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The 2021 schedule is still incomplete
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Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
UMEC: Unified model and embedding compression for efficient recommendation systems
In Poster Session 05
Jiayi Shen · Haotao Wang · Shupeng Gui · Jianchao Tan · Zhangyang Wang · Ji Liu
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Statistical inference for individual fairness
In Poster Session 05
Subha Maity · Songkai Xue · Mikhail Yurochkin · Yuekai Sun
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Taming GANs with Lookahead-Minmax
In Poster Session 05
Tatjana Chavdarova · Matteo Pagliardini · Sebastian Stich · François Fleuret · Martin Jaggi
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
Representation Learning via Invariant Causal Mechanisms
In Poster Session 05
Jovana Mitrovic · Brian McWilliams · Jacob C Walker · Lars Buesing · Charles Blundell
[ Slides] 
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
Quantifying Differences in Reward Functions
In Poster Session 05
Adam Gleave · Michael Dennis · Shane Legg · Stuart Russell · Jan Leike
[ Slides] 
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs
In Poster Session 05
Jonathan Frankle · David J Schwab · Ari Morcos
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
In Poster Session 05
Beliz Gunel · Jingfei Du · Alexis Conneau · Veselin Stoyanov
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Decoupling Global and Local Representations via Invertible Generative Flows
In Poster Session 05
Xuezhe Ma · Xiang Kong · Shanghang Zhang · Eduard H Hovy
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Mapping the Timescale Organization of Neural Language Models
In Poster Session 05
Hsiang-Yun Sherry Chien · Jinhan Zhang · Christopher Honey
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
Recurrent Independent Mechanisms
In Poster Session 05
Anirudh Goyal · Alex Lamb · Jordan Hoffmann · Shagun Sodhani · Sergey Levine · Yoshua Bengio · Bernhard Schoelkopf
[ Slides] 
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Understanding Over-parameterization in Generative Adversarial Networks
In Poster Session 05
Yogesh Balaji · Mohammadmahdi Sajedi · Neha Kalibhat · Mucong Ding · Dominik Stöger · Mahdi Soltanolkotabi · Soheil Feizi
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Tradeoffs in Data Augmentation: An Empirical Study
In Poster Session 05
Raphael Gontijo Lopes · Sylvia Smullin · Ekin Cubuk · Ethan Dyer
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
Shape or Texture: Understanding Discriminative Features in CNNs
In Poster Session 05
Md Amirul Islam · Matthew Kowal · Patrick Esser · Sen Jia · Björn Ommer · Kosta Derpanis · Neil Bruce
[ Slides] 
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
C-Learning: Horizon-Aware Cumulative Accessibility Estimation
In Poster Session 05
Panteha Naderian · Gabriel Loaiza-Ganem · Harry Braviner · Anthony Caterini · Jesse C Cresswell · Tong Li · Animesh Garg
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
DINO: A Conditional Energy-Based GAN for Domain Translation
In Poster Session 05
Konstantinos Vougioukas · Stavros Petridis · Maja Pantic
[ Slides] 
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
On the Origin of Implicit Regularization in Stochastic Gradient Descent
In Poster Session 05
Samuel Smith · Benoit Dherin · David Barrett · Soham De
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Transient Non-stationarity and Generalisation in Deep Reinforcement Learning
In Poster Session 05
Maximilian Igl · Gregory Farquhar · Jelena Luketina · Wendelin Boehmer · Shimon Whiteson
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Scalable Bayesian Inverse Reinforcement Learning
In Poster Session 05
Alex Chan · Mihaela van der Schaar
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Learning from Protein Structure with Geometric Vector Perceptrons
In Poster Session 05
Bowen Jing · Stephan Eismann · Patricia Suriana · Raphael J Townshend · Ron Dror
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Reinforcement Learning with Random Delays
In Poster Session 05
Yann Bouteiller · Simon Ramstedt · Giovanni Beltrame · Chris J Pal · Jonathan Binas
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-end Learning and Control
In Poster Session 05
Ioannis Exarchos · Marcus A Pereira · Ziyi Wang · Evangelos Theodorou
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
In Poster Session 05
Bingchen Liu · Yizhe Zhu · Kunpeng Song · Ahmed Elgammal
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments
In Poster Session 05
Glen Berseth · Daniel Geng · Coline M Devin · Nicholas Rhinehart · Chelsea Finn · Dinesh Jayaraman · Sergey Levine
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
On the mapping between Hopfield networks and Restricted Boltzmann Machines
In Poster Session 05
Matthew Smart · Anton Zilman
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Distance-Based Regularisation of Deep Networks for Fine-Tuning
In Poster Session 05
Henry Gouk · Timothy Hospedales · massimiliano pontil
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Ringing ReLUs: Harmonic Distortion Analysis of Nonlinear Feedforward Networks
In Poster Session 05
Christian Ali Mehmeti-Göpel · David Hartmann · Michael Wand
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Characterizing signal propagation to close the performance gap in unnormalized ResNets
In Poster Session 05
Andrew Brock · Soham De · Samuel Smith
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Uncertainty-aware Active Learning for Optimal Bayesian Classifier
In Poster Session 05
