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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching
Jonas Geiping · Liam H Fowl · Ronny Huang · Wojciech Czaja · Gavin Taylor · Michael Moeller · Tom Goldstein
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Sliced Kernelized Stein Discrepancy
Wenbo Gong · Yingzhen Li · José Miguel Hernández Lobato
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Early Stopping in Deep Networks: Double Descent and How to Eliminate it
Reinhard Heckel · Fatih Furkan Yilmaz
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Evaluation of Neural Architectures Trained With Square Loss vs Cross-Entropy in Classification Tasks
Like Hui · Misha Belkin
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies
T. Konstantin Rusch · Siddhartha Mishra
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Self-supervised Visual Reinforcement Learning with Object-centric Representations
Andrii Zadaianchuk · Maximilian Seitzer · Georg Martius
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
TropEx: An Algorithm for Extracting Linear Terms in Deep Neural Networks
Martin Trimmel · Henning Petzka · Cristian Sminchisescu
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks
Zhou Xian · Shamit Lal · Hsiao-Yu Tung · Anthony Platanios · Katerina Fragkiadaki
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Anytime Sampling for Autoregressive Models via Ordered Autoencoding
Yilun Xu · Yang Song · Sahaj Garg · Linyuan Gong · Rui Shu · Aditya Grover · Stefano Ermon
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Iterated learning for emergent systematicity in VQA
Ankit Vani · Max Schwarzer · Yuchen Lu · Eeshan Dhekane · Aaron Courville
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Orthogonalizing Convolutional Layers with the Cayley Transform
Asher Trockman · Zico Kolter
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
More or Less: When and How to Build Convolutional Neural Network Ensembles
Abdul Wasay · Stratos Idreos
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Provably robust classification of adversarial examples with detection
Fatemeh Sheikholeslami · Ali Lotfi · Zico Kolter
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Pre-training Text-to-Text Transformers for Concept-centric Common Sense
Wangchunshu Zhou · Dong-Ho Lee · Ravi Kiran Selvam · Seyeon Lee · Xiang Ren
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Faster Binary Embeddings for Preserving Euclidean Distances
Jinjie Zhang · Rayan Saab
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Neural Networks for Learning Counterfactual G-Invariances from Single Environments
S Chandra Mouli · Bruno Ribeiro
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning
Anurag Ajay · Aviral Kumar · Pulkit Agrawal · Sergey Levine · Ofir Nachum
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Modeling the Second Player in Distributionally Robust Optimization
Paul Michel · Tatsunori Hashimoto · Graham Neubig
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Chaos of Learning Beyond Zero-sum and Coordination via Game Decompositions
Yun Kuen Cheung · Yixin Tao
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
PC2WF: 3D Wireframe Reconstruction from Raw Point Clouds
Yujia Liu · Stefano D'Aronco · Konrad Schindler · Jan D Wegner
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows
Kashif Rasul · Abdul-Saboor Sheikh · Ingmar Schuster · Urs Bergmann · Roland Vollgraf
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies
Paul Pu Liang · Manzil Zaheer · Yuan Wang · Amr Ahmed
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
DeepAveragers: Offline Reinforcement Learning By Solving Derived Non-Parametric MDPs
aayam shrestha · Stefan Lee · Prasad Tadepalli · Alan Fern
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Benchmarks for Deep Off-Policy Evaluation
Justin Fu · Mohammad Norouzi · Ofir Nachum · George Tucker · ziyu wang · Alexander Novikov · Sherry Yang · Michael Zhang · Yutian Chen · Aviral Kumar · Cosmin Paduraru · Sergey Levine · Thomas Paine
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Growing Efficient Deep Networks by Structured Continuous Sparsification
Xin Yuan · Pedro Savarese · Michael Maire
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Training independent subnetworks for robust prediction
Marton Havasi · Rodolphe Jenatton · Stanislav Fort · Jeremiah Zhe Liu · Jasper Snoek · Balaji Lakshminarayanan · Andrew Dai · Dustin Tran
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Task-General Representations with Generative Neuro-Symbolic Modeling
Reuben Feinman · Brenden Lake
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Average-case Acceleration for Bilinear Games and Normal Matrices
Carles Domingo i Enrich · Fabian Pedregosa · Damien Scieur
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
IsarStep: a Benchmark for High-level Mathematical Reasoning
Wenda Li · Lei Yu · Yuhuai Wu · Lawrence Paulson
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition
Abhinav Mehrotra · Alberto Gil Couto Pimentel Ramos · Sourav Bhattacharya · Łukasz Dudziak · Ravichander Vipperla · Thomas C Chau · Mohamed Abdelfattah · Samin Ishtiaq · Nicholas Lane
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Graph Information Bottleneck for Subgraph Recognition
Junchi Yu · Tingyang Xu · Yu Rong · Yatao Bian · Junzhou Huang · Ran He
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Neural Synthesis of Binaural Speech From Mono Audio
Alexander Richard · Dejan Markovic · Israel Gebru · Steven Krenn · Gladstone A Butler · Fernando Torre · Yaser Sheikh
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks
Sergei Ivanov · Liudmila Prokhorenkova
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Differentiable Trust Region Layers for Deep Reinforcement Learning
Fabian Otto · Philipp Becker · Vien A Ngo · Hanna Ziesche · Gerhard Neumann
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control
Vitaly Kurin · Maximilian Igl · Tim Rocktaeschel · Wendelin Boehmer · Shimon Whiteson
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Theoretical bounds on estimation error for meta-learning
James Lucas · Mengye Ren · Irene Raissa KAMENI KAMENI · Toniann Pitassi · Richard Zemel
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Creative Sketch Generation
Songwei Ge · Vedanuj Goswami · Larry Zitnick · Devi Parikh
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
For self-supervised learning, Rationality implies generalization, provably
Yamini Bansal · Gal Kaplun · Boaz Barak
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Exploring the Uncertainty Properties of Neural Networks’ Implicit Priors in the Infinite-Width Limit
Ben Adlam · Jaehoon Lee · Lechao Xiao · Jeffrey Pennington · Jasper Snoek
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
Cassidy Laidlaw · Sahil Singla · Soheil Feizi
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking
Michael Schlichtkrull · Nicola De Cao · Ivan Titov
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Human-Level Performance in No-Press Diplomacy via Equilibrium Search
Jonathan Gray · Adam Lerer · Anton Bakhtin · Noam Brown
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Learning Mesh-Based Simulation with Graph Networks
Tobias Pfaff · Meire Fortunato · Alvaro Sanchez Gonzalez · Peter Battaglia
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration
Xavier Puig · Tianmin Shu · Shuang Li · Zilin Wang · Yuan-Hong Liao · Joshua B Tenenbaum · Sanja Fidler · Antonio Torralba
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Sharpness-aware Minimization for Efficiently Improving Generalization
Pierre Foret · Ariel Kleiner · Hossein Mobahi · Behnam Neyshabur
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Generative Time-series Modeling with Fourier Flows
Ahmed Alaa · Alex Chan · Mihaela van der Schaar
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Mastering Atari with Discrete World Models
Danijar Hafner · Timothy Lillicrap · Mohammad Norouzi · Jimmy Ba
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
How Does Mixup Help With Robustness and Generalization?
Linjun Zhang · Zhun Deng · Kenji Kawaguchi · Amirata Ghorbani · James Zou
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning to Represent Action Values as a Hypergraph on the Action Vertices
Arash Tavakoli · Mehdi Fatemi · Petar Kormushev
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
RODE: Learning Roles to Decompose Multi-Agent Tasks
Tonghan Wang · Tarun Gupta · Anuj Mahajan · Bei Peng · Shimon Whiteson · Chongjie Zhang
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Property Controllable Variational Autoencoder via Invertible Mutual Dependence
Xiaojie Guo · Yuanqi Du · Liang Zhao
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization
Alexander Korotin · Lingxiao Li · Justin Solomon · Evgeny Burnaev
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
SEED: Self-supervised Distillation For Visual Representation
Zhiyuan Fang · Jianfeng Wang · Lijuan Wang · Lei Zhang · 'YZ' Yezhou Yang · Zicheng Liu
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Unsupervised Audiovisual Synthesis via Exemplar Autoencoders
Kangle Deng · Aayush Bansal · Deva Ramanan
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Learning Generalizable Visual Representations via Interactive Gameplay
Luca Weihs · Aniruddha Kembhavi · Kiana Ehsani · Sarah M Pratt · Winson Han · Alvaro Herrasti · Eric Kolve · Dustin Schwenk · Roozbeh Mottaghi · Ali Farhadi
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning
Valerie Chen · Abhinav Gupta · Kenneth Marino
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Long-tail learning via logit adjustment
Aditya Krishna Menon · Sadeep Jayasumana · Ankit Singh Rawat · Himanshu Jain · Andreas Veit · Sanjiv Kumar
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms
Maruan Al-Shedivat · Jennifer Gillenwater · Eric P Xing · Afshin Rostamizadeh
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
Xiangxiang Chu · Victor Wang · Bo Zhang · Shun Lu · Xiaolin Wei · Junchi Yan
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Geometry-Aware Gradient Algorithms for Neural Architecture Search
Liam Li · Mikhail Khodak · Nina Balcan · Ameet Talwalkar
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients
Brenden Petersen · Mikel Landajuela Larma · Terrell N Mundhenk · Claudio Santiago · Soo Kim · Joanne Kim
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
On the Bottleneck of Graph Neural Networks and its Practical Implications
Uri Alon · Eran Yahav
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Optimism in Reinforcement Learning with Generalized Linear Function Approximation
Yining Wang · Ruosong Wang · Simon Du · Akshay Krishnamurthy
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Probabilistic Numeric Convolutional Neural Networks
Marc Finzi · Roberto Bondesan · Max Welling
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
HyperGrid Transformers: Towards A Single Model for Multiple Tasks
Yi Tay · Zhe Zhao · Dara Bahri · Donald Metzler · Da-Cheng Juan
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Entropic gradient descent algorithms and wide flat minima
Fabrizio Pittorino · Carlo Lucibello · Christoph Feinauer · Gabriele Perugini · Carlo Baldassi · Elizaveta Demyanenko · Riccardo Zecchina
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF
Atanas Mirchev · Baris Kayalibay · Patrick van der Smagt · Justin Bayer
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
A Gradient Flow Framework For Analyzing Network Pruning
Ekdeep Singh Lubana · Robert Dick
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Multiplicative Filter Networks
Rizal Fathony · Anit Kumar Sahu · Devin Willmott · Zico Kolter
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks
Robert Csordas · Sjoerd van Steenkiste · Jürgen Schmidhuber
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Few-Shot Bayesian Optimization with Deep Kernel Surrogates
Martin Wistuba · Josif Grabocka
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Unbiased Teacher for Semi-Supervised Object Detection
Yen-Cheng Liu · Chih-Yao Ma · Zijian He · Chia-Wen Kuo · Kan Chen · Peizhao Zhang · Bichen Wu · Zsolt Kira · Peter Vajda
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning
Elan Markowitz · Keshav Balasubramanian · Mehrnoosh Mirtaheri · Sami Abu-El-Haija · Bryan Perozzi · Greg Ver Steeg · Aram Galstyan
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning advanced mathematical computations from examples
François Charton · Amaury Hayat · Guillaume Lample
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Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
You Only Need Adversarial Supervision for Semantic Image Synthesis
Edgar Schoenfeld · Vadim Sushko · Dan Zhang · Juergen Gall · Bernt Schiele · Anna Khoreva
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