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The 2021 schedule is still incomplete
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Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
In Poster Session 02
Csaba Toth · Patric Bonnier · Harald Oberhauser
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Teaching Temporal Logics to Neural Networks
In Poster Session 02
Christopher Hahn · Frederik Schmitt · Jens Kreber · Markus Rabe · Bernd Finkbeiner
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Reset-Free Lifelong Learning with Skill-Space Planning
In Poster Session 02
Kevin Lu · Aditya Grover · Pieter Abbeel · Igor Mordatch
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing
In Poster Session 02
Tao Yu · Chien-Sheng Wu · Xi V Lin · bailin wang · Yi Tan · Xinyi Yang · Dragomir Radev · Richard Socher · Caiming Xiong
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Disentangling 3D Prototypical Networks for Few-Shot Concept Learning
In Poster Session 02
Mihir Prabhudesai · Shamit Lal · Darshan Patil · Hsiao-Yu Tung · Adam Harley · Katerina Fragkiadaki
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
LambdaNetworks: Modeling long-range Interactions without Attention
In Poster Session 02
Irwan Bello
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Gradient Projection Memory for Continual Learning
In Poster Session 02
Gobinda Saha · Isha Garg · Kaushik Roy
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Saliency is a Possible Red Herring When Diagnosing Poor Generalization
In Poster Session 02
Joseph Viviano · Becks Simpson · Francis Dutil · Yoshua Bengio · Joseph Paul Cohen
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
PAC Confidence Predictions for Deep Neural Network Classifiers
In Poster Session 02
Sangdon Park · Shuo Li · Insup Lee · Osbert Bastani
[ Slides] 
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms
In Poster Session 02
Arda Sahiner · Tolga Ergen · John M Pauly · Mert Pilanci
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Uncertainty Sets for Image Classifiers using Conformal Prediction
In Poster Session 02
Anastasios Angelopoulos · Stephen Bates · Michael Jordan · Jitendra Malik
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Conditional Negative Sampling for Contrastive Learning of Visual Representations
In Poster Session 02
Mike Wu · Milan Mosse · Chengxu Zhuang · Daniel Yamins · Noah Goodman
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Rapid Task-Solving in Novel Environments
In Poster Session 02
Samuel Ritter · Ryan Faulkner · Laurent Sartran · Adam Santoro · Matthew Botvinick · David Raposo
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Extracting Strong Policies for Robotics Tasks from Zero-Order Trajectory Optimizers
In Poster Session 02
Cristina Pinneri · Shambhuraj Sawant · Sebastian Blaes · Georg Martius
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Structural Edits via Incremental Tree Transformations
In Poster Session 02
Ziyu Yao · Frank F Xu · Pengcheng Yin · Huan Sun · Graham Neubig
[ Slides] 
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Representation learning for improved interpretability and classification accuracy of clinical factors from EEG
In Poster Session 02
Garrett Honke · Irina Higgins · Nina Thigpen · Vladimir Miskovic · Katie Link · Sunny Duan · Pramod Gupta · Julia Klawohn · Greg Hajcak
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Multi-Level Local SGD: Distributed SGD for Heterogeneous Hierarchical Networks
In Poster Session 02
Timothy Castiglia · Anirban Das · Stacy Patterson
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation
In Poster Session 02
Biao Zhang · Ankur Bapna · Rico Sennrich · Orhan Firat
[ Slides] 
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Trajectory Prediction using Equivariant Continuous Convolution
In Poster Session 02
Robin Walters · Jinxi Li · Rose Yu
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
In Poster Session 02
Denis Yarats · Ilya Kostrikov · Rob Fergus
[ Slides] 
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
On the role of planning in model-based deep reinforcement learning
In Poster Session 02
Jessica Hamrick · Abram Friesen · Feryal Behbahani · Arthur Guez · Fabio Viola · Sims Witherspoon · Thomas Anthony · Lars Buesing · Petar Veličković · Theophane Weber
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Fast convergence of stochastic subgradient method under interpolation
In Poster Session 02
Huang Fang · Zhenan Fan · Michael Friedlander
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
The role of Disentanglement in Generalisation
In Poster Session 02
Milton Montero · Casimir JH Ludwig · Rui Ponte Costa · Gaurav Malhotra · Jeffrey Bowers
[ Slides] 
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Shapley Explanation Networks
In Poster Session 02
Rui Wang · Xiaoqian Wang · David Inouye
[ Slides] 
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds
In Poster Session 02
Efthymios Tzinis · Scott Wisdom · Aren Jansen · Shawn Hershey · Tal Remez · Dan Ellis · John Hershey
[ Slides] 
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Pruning Neural Networks at Initialization: Why Are We Missing the Mark?
In Poster Session 02
Jonathan Frankle · Gintare Dziugaite · Anonymous A Author · Michael Carbin
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
LiftPool: Bidirectional ConvNet Pooling
In Poster Session 02
Jiaojiao Zhao · Cees G Snoek
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Learning Hyperbolic Representations of Topological Features
In Poster Session 02
Panagiotis Kyriakis · Iordanis Fostiropoulos · Paul Bogdan
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Predicting Inductive Biases of Pre-Trained Models
In Poster Session 02
Charles Lovering · Rohan Jha · Tal Linzen · Ellie Pavlick
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Learning from others' mistakes: Avoiding dataset biases without modeling them
In Poster Session 02
Victor Sanh · Thomas Wolf · Yonatan Belinkov · Alexander M Rush
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation
In Poster Session 02
Angtian Wang · Adam Kortylewski · Alan Yuille
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
MoVie: Revisiting Modulated Convolutions for Visual Counting and Beyond
In Poster Session 02
Duy-Kien Nguyen · Vedanuj Goswami · Xinlei Chen
[ Slides] 
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Planning from Pixels using Inverse Dynamics Models
In Poster Session 02
Keiran Paster · Sheila McIlraith · Jimmy Ba
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
On Statistical Bias In Active Learning: How and When to Fix It
In Poster Session 02
Sebastian Farquhar · Yarin Gal · Tom Rainforth
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Symmetry-Aware Actor-Critic for 3D Molecular Design
In Poster Session 02
Gregor Simm · Robert Pinsler · Gábor Csányi · José Miguel Hernández Lobato
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Single-Photon Image Classification
In Poster Session 02
Thomas Fischbacher · Luciano Sbaiz
[ Slides] 
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks
In Poster Session 02
Ingmar Schubert · Ozgur Oguz · Marc Toussaint
[ Slides] 
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
On the Universality of Rotation Equivariant Point Cloud Networks
In Poster Session 02
Nadav Dym · Haggai Maron
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Universal approximation power of deep residual neural networks via nonlinear control theory
In Poster Session 02
Paulo Tabuada · Bahman Gharesifard
[ Slides] 
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings
In Poster Session 02
Elliot Meyerson · Risto Miikkulainen
[ Slides] 
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning
In Poster Session 02
Zhenfang Chen · Jiayuan Mao · Jiajun Wu · Kwan-Yee K Wong · Joshua B Tenenbaum · Chuang Gan
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Structured Prediction as Translation between Augmented Natural Languages
In Poster Session 02
Giovanni Paolini · Ben Athiwaratkun · Jason Krone · Jie Ma · Alessandro Achille · RISHITA ANUBHAI · Cicero Nogueira dos Santos · Bing Xiang · Stefano Soatto
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Effective Distributed Learning with Random Features: Improved Bounds and Algorithms
In Poster Session 02
Yong Liu · Jiankun Liu · Shuqiang Wang
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Parameter Efficient Multimodal Transformers for Video Representation Learning
In Poster Session 02
Sangho Lee · Youngjae Yu · Gunhee Kim · Thomas Breuel · Jan Kautz · Yale Song
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
A statistical theory of cold posteriors in deep neural networks
In Poster Session 02
Laurence Aitchison
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures
In Poster Session 02
Pedro Hermosilla Casajus · Marco Schäfer · Matej Lang · Gloria Fackelmann · Pere-Pau Vázquez · Barbora Kozlikova · Michael Krone · Tobias Ritschel · Timo Ropinski
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Using latent space regression to analyze and leverage compositionality in GANs
In Poster Session 02
Lucy Chai · Jonas Wulff · Phillip Isola
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Shape-Texture Debiased Neural Network Training
In Poster Session 02
Yinigwei Li · Qihang Yu · Mingxing Tan · Jieru Mei · Peng Tang · Wei Shen · Alan Yuille · Cihang Xie
[ Slides] 
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Learning Invariant Representations for Reinforcement Learning without Reconstruction
In Poster Session 02
Amy Zhang · Rowan T McAllister · Roberto Calandra · Yarin Gal · Sergey Levine
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Zero-Cost Proxies for Lightweight NAS
In Poster Session 02
Mohamed Abdelfattah · Abhinav Mehrotra · Łukasz Dudziak · Nicholas Lane
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Shapley explainability on the data manifold
In Poster Session 02
Christopher Frye · Damien De Mijolla · Tom Begley · Laurence Cowton · Megan Stanley · Ilya Feige
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Learning "What-if" Explanations for Sequential Decision-Making
In Poster Session 02
Ioana Bica · Daniel Jarrett · Alihan Hüyük · Mihaela van der Schaar
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Graph Convolution with Low-rank Learnable Local Filters
In Poster Session 02
Xiuyuan Cheng · Zichen Miao · Qiang Qiu
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Training GANs with Stronger Augmentations via Contrastive Discriminator
In Poster Session 02
Jongheon Jeong · Jinwoo Shin
[ Slides] 
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Language-Agnostic Representation Learning of Source Code from Structure and Context
In Poster Session 02
Daniel Zügner · Tobias Kirschstein · Michele Catasta · Jure Leskovec · Stephan Günnemann
[ Slides] 
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers
In Poster Session 02
Benjamin Eysenbach · Shreyas Chaudhari · Swapnil Asawa · Sergey Levine · Ruslan Salakhutdinov
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
What Should Not Be Contrastive in Contrastive Learning
In Poster Session 02
Tete Xiao · Xiaolong Wang · Alexei Efros · trevor darrell
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs
In Poster Session 02
Matthew Leavitt · Ari Morcos
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
On the Impossibility of Global Convergence in Multi-Loss Optimization
In Poster Session 02
Alistair Letcher
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
In Poster Session 02
Andres Campero · Roberta Raileanu · Heinrich Kuttler · Joshua B Tenenbaum · Tim Rocktaeschel · Edward Grefenstette
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Self-Supervised Policy Adaptation during Deployment
In Poster Session 02
Nicklas Hansen · Rishabh Jangir · Yu Sun · Guillem Alenyà · Pieter Abbeel · Alexei Efros · Lerrel Pinto · Xiaolong Wang
[ Slides] 
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
The Risks of Invariant Risk Minimization
In Poster Session 02
Elan Rosenfeld · Pradeep K Ravikumar · Andrej Risteski
[ Slides] 
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Rethinking Embedding Coupling in Pre-trained Language Models
In Poster Session 02
Hyung Won Chung · Thibault Fevry · Henry Tsai · Melvin Johnson · Sebastian Ruder
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Learning explanations that are hard to vary
In Poster Session 02
Giambattista Parascandolo · Alexander Neitz · Antonio Orvieto · Luigi Gresele · Bernhard Schoelkopf
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Overparameterisation and worst-case generalisation: friend or foe?
In Poster Session 02
Aditya Krishna Menon · Ankit Singh Rawat · Sanjiv Kumar
[ Slides] 
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Revisiting Few-sample BERT Fine-tuning
In Poster Session 02
Tianyi Zhang · Felix Wu · Arzoo Katiyar · Kilian Weinberger · Yoav Artzi
[ Slides] 
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Understanding the failure modes of out-of-distribution generalization
In Poster Session 02
Vaishnavh Nagarajan · Anders J Andreassen · Behnam Neyshabur
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Open Question Answering over Tables and Text
In Poster Session 02
wenhu chen · Ming-Wei Chang · Eva Schlinger · William Yang Wang · William Cohen
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Predicting Classification Accuracy When Adding New Unobserved Classes
In Poster Session 02
Yuli Slavutsky · Yuval Benjamini
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
What Can You Learn From Your Muscles? Learning Visual Representation from Human Interactions
In Poster Session 02
Kiana Ehsani · Daniel Gordon · Thomas H Nguyen · Roozbeh Mottaghi · Ali Farhadi
[ Slides] 
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Scaling Symbolic Methods using Gradients for Neural Model Explanation
In Poster Session 02
Subham Sahoo · Subhashini Venugopalan · Li Li · Rishabh Singh · Patrick Riley
[ Slides] 
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Primal Wasserstein Imitation Learning
In Poster Session 02
Robert Dadashi · Léonard Hussenot-Desenonges · Matthieu Geist · Olivier Pietquin
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines
In Poster Session 02
Marius Mosbach · Maksym Andriushchenko · Dietrich Klakow
[ Slides] 
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
MultiModalQA: complex question answering over text, tables and images
In Poster Session 02
Alon Talmor · Ori Yoran · Amnon Catav · Dan Lahav · Yizhong Wang · Akari Asai · Gabriel Ilharco · Hannaneh Hajishirzi · Jonathan Berant
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
WrapNet: Neural Net Inference with Ultra-Low-Precision Arithmetic
In Poster Session 02
Renkun Ni · Hong-Min Chu · Oscar Castaneda · Ping-yeh Chiang · Christoph Studer · Tom Goldstein
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization
In Poster Session 02
Joshua Chang · Patrick A Fletcher · Jungmin Han · Ted Chang · Shashaank Vattikuti · Bart Desmet · Ayah Zirikly · Carson Chow
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models
In Poster Session 02
Siavash Khodadadeh · Sharare Zehtabian · Saeed Vahidian · Weijia Wang · Bill Lin · Ladislau Boloni
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback
In Poster Session 02
Jensen Gao · Siddharth Reddy · Glen Berseth · Nick Hardy · Nikhilesh Natraj · Karunesh Ganguly · Anca Dragan · Sergey Levine
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective
In Poster Session 02
Boxin Wang · Shuohang Wang · Yu Cheng · Zhe Gan · Ruoxi Jia · Bo Li · Jingjing Liu
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
In Poster Session 02
David Klindt · Lukas Schott · Yash Sharma · Ivan Ustyuzhaninov · Wieland Brendel · Matthias Bethge · Dylan Paiton
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Multi-Time Attention Networks for Irregularly Sampled Time Series
In Poster Session 02
Satya Narayan Shukla · Benjamin M Marlin
[ Slides] 
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Adaptive Federated Optimization
In Poster Session 02
Sashank Reddi · Zachary Charles · Manzil Zaheer · Zachary Garrett · Keith Rush · Jakub Konečný · Sanjiv Kumar · H. Brendan McMahan
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction
In Poster Session 02
Wei Deng · Qi Feng · Georgios Karagiannis · Guang Lin · Faming Liang
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Learning-based Support Estimation in Sublinear Time
In Poster Session 02
Talya Eden · Piotr Indyk · Shyam Narayanan · Ronitt Rubinfeld · Sandeep Silwal · Tal Wagner
[ Paper ]