Guang Zhao · Edward Dougherty · Byung-Jun Yoon · Francis Alexander · Xiaoning Qian
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
Unsupervised Object Keypoint Learning using Local Spatial Predictability
In Poster Session 05
Anand Gopalakrishnan · Sjoerd van Steenkiste · Jürgen Schmidhuber
[ Slides] 
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Transformer protein language models are unsupervised structure learners
In Poster Session 05
Roshan Rao · Joshua Meier · Tom Sercu · Sergey Ovchinnikov · Alexander Rives
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Uncertainty Estimation in Autoregressive Structured Prediction
In Poster Session 05
Andrey Malinin · Mark Gales
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Learning a Latent Search Space for Routing Problems using Variational Autoencoders
In Poster Session 05
André Hottung · Bhanu Bhandari · Kevin Tierney
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Support-set bottlenecks for video-text representation learning
In Poster Session 05
Mandela Patrick · Po-Yao Huang · Yuki Asano · Florian Metze · Alexander G Hauptmann · Joao F. Henriques · Andrea Vedaldi
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
How Benign is Benign Overfitting ?
In Poster Session 05
Amartya Sanyal · Puneet Dokania · Varun Kanade · Philip Torr
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Self-Supervised Learning of Compressed Video Representations
In Poster Session 05
Youngjae Yu · Sangho Lee · Gunhee Kim · Yale Song
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks
In Poster Session 05
Thomas Bird · Friso Kingma · David Barber
[ Slides] 
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers
In Poster Session 05
Kenji Kawaguchi
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics
In Poster Session 05
Vinay Ramasesh · Ethan Dyer · Maithra Raghu
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
Robust Pruning at Initialization
In Poster Session 05
Soufiane Hayou · Jean-Francois Ton · Arnaud Doucet · Yee Whye Teh
[ Slides] 
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding
In Poster Session 05
Sana Tonekaboni · Danny Eytan · Anna Goldenberg
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
DC3: A learning method for optimization with hard constraints
In Poster Session 05
Priya Donti · David Rolnick · Zico Kolter
[ Slides] 
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
Direction Matters: On the Implicit Bias of Stochastic Gradient Descent with Moderate Learning Rate
In Poster Session 05
Jingfeng Wu · Difan Zou · vladimir braverman · Quanquan Gu
[ Slides] 
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Data-Efficient Reinforcement Learning with Self-Predictive Representations
In Poster Session 05
Max Schwarzer · Ankesh Anand · Rishab Goel · R Devon Hjelm · Aaron Courville · Philip Bachman
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Learning Neural Event Functions for Ordinary Differential Equations
In Poster Session 05
Tian Qi Chen · Brandon Amos · Maximilian Nickel
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Getting a CLUE: A Method for Explaining Uncertainty Estimates
In Poster Session 05
Javier Antorán · Umang Bhatt · Tameem Adel · Adrian Weller · José Miguel Hernández Lobato
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy
In Poster Session 05
Zuyue Fu · Zhuoran Yang · Zhaoran Wang
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Rethinking Attention with Performers
In Poster Session 05
Krzysztof Choromanski · Valerii Likhosherstov · David Dohan · Xingyou Song · Georgiana-Andreea Gane · Tamas Sarlos · Peter Hawkins · Jared Q Davis · Afroz Mohiuddin · Lukasz Kaiser · David Belanger · Lucy J Colwell · Adrian Weller
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Nearest Neighbor Machine Translation
In Poster Session 05
Urvashi Khandelwal · Angela Fan · Dan Jurafsky · Luke Zettlemoyer · Mike Lewis
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Physics-aware, probabilistic model order reduction with guaranteed stability
In Poster Session 05
Sebastian Kaltenbach · PS Koutsourelakis
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
Large Associative Memory Problem in Neurobiology and Machine Learning
In Poster Session 05
Dmitry Krotov · John J Hopfield
[ Slides] 
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
On the Dynamics of Training Attention Models
In Poster Session 05
Haoye Lu · Yongyi Mao · Amiya Nayak
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
SSD: A Unified Framework for Self-Supervised Outlier Detection
In Poster Session 05
Vikash Sehwag · Mung Chiang · Prateek Mittal
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
In Poster Session 05
Lee Xiong · Chenyan Xiong · Ye Li · Kwok-Fung Tang · Jialin Liu · Paul N Bennett · Junaid Ahmed · Arnold Overwijk
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments
In Poster Session 05
Daochen Zha · Wenye Ma · Lei Yuan · Xia Hu · Ji Liu
[ Slides] 
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics
In Poster Session 05
Yanchao Sun · Da Huo · Furong Huang
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Iterative Empirical Game Solving via Single Policy Best Response
In Poster Session 05
Max Smith · Thomas Anthony · Michael Wellman
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
FairBatch: Batch Selection for Model Fairness
In Poster Session 05
Yuji Roh · Kangwook Lee · Steven Whang · Changho Suh
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
Systematic generalisation with group invariant predictions
In Poster Session 05
Faruk Ahmed · Yoshua Bengio · Harm van Seijen · Aaron Courville
[ Slides] 
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
Are wider nets better given the same number of parameters?
