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The 2021 schedule is still incomplete
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Remarks
Mon May 03 12:00 AM -- 01:00 AM (PDT)
Opening Remarks
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
Domain Generalization with MixStyle
Kaiyang Zhou · Yongxin Yang · Yu Qiao · Tao Xiang
[ Slides
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
Wasserstein-2 Generative Networks
Alexander Korotin · Vage Egiazarian · Arip Asadulaev · Alexander Safin · Evgeny Burnaev
[ Slides
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Batch Reinforcement Learning Through Continuation Method
Yijie Guo · Shengyu Feng · Nicolas Le Roux · Ed H. Chi · Honglak Lee · Minmin Chen
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Neural Approximate Sufficient Statistics for Implicit Models
Yanzhi Chen · Dinghuai Zhang · Michael U Gutmann · Aaron Courville · Zhanxing Zhu
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Spatially Structured Recurrent Modules
Nasim Rahaman · Anirudh Goyal · Muhammad Waleed Gondal · Manuel Wuthrich · Stefan Bauer · Yash Sharma · Yoshua Bengio · Bernhard Schoelkopf
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
Neural Jump Ordinary Differential Equations: Consistent Continuous-Time Prediction and Filtering
Calypso Herrera · Florian Krach · Josef Teichmann
[ Slides
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Stabilized Medical Image Attacks
Gege Qi · Lijun GONG · Yibing Song · Kai Ma · Yefeng Zheng
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
QPLEX: Duplex Dueling Multi-Agent Q-Learning
Jianhao Wang · Zhizhou Ren · Terry Liu · Yang Yu · Chongjie Zhang
[ Slides
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
Mutual Information State Intrinsic Control
Rui Zhao · Yang Gao · Pieter Abbeel · Volker Tresp · Wei Xu
[ Slides
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Interpreting and Boosting Dropout from a Game-Theoretic View
Hao Zhang · Sen Li · YinChao Ma · Mingjie Li · Yichen Xie · Quanshi Zhang
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs
Cheng Wang · Carolin Lawrence · Mathias Niepert
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
Does enhanced shape bias improve neural network robustness to common corruptions?
Chaithanya Kumar Mummadi · Ranjitha Subramaniam · Robin Hutmacher · Julien Vitay · Volker Fischer · Jan Hendrik Metzen
[ Slides
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
SALD: Sign Agnostic Learning with Derivatives
Matan Atzmon · Yaron Lipman
[ Slides
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Temporally-Extended ε-Greedy Exploration
Will Dabney · Georg Ostrovski · Andre Barreto
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning
Nanyi Fei · Zhiwu Lu · Tao Xiang · Songfang Huang
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Training with Quantization Noise for Extreme Model Compression
Pierre Stock · Angela Fan · Benjamin Graham · Edouard Grave · Rémi Gribonval · Hervé Jégou · Armand Joulin
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data
Francesco Tonolini · Pablo Garcia Moreno · Andreas Damianou · Roderick Murray-Smith
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Solving Compositional Reinforcement Learning Problems via Task Reduction
Yunfei Li · Yilin Wu · Huazhe Xu · Xiaolong Wang · Yi Wu
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
Isometric Transformation Invariant and Equivariant Graph Convolutional Networks
Masanobu Horie · Naoki Morita · Toshiaki Hishinuma · Yu Ihara · Naoto Mitsume
[ Slides
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Overfitting for Fun and Profit: Instance-Adaptive Data Compression
Ties van Rozendaal · Iris Huijben · Taco Cohen
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach
Malik Tiomoko · Hafiz Tiomoko Ali · Romain Couillet
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
MetaNorm: Learning to Normalize Few-Shot Batches Across Domains
Yingjun Du · Xiantong Zhen · Ling Shao · Cees G Snoek
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
Wasserstein Embedding for Graph Learning
Soheil Kolouri · Navid Naderializadeh · Gustavo K Rohde · Heiko Hoffmann
[ Slides
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch
Aojun Zhou · Yukun Ma · Junnan Zhu · Jianbo Liu · Zhijie Zhang · Kun Yuan · Wenxiu Sun · Hongsheng Li
[ Slides
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits
Jiawang Bai · Baoyuan Wu · Yong Zhang · Yiming Li · Zhifeng Li · Shu-Tao Xia
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
LEAF: A Learnable Frontend for Audio Classification
Neil Zeghidour · Olivier Teboul · Félix de Chaumont Quitry · Marco Tagliasacchi
[ Slides
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
Pim De Haan · Maurice Weiler · Taco Cohen · Max Welling
[ Slides
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
Towards Robust Neural Networks via Close-loop Control
Zhuotong Chen · Qianxiao Li · Zheng Zhang
[ Slides
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
Randomized Ensembled Double Q-Learning: Learning Fast Without a Model
Xinyue Chen · Che Wang · Zijian Zhou · Keith Ross
[ Slides
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Towards Robustness Against Natural Language Word Substitutions
Xinshuai Dong · Anh Tuan Luu · Rongrong Ji · Hong Liu
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
On Learning Universal Representations Across Languages
Xiangpeng Wei · Rongxiang Weng · Yue Hu · Luxi Xing · Heng Yu · Weihua Luo
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Predicting Infectiousness for Proactive Contact Tracing
Yoshua Bengio · Prateek Gupta · Tegan Maharaj · Nasim Rahaman · Martin Weiss · Tristan Deleu · Eilif B Muller · Meng Qu · victor schmidt · Pierre-luc St-charles · hannah alsdurf · Olexa Bilaniuk · david buckeridge · Gaétan Marceau Caron · pierre carrier · Joumana Ghosn · satya gagne · Chris J Pal · Irina Rish · Bernhard Schoelkopf · abhinav sharma · Jian Tang · Andrew Williams
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Improve Object Detection with Feature-based Knowledge Distillation: Towards Accurate and Efficient Detectors
Linfeng Zhang · Kaisheng Ma
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
On InstaHide, Phase Retrieval, and Sparse Matrix Factorization
Sitan Chen · Xiaoxiao Li · Zhao Song · Danyang Zhuo
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
A Unified Approach to Interpreting and Boosting Adversarial Transferability
Xin Wang · Jie Ren · Shuyun Lin · Xiangming Zhu · Yisen Wang · Quanshi Zhang
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Trusted Multi-View Classification
Zongbo Han · Changqing Zhang · Huazhu FU · Joey T Zhou
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
ResNet After All: Neural ODEs and Their Numerical Solution
Katharina Ott · Prateek Katiyar · Philipp Hennig · Michael Tiemann
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Towards Impartial Multi-task Learning
Liyang Liu · Yi Li · Zhanghui Kuang · Jing-Hao Xue · Yimin Chen · Wenming Yang · Qingmin Liao · Wei Zhang
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space
Tsz Him Cheung · Dit-Yan Yeung
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Parameter-Based Value Functions
Francesco Faccio · Louis Kirsch · Jürgen Schmidhuber
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets
Hayeon Lee · Eunyoung Hyung · Sung Ju Hwang
[ Slides
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
A Good Image Generator Is What You Need for High-Resolution Video Synthesis
Yu Tian · Jian Ren · Menglei Chai · Kyle Olszewski · Xi Peng · Dimitris Metaxas · Sergey Tulyakov
[ Slides
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Revisiting Locally Supervised Learning: an Alternative to End-to-end Training
Yulin Wang · Zanlin Ni · Shiji Song · Le Yang · Gao Huang
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning
Dong Bok Lee · Dongchan Min · Seanie Lee · Sung Ju Hwang
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
Hehe Fan · Xin Yu · Yuhang Ding · Yi Yang · Mohan Kankanhalli
[ Slides
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
WaNet - Imperceptible Warping-based Backdoor Attack
Tuan Anh Nguyen · Anh T Tran
[ Slides
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
What Makes Instance Discrimination Good for Transfer Learning?
Nanxuan Zhao · Zhirong Wu · Rynson W Lau · Stephen Lin
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
On the Transfer of Disentangled Representations in Realistic Settings
Andrea Dittadi · Frederik Träuble · Francesco Locatello · Manuel Wuthrich · Vaibhav Agrawal · Ole Winther · Stefan Bauer · Bernhard Schoelkopf
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
Implicit Normalizing Flows
Cheng Lu · Jianfei Chen · Chongxuan Li · Qiuhao Wang · Jun Zhu
[ Slides
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods
Louis THIRY · Michael Arbel · Eugene Belilovsky · Edouard Oyallon
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Set Prediction without Imposing Structure as Conditional Density Estimation
David Zhang · Gertjan J Burghouts · Cees G Snoek
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
Progressive Skeletonization: Trimming more fat from a network at initialization
Pau de Jorge Aranda · Amartya Sanyal · Harkirat Singh Behl · Philip Torr · Grégory Rogez · Puneet Dokania
[ Slides
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Scalable Transfer Learning with Expert Models
Joan Puigcerver i Perez · Carlos Riquelme · Basil Mustafa · Cedric Renggli · André Susano Pinto · Sylvain Gelly · Daniel Keysers · Neil Houlsby
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders
Pengyu Cheng · Weituo Hao · Siyang Yuan · Shijing Si · Lawrence Carin
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Noise against noise: stochastic label noise helps combat inherent label noise
Pengfei Chen · Guangyong Chen · Junjie Ye · jingwei zhao · Pheng-Ann Heng
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization
A F M Shahab Uddin · Mst. Sirazam Monira · Wheemyung Shin · TaeChoong Chung · Sung-Ho Bae
[ Slides
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Exploring Balanced Feature Spaces for Representation Learning
Bingyi Kang · Yu Li · Sain Xie · Zehuan Yuan · Jiashi Feng
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU
Patrick Kidger · Terry Lyons
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
On the Universality of the Double Descent Peak in Ridgeless Regression
David Holzmüller
[ Slides
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
Rethinking the Role of Gradient-based Attribution Methods for Model Interpretability
Suraj Srinivas · François Fleuret
[ Slides
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Semantic Re-tuning with Contrastive Tension
Fredrik Carlsson · Amaru C Gyllensten · Evangelia Gogoulou · Erik Y Hellqvist · Magnus Sahlgren
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study
Zhiqiang Shen · Zhiqiang Shen · Dejia Xu · Zitian Chen · Kwang-Ting Cheng · Marios Savvides
[ Paper ]
Oral
Mon May 03 03:00 AM -- 03:15 AM (PDT)
Dataset Condensation with Gradient Matching
Bo ZHAO · Konda Reddy Mopuri · Hakan Bilen
[ Paper ]
Oral
Mon May 03 03:15 AM -- 03:30 AM (PDT)
Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang · Lu Liu · Min Xu
[ Paper ]
Spotlight
Mon May 03 03:30 AM -- 03:40 AM (PDT)
Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach
Malik Tiomoko · Hafiz Tiomoko Ali · Romain Couillet
[ Paper ]
Spotlight
Mon May 03 03:40 AM -- 03:50 AM (PDT)
Generalization in data-driven models of primary visual cortex
Konstantin-Klemens Lurz · Mohammad Bashiri · Konstantin Willeke · Akshay Jagadish · Eric Wang · Edgar Walker · Santiago Cadena · Taliah Muhammad · Erick M Cobos · Andreas Tolias · Alexander S Ecker · Fabian Sinz
[ Paper ]
Q&A
Mon May 03 03:50 AM -- 04:00 AM (PDT)
Q&A
Oral
Mon May 03 04:00 AM -- 04:15 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 ]
Oral
Mon May 03 04:15 AM -- 04:30 AM (PDT)
A Distributional Approach to Controlled Text Generation
Muhammad Khalifa · Hady Elsahar · Marc Dymetman
[ Paper ]
Spotlight
Mon May 03 04:30 AM -- 04:40 AM (PDT)
The Intrinsic Dimension of Images and Its Impact on Learning
Phil Pope · Chen Zhu · Ahmed Abdelkader · Micah Goldblum · Tom Goldstein
[ Paper ]
Spotlight
Mon May 03 04:40 AM -- 04:50 AM (PDT)
How Benign is Benign Overfitting ?
Amartya Sanyal · Puneet Dokania · Varun Kanade · Philip Torr
[ Paper ]
Q&A
Mon May 03 04:50 AM -- 05:00 AM (PDT)
Q&A
Oral
Mon May 03 05:00 AM -- 05:15 AM (PDT)
Geometry-aware Instance-reweighted Adversarial Training
Jingfeng Zhang · Jianing ZHU · Gang Niu · Bo Han · Masashi Sugiyama · Mohan Kankanhalli
[ Paper ]
Oral
Mon May 03 05:15 AM -- 05:30 AM (PDT)
Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs
Xingang Pan · Bo DAI · Ziwei Liu · Chen Change Loy · Ping Luo
[ Paper ]
Oral
Mon May 03 05:30 AM -- 05:45 AM (PDT)
Rethinking the Role of Gradient-based Attribution Methods for Model Interpretability
Suraj Srinivas · François Fleuret
[ Paper ]
Spotlight
Mon May 03 05:45 AM -- 05:55 AM (PDT)
Contrastive Divergence Learning is a Time Reversal Adversarial Game
Omer Yair · Tomer Michaeli
[ Paper ]
Q&A
Mon May 03 05:55 AM -- 06:05 AM (PDT)
Q&A
Break
Mon May 03 06:15 AM -- 08:00 AM (PDT)
BREAK:
Invited Talk
Mon May 03 08:00 AM -- 09:00 AM (PDT) @ Virtual
Moving beyond the fairness rhetoric in machine learning
Timnit Gebru
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
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
[ 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) @ 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)
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)
Predicting Classification Accuracy When Adding New Unobserved Classes
Yuli Slavutsky · Yuval Benjamini
[ 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 ]
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)
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)
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) @ Virtual
Shape-Texture Debiased Neural Network Training
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)
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)
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)
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) @ Virtual
Multi-Time Attention Networks for Irregularly Sampled Time Series
Satya Narayan Shukla · Benjamin