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Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
The Efficiency Misnomer
Mostafa Dehghani · Yi Tay · Anurag Arnab · Lucas Beyer · Ashish Vaswani
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Consistent Counterfactuals for Deep Models
Emily Black · Zifan Wang · Matt Fredrikson
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
The Effects of Invertibility on the Representational Complexity of Encoders in Variational Autoencoders
Divyansh Pareek · Andrej Risteski
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
FILIP: Fine-grained Interactive Language-Image Pre-Training
Lewei Yao · Runhui Huang · LU HOU · Guansong Lu · Minzhe Niu · Hang Xu · Xiaodan Liang · Zhenguo Li · Xin Jiang · Chunjing Xu
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Missingness Bias in Model Debugging
Saachi Jain · Hadi Salman · Eric Wong · Pengchuan Zhang · Vibhav Vineet · Sai Vemprala · Aleksander Madry
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
Vincent Mai · Kaustubh Mani · Liam Paull
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias
Frederic Koehler · Viraj Mehta · Chenghui Zhou · Andrej Risteski
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Amortized Tree Generation for Bottom-up Synthesis Planning and Synthesizable Molecular Design
Wenhao Gao · Rocío Mercado · Connor Coley
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Phenomenology of Double Descent in Finite-Width Neural Networks
Sidak Pal Singh · Aurelien Lucchi · Thomas Hofmann · Bernhard Schoelkopf
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning
Chengping Rao · Pu Ren · Yang Liu · Hao Sun
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Learning Distributionally Robust Models at Scale via Composite Optimization
Farzin Haddadpour · Mohammad Mahdi Kamani · Mehrdad Mahdavi · Amin Karbasi
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Generalized rectifier wavelet covariance models for texture synthesis
Antoine Brochard · Sixin Zhang · Stéphane Mallat
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning
Dhruv Shah · Peng Xu · Yao Lu · Ted Xiao · Alexander Toshev · Sergey Levine · brian ichter
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Practical Conditional Neural Process Via Tractable Dependent Predictions
Stratis Markou · James Requeima · Wessel Bruinsma · Anna Vaughan · Richard E Turner
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Offline Reinforcement Learning with Value-based Episodic Memory
Xiaoteng Ma · Yiqin Yang · Hao Hu · Jun Yang · Chongjie Zhang · Qianchuan Zhao · Bin Liang · Qihan Liu
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Space-Time Graph Neural Networks
Samar Hadou · Charilaos Kanatsoulis · Alejandro Ribeiro
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human Models
Cassidy Laidlaw · Anca Dragan
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
CoMPS: Continual Meta Policy Search
Glen Berseth · Zhiwei Zhang · Grace Zhang · Chelsea Finn · Sergey Levine
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning
Ziniu Li · Yingru Li · Yushun Zhang · Tong Zhang · Zhi-Quan Luo
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
A Comparison of Hamming Errors of Representative Variable Selection Methods
Tracy Ke · Longlin Wang
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Constructing a Good Behavior Basis for Transfer using Generalized Policy Updates
Safa Alver · Doina Precup
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Long Expressive Memory for Sequence Modeling
T. Konstantin Rusch · Siddhartha Mishra · N. Benjamin Erichson · Michael W Mahoney
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Label Leakage and Protection in Two-party Split Learning
Oscar Li · Jiankai Sun · Xin Yang · Weihao Gao · Hongyi Zhang · Junyuan Xie · Virginia Smith · Chong Wang
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
David Berthelot · Rebecca Roelofs · Kihyuk Sohn · Nicholas Carlini · Alexey Kurakin
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
Satya Narayan Shukla · Benjamin M Marlin
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
SphereFace2: Binary Classification is All You Need for Deep Face Recognition
Yandong Wen · Weiyang Liu · Adrian Weller · Bhiksha Raj · Rita Singh
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Hindsight Foresight Relabeling for Meta-Reinforcement Learning
Michael Wan · Jian Peng · Tanmay Gangwani
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Linking Emergent and Natural Languages via Corpus Transfer
Shunyu Yao · Mo Yu · Yang Zhang · Karthik Narasimhan · Joshua B Tenenbaum · Chuang Gan
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
The Information Geometry of Unsupervised Reinforcement Learning
Benjamin Eysenbach · Ruslan Salakhutdinov · Sergey Levine
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Knowledge Infused Decoding