In Poster Session 05
Anna Golubeva · Guy Gur-Ari · Behnam Neyshabur
[ Slides] 
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models
In Poster Session 05
Zhisheng Xiao · Karsten Kreis · Jan Kautz · Arash Vahdat
[ Slides] 
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Fair Mixup: Fairness via Interpolation
In Poster Session 05
Ching-Yao Chuang · Youssef Mroueh
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Meta-learning Symmetries by Reparameterization
In Poster Session 05
Allan Zhou · Tom Knowles · Chelsea Finn
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
The geometry of integration in text classification RNNs
In Poster Session 05
Kyle Aitken · Vinay Ramasesh · Ankush Garg · Yuan Cao · David Sussillo · Niru Maheswaranathan
[ Slides] 
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Discovering a set of policies for the worst case reward
In Poster Session 05
Tom Zahavy · Andre Barreto · Daniel J Mankowitz · Shaobo Hou · Brendan ODonoghue · Iurii Kemaev · Satinder Singh
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Teaching with Commentaries
In Poster Session 05
Aniruddh Raghu · Maithra Raghu · Simon Kornblith · David Duvenaud · Geoffrey Hinton
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Learning Robust State Abstractions for Hidden-Parameter Block MDPs
In Poster Session 05
Amy Zhang · Shagun Sodhani · Khimya Khetarpal · Joelle Pineau
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Learning Value Functions in Deep Policy Gradients using Residual Variance
In Poster Session 05
Yannis Flet-Berliac · reda ouhamma · odalric-ambrym maillard · philippe preux
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
VTNet: Visual Transformer Network for Object Goal Navigation
In Poster Session 05
Heming Du · Xin Yu · Liang Zheng
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime
In Poster Session 05
Andrea Agazzi · Jianfeng Lu
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Provable Rich Observation Reinforcement Learning with Combinatorial Latent States
In Poster Session 05
Dipendra Kumar Misra · Qinghua Liu · Chi Jin · John Langford
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning
In Poster Session 05
Zhiyuan Li · Yuping Luo · Kaifeng Lyu
[ Slides] 
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
Sharper Generalization Bounds for Learning with Gradient-dominated Objective Functions
In Poster Session 05
Yunwen Lei · Yiming Ying
[ Slides] 
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
Tent: Fully Test-Time Adaptation by Entropy Minimization
In Poster Session 05
Dequan Wang · Evan Shelhamer · Shaoteng Liu · Bruno Olshausen · trevor darrell
[ Slides] 
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
Text Generation by Learning from Demonstrations
In Poster Session 05
Richard Yuanzhe Pang · He He
[ Slides] 
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues
In Poster Session 05
Rishabh Joshi · Vidhisha Balachandran · Shikhar Vashishth · Alan Black · Yulia Tsvetkov
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Auction Learning as a Two-Player Game
In Poster Session 05
Jad Rahme · Samy Jelassi · S. M Weinberg
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Interpreting Knowledge Graph Relation Representation from Word Embeddings
In Poster Session 05
Carl Allen · Ivana Balazevic · Timothy Hospedales
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Clairvoyance: A Pipeline Toolkit for Medical Time Series
In Poster Session 05
Daniel Jarrett · Jinsung Yoon · Ioana Bica · Zhaozhi Qian · Ari Ercole · Mihaela van der Schaar
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Learning Parametrised Graph Shift Operators
In Poster Session 05
George Dasoulas · Johannes Lutzeyer · Michalis Vazirgiannis
[ Paper ]