · Jieyu Zhang · Qi Meng · Wei Chen · Tie-Yan Liu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning a Single Neuron with Bias Using Gradient Descent
Gal Vardi · Gilad Yehudai · Ohad Shamir
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning
Aakash Kaku · Sahana Upadhya · Narges Razavian
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
Xiangxiang Chu · Zhi Tian · Yuqing Wang · Bo Zhang · Haibing Ren · Xiaolin Wei · Huaxia Xia · Chunhua Shen
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Variational Multi-Task Learning with Gumbel-Softmax Priors
Jiayi Shen · Xiantong Zhen · Marcel Worring · Ling Shao
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Structure-Aware Random Fourier Kernel for Graphs
Jinyuan Fang · Qiang Zhang · Zaiqiao Meng · Shangsong Liang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective
Zhengzhuo Xu · Zenghao Chai · Chun Yuan
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems
Jiayu Chen · Yuanxin Zhang · Yuanfan Xu · Huimin Ma · Huazhong Yang · Jiaming Song · Yu Wang · Yi Wu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning
Milad Abdollahzadeh · Touba Malekzadeh · Ngai-Man (Man) Cheung
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks
Rong Zhu · Mattia Rigotti
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
History Aware Multimodal Transformer for Vision-and-Language Navigation
Shizhe Chen · Pierre-Louis Guhur · Cordelia Schmid · Ivan Laptev
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms
Trent Kyono · Yao Zhang · Alexis Bellot · Mihaela van der Schaar
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Numerical Composition of Differential Privacy
Sivakanth Gopi · Yin Tat Lee · Lukas Wutschitz
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
BooVI: Provably Efficient Bootstrapped Value Iteration
Boyi Liu · Qi Cai · Zhuoran Yang · Zhaoran Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Model-Based Reinforcement Learning via Imagination with Derived Memory
Yao Mu · Yuzheng Zhuang · Bin Wang · Guangxiang Zhu · Wulong Liu · Jianyu Chen · Ping Luo · Shengbo Li · Chongjie Zhang · Jianye Hao
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Model Selection for Bayesian Autoencoders
Ba-Hien Tran · Simone Rossi · Dimitrios Milios · Pietro Michiardi · Edwin Bonilla · Maurizio Filippone
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Low-Fidelity Video Encoder Optimization for Temporal Action Localization
Mengmeng Xu · Juan Manuel Perez Rua · Xiatian Zhu · Bernard Ghanem · Brais Martinez
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Conformal Prediction using Conditional Histograms
Matteo Sesia · Yaniv Romano
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Adaptive Data Augmentation on Temporal Graphs
Yiwei Wang · Yujun Cai · Yuxuan Liang · Henghui Ding · Changhu Wang · Siddharth Bhatia · Bryan Hooi
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Information Directed Reward Learning for Reinforcement Learning
David Lindner · Matteo Turchetta · Sebastian Tschiatschek · Kamil Ciosek · Andreas Krause
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
STORM+: Fully Adaptive SGD with Recursive Momentum for Nonconvex Optimization
Kfir Levy · Ali Kavis · Volkan Cevher
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Differentially Private Multi-Armed Bandits in the Shuffle Model
Jay Tenenbaum · Haim Kaplan · Yishay Mansour · Uri Stemmer
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration
Runzhe Wu · Yufeng Zhang · Zhuoran Yang · Zhaoran Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Hessian Eigenspectra of More Realistic Nonlinear Models
Zhenyu Liao · Michael Mahoney
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
ROI Maximization in Stochastic Online Decision-Making
Nicolò Cesa-Bianchi · Tom Cesari · Yishay Mansour · Vianney Perchet
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Lip to Speech Synthesis with Visual Context Attentional GAN
Minsu Kim · Joanna Hong · Yong Man Ro
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes
Aditya Kusupati · Matthew Wallingford · Vivek Ramanujan · Raghav Somani · Jae Sung Park · Krishna Pillutla · Prateek Jain · Sham Kakade · Ali Farhadi
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Precise characterization of the prior predictive distribution of deep ReLU networks
Lorenzo Noci · Gregor Bachmann · Kevin Roth · Sebastian Nowozin · Thomas Hofmann
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases
Shashi Kant Gupta · Mengmi Zhang · CHIA-CHIEN WU · Jeremy Wolfe · Gabriel Kreiman
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Efficient and Local Parallel Random Walks
Michael Kapralov · Silvio Lattanzi · Navid Nouri · Jakab Tardos
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent
Priyank Jaini · Lars Holdijk · Max Welling
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
An Even More Optimal Stochastic Optimization Algorithm: Minibatching and Interpolation Learning
Blake Woodworth · Nathan Srebro
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Preserved central model for faster bidirectional compression in distributed settings
Constantin Philippenko · Aymeric Dieuleveut
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Variational Bayesian Optimistic Sampling
Brendan O'Donoghue · Tor Lattimore
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models
Matej Zečević · Devendra Dhami · Athresh Karanam · Sriraam Natarajan · Kristian Kersting
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Meta Internal Learning
Raphael Bensadoun · Shir Gur · Tomer Galanti · Lior Wolf
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Solving Soft Clustering Ensemble via $k$-Sparse Discrete Wasserstein Barycenter
Ruizhe Qin · Mengying Li · Hu Ding
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Network-to-Network Regularization: Enforcing Occam's Razor to Improve Generalization
Rohan Ghosh · Mehul Motani
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric Density Estimation
Robert Vandermeulen · Antoine Ledent
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics
Kai Xu · Akash Srivastava · Dan Gutfreund · Felix Sosa · Tomer Ullman · Josh Tenenbaum · Charles Sutton
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Graph Differentiable Architecture Search with Structure Learning
Yijian Qin · Xin Wang · Zeyang Zhang · Wenwu Zhu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication
Łukasz Kuciński · Tomasz Korbak · Paweł Kołodziej · Piotr Miłoś
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Beyond BatchNorm: Towards a Unified Understanding of Normalization in Deep Learning
Ekdeep S Lubana · Robert Dick · Hidenori Tanaka
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Going Beyond Linear RL: Sample Efficient Neural Function Approximation
Baihe Huang · Kaixuan Huang · Sham Kakade · Jason Lee · Qi Lei · Runzhe Wang · Jiaqi Yang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
De-randomizing MCMC dynamics with the diffusion Stein operator
Zheyang Shen · Markus Heinonen · Samuel Kaski