Ruibo Liu · Guoqing Zheng · Shashank Gupta · Radhika Gaonkar · CHONGYANG GAO · Soroush Vosoughi · Milad Shokouhi · Ahmed H Awadallah
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Deep Learning without Shortcuts: Shaping the Kernel with Tailored Rectifiers
Guodong Zhang · Aleksandar Botev · James Martens
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
CrossMatch: Cross-Classifier Consistency Regularization for Open-Set Single Domain Generalization
Ronghang Zhu · Sheng Li
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Learning to Dequantise with Truncated Flows
Shawn Tan · Chin-Wei Huang · Alessandro Sordoni · Aaron Courville
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators
John Guibas · Morteza Mardani · Zongyi Li · Andrew Tao · Anima Anandkumar · Bryan Catanzaro
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Pseudo Numerical Methods for Diffusion Models on Manifolds
Luping Liu · Yi Ren · Zhijie Lin · Zhou Zhao
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Orchestrated Value Mapping for Reinforcement Learning
Mehdi Fatemi · Arash Tavakoli
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
GeneDisco: A Benchmark for Experimental Design in Drug Discovery
Arash Mehrjou · Ashkan Soleymani · Andrew Jesson · Pascal Notin · Yarin Gal · Stefan Bauer · Patrick Schwab
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Relational Multi-Task Learning: Modeling Relations between Data and Tasks
Kaidi Cao · Jiaxuan You · Jure Leskovec
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Scene Transformer: A unified architecture for predicting future trajectories of multiple agents
Jiquan Ngiam · Vijay Vasudevan · Benjamin Caine · Zhengdong Zhang · Hao-Tien (Lewis) Chiang · Jeffrey Ling · Rebecca Roelofs · Alex Bewley · Chenxi Liu · Ashish Venugopal · David Weiss · Ben Sapp · Zhifeng Chen · Jonathon Shlens
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning
Jinxin Liu · Hongyin Zhang · Donglin Wang
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction
Mingyue Tang · Pan Li · Carl Yang
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Learnability Lock: Authorized Learnability Control Through Adversarial Invertible Transformations
Weiqi Peng · Jinghui Chen
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Gaussian Mixture Convolution Networks
Adam Celarek · Pedro Hermosilla Casajus · Bernhard Kerbl · Timo Ropinski · Michael Wimmer
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Image BERT Pre-training with Online Tokenizer
Jinghao Zhou · Chen Wei · Huiyu Wang · Wei Shen · Cihang Xie · Alan Yuille · Tao Kong
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Better Supervisory Signals by Observing Learning Paths
YI REN · Shangmin Guo · Danica J Sutherland
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Learning State Representations via Retracing in Reinforcement Learning
Changmin Yu · Dong Li · Jianye HAO · Jun Wang · Neil Burgess
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Auto-scaling Vision Transformers without Training
Wuyang Chen · Wei Huang · Xianzhi Du · Xiaodan Song · Zhangyang Wang · Dengyong Zhou
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Towards Building A Group-based Unsupervised Representation Disentanglement Framework
Tao Yang · Xuanchi Ren · Yuwang Wang · Wenjun Zeng · Nanning Zheng
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Learning Prototype-oriented Set Representations for Meta-Learning
Dandan Guo · Long Tian · Minghe Zhang · Mingyuan Zhou · Hongyuan Zha
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Connectome-constrained Latent Variable Model of Whole-Brain Neural Activity
Lu Mi · Richard Xu · Sridhama Prakhya · Albert Lin · Nir Shavit · Aravinthan Samuel · Srinivas C Turaga
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning
Haichao Zhang · Wei Xu · Haonan Yu
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
$\pi$BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization
Carl Hvarfner · Danny Stoll · Artur Souza · Marius Lindauer · Frank Hutter · Luigi Nardi
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
No One Representation to Rule Them All: Overlapping Features of Training Methods
Raphael Gontijo Lopes · Yann Dauphin · Ekin Cubuk
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
On the Importance of Firth Bias Reduction in Few-Shot Classification
Saba Ghaffari · Ehsan Saleh · David Forsyth · Yu-Xiong Wang
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Memorizing Transformers
Yuhuai Wu · Markus Rabe · DeLesley Hutchins · Christian Szegedy
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
On the role of population heterogeneity in emergent communication
Mathieu Rita · Florian Strub · Jean-Bastien Grill · Olivier Pietquin · Emmanuel Dupoux
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Plant 'n' Seek: Can You Find the Winning Ticket?
Jonas Fischer · Rebekka Burkholz
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Assessing Generalization of SGD via Disagreement
Yiding Jiang · Vaishnavh Nagarajan · Christina Baek · Zico Kolter
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Churn Reduction via Distillation
Heinrich Jiang · Harikrishna Narasimhan · Dara Bahri · Andrew Cotter · Afshin Rostamizadeh
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Memory Augmented Optimizers for Deep Learning
Paul-Aymeric McRae · Prasanna Parthasarathi · Mido Assran · Sarath Chandar
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
On Improving Adversarial Transferability of Vision Transformers
Muzammal Naseer · Kanchana Ranasinghe · Salman Khan · Fahad Khan · Fatih Porikli
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach
Prashant Khanduri · Haibo Yang · Mingyi Hong · Jia Liu · Hoi To Wai · Sijia Liu
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
On the Certified Robustness for Ensemble Models and Beyond
Zhuolin Yang · Linyi Li · Xiaojun Xu · Bhavya Kailkhura · Tao Xie · Bo Li
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
CLEVA-Compass: A Continual Learning Evaluation Assessment Compass to Promote Research Transparency and Comparability
Martin Mundt · Steven Lang · Quentin Delfosse · Kristian Kersting
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization
Aviral Kumar · Rishabh Agarwal · Tengyu Ma · Aaron Courville · George Tucker · Sergey Levine
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Information Prioritization through Empowerment in Visual Model-based RL
Homanga Bharadhwaj · Mohammad Babaeizadeh · Dumitru Erhan · Sergey Levine
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
PAC-Bayes Information Bottleneck
Zifeng Wang · Shao-Lun Huang · Ercan Kuruoglu · Jimeng Sun · Xi Chen · Yefeng Zheng
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics
Sizhe Li · Zhiao Huang · Tao Du · Hao Su · Joshua B Tenenbaum · Chuang Gan
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Cross-Domain Imitation Learning via Optimal Transport
Arnaud Fickinger · samuel cohen · Stuart Russell · Brandon Amos
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm
Yangguang Li · Feng Liang · Lichen Zhao · Yufeng Cui · Wanli Ouyang · Jing Shao · fengwei yu · Junjie Yan
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Value Gradient weighted Model-Based Reinforcement Learning
Claas Voelcker · Victor Liao · Animesh Garg · Amir-massoud Farahmand
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Bayesian Framework for Gradient Leakage
Mislav Balunovic · Dimitar I. Dimitrov · Robin Staab · Martin Vechev
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization
Lixu Wang · Shichao Xu · Ruiqi Xu · Xiao Wang · Qi Zhu
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings
Kartik Goyal · Chris Dyer · Taylor Berg-Kirkpatrick
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Fortuitous Forgetting in Connectionist Networks
Hattie Zhou · Ankit Vani · Hugo Larochelle · Aaron Courville
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Understanding over-squashing and bottlenecks on graphs via curvature
Jake Topping · Francesco Di Giovanni · Benjamin Chamberlain · Xiaowen Dong · Michael Bronstein
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Data Poisoning Won’t Save You From Facial Recognition
Evani Radiya-Dixit · Sanghyun Hong · Nicholas Carlini · Florian Tramer
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Towards Understanding the Robustness Against Evasion Attack on Categorical Data
Hongyan Bao · Yufei Han · Yujun Zhou · Yun Shen · Xiangliang Zhang
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
How Attentive are Graph Attention Networks?
Shaked Brody · Uri Alon · Eran Yahav
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
RvS: What is Essential for Offline RL via Supervised Learning?
Scott Emmons · Benjamin Eysenbach · Ilya Kostrikov · Sergey Levine
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Poisoning and Backdooring Contrastive Learning
Nicholas Carlini · Andreas Terzis
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Provably Filtering Exogenous Distractors using Multistep Inverse Dynamics
Yonathan Efroni · Dipendra Kumar Misra · Akshay Krishnamurthy · Alekh Agarwal · John Langford
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Neural Methods for Logical Reasoning over Knowledge Graphs
Alfonso Amayuelas · Shuai Zhang · Xi Rao · Ce Zhang
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios
Vaisakh Shaj · Dieter Büchler · Rohit Sonker · Philipp Becker · Gerhard Neumann
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation
Da Xu · Yuting Ye · Chuanwei Ruan · evren korpeoglu · Sushant Kumar · kannan achan
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Step-unrolled Denoising Autoencoders for Text Generation
Nikolay Savinov · Junyoung Chung · Mikolaj Binkowski · Erich Elsen · Aaron v den
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
CrowdPlay: Crowdsourcing Human Demonstrations for Offline Learning
Matthias Gerstgrasser · Rakshit Trivedi · David Parkes
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Topologically Regularized Data Embeddings
Robin Vandaele · Bo Kang · Jefrey Lijffijt · Tijl De Bie · Yvan Saeys
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Diverse Client Selection for Federated Learning via Submodular Maximization
Ravikumar Balakrishnan · Tian Li · Tianyi Zhou · Nageen Himayat · Virginia Smith · Jeff Bilmes
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Capturing Structural Locality in Non-parametric Language Models
Frank F Xu · Junxian He · Graham Neubig · Vincent Hellendoorn
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits
Yikun Ban · Yuchen Yan · Arindam Banerjee · Jingrui He
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
A Statistical Framework for Efficient Out of Distribution Detection in Deep Neural Networks
Matan Haroush · Tzviel Frostig · Ruth Heller · Daniel Soudry
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Task-Induced Representation Learning
Jun Yamada · Karl Pertsch · Anisha Gunjal · Joseph Lim
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect
Yuqing Wang · Minshuo Chen · Tuo Zhao · Molei Tao
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity
Ginger Delmas · Rafael S Rezende · Gabriela Csurka · Diane Larlus
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality
Daniel Watson · William Chan · Jonathan Ho · Mohammad Norouzi
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Comparing Distributions by Measuring Differences that Affect Decision Making
Shengjia Zhao · Abhishek Sinha · Yutong He · Aidan Perreault · Jiaming Song · Stefano Ermon
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Adversarial Unlearning of Backdoors via Implicit Hypergradient
Yi Zeng · Si Chen · Won Park · Zhuoqing Mao · Ming Jin · Ruoxi Jia
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Learning Representation from Neural Fisher Kernel with Low-rank Approximation
Ruixiang Zhang · Shuangfei Zhai · Etai Littwin · Joshua Susskind
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Differentiable DAG Sampling
Bertrand Charpentier · Simon Kibler · Stephan Günnemann
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Reward Uncertainty for Exploration in Preference-based Reinforcement Learning
Xinran Liang · Katherine Shu · Kimin Lee · Pieter Abbeel
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Sequence Approximation using Feedforward Spiking Neural Network for Spatiotemporal Learning: Theory and Optimization Methods
Xueyuan She · Saurabh Dash · Saibal Mukhopadhyay
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Graph-Relational Domain Adaptation
Zihao Xu · Hao He · Guang-He Lee · Bernie Wang · Hao Wang
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Distribution Compression in Near-Linear Time
Abhishek Shetty · Raaz Dwivedi · Lester Mackey
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
DIVA: Dataset Derivative of a Learning Task
Yonatan Dukler · Alessandro Achille · Giovanni Paolini · Avinash Ravichandran · Marzia Polito · Stefano Soatto
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
Masatoshi Uehara · Wen Sun
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
Jiehui Xu · haixu wu · Jianmin Wang · Mingsheng Long
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension
Paris Giampouras · Benjamin Haeffele · Rene Vidal
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning
Vamsi Aribandi · Yi Tay · Tal Schuster · Jinfeng Rao · Huaixiu Steven Zheng · Sanket Vaibhav Mehta · Honglei Zhuang · Vinh Tran · Dara Bahri · Jianmo Ni · Jai Gupta · Kai Hui · Sebastian Ruder · Donald Metzler
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Multimeasurement Generative Models
Saeed Saremi · Rupesh K Srivastava
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Fast Regression for Structured Inputs
Raphael Meyer · Cameron Musco · Christopher Musco · David Woodruff · Samson Zhou
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Implicit Bias of MSE Gradient Optimization in Underparameterized Neural Networks
Benjamin Bowman · Guido Montufar
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Transformer-based Transform Coding
Yinhao Zhu · Yang Yang · Taco Cohen
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Understanding and Leveraging Overparameterization in Recursive Value Estimation
Chenjun Xiao · Bo Dai · Jincheng Mei · Oscar Ramirez · Ramki Gummadi · Chris Harris · Dale Schuurmans
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
The Convex Geometry of Backpropagation: Neural Network Gradient Flows Converge to Extreme Points of the Dual Convex Program
Yifei Wang · Mert Pilanci
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
The Hidden Convex Optimization Landscape of Regularized Two-Layer ReLU Networks: an Exact Characterization of Optimal Solutions
Yifei Wang · Jonathan Lacotte · Mert Pilanci