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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
Csaba Toth · Patric Bonnier · Harald Oberhauser
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Teaching Temporal Logics to Neural Networks
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
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
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
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
Irwan Bello
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Gradient Projection Memory for Continual Learning
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
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
Sangdon Park · Shuo Li · Insup Lee · Osbert Bastani
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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
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
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
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
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
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
Ziyu Yao · Frank F Xu · Pengcheng Yin · Huan Sun · Graham Neubig
[ Slides
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Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Representation learning for improved interpretability and classification accuracy of clinical factors from EEG
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
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
Biao Zhang · Ankur Bapna · Rico Sennrich · Orhan Firat
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Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Trajectory Prediction using Equivariant Continuous Convolution
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
Denis Yarats · Ilya Kostrikov · Rob Fergus
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[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
On the role of planning in model-based deep reinforcement learning
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
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
Milton Montero · Casimir JH Ludwig · Rui Ponte Costa · Gaurav Malhotra · Jeffrey Bowers
[ Slides
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Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Shapley Explanation Networks
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
Efthymios Tzinis · Scott Wisdom · Aren Jansen · Shawn Hershey · Tal Remez · Dan Ellis · John Hershey
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[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Pruning Neural Networks at Initialization: Why Are We Missing the Mark?
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
Jiaojiao Zhao · Cees G Snoek
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Learning Hyperbolic Representations of Topological Features
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
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
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
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
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
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
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
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
Thomas Fischbacher · Luciano Sbaiz
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Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks
Ingmar Schubert · Ozgur Oguz · Marc Toussaint
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Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
On the Universality of Rotation Equivariant Point Cloud Networks
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
Paulo Tabuada · Bahman Gharesifard
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Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings
Elliot Meyerson · Risto Miikkulainen
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Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning
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
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
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
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
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
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
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
Yinigwei Li · Qihang Yu · Mingxing Tan · Jieru Mei · Peng Tang · Wei Shen · Alan Yuille · Cihang Xie
[ Slides
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Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Learning Invariant Representations for Reinforcement Learning without Reconstruction
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
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
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
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
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
Jongheon Jeong · Jinwoo Shin
[ Slides
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Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Language-Agnostic Representation Learning of Source Code from Structure and Context
Daniel Zügner · Tobias Kirschstein · Michele Catasta · Jure Leskovec · Stephan Günnemann
[ Slides
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Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers
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
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
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
Alistair Letcher
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
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
Nicklas Hansen · Rishabh Jangir · Yu Sun · Guillem Alenyà · Pieter Abbeel · Alexei Efros · Lerrel Pinto · Xiaolong Wang
[ Slides
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Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
The Risks of Invariant Risk Minimization
Elan Rosenfeld · Pradeep K Ravikumar · Andrej Risteski
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Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Rethinking Embedding Coupling in Pre-trained Language Models
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
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?
Aditya Krishna Menon · Ankit Singh Rawat · Sanjiv Kumar
[ Slides
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Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Revisiting Few-sample BERT Fine-tuning
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
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
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
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
Kiana Ehsani · Daniel Gordon · Thomas H Nguyen · Roozbeh Mottaghi · Ali Farhadi
[ Slides
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Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Scaling Symbolic Methods using Gradients for Neural Model Explanation
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
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
Marius Mosbach · Maksym Andriushchenko · Dietrich Klakow
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Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
MultiModalQA: complex question answering over text, tables and images
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
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
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
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
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
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
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
Satya Narayan Shukla · Benjamin M Marlin
[ Slides
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Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Adaptive Federated Optimization
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
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
Talya Eden · Piotr Indyk · Shyam Narayanan · Ronitt Rubinfeld · Sandeep Silwal · Tal Wagner
[ Paper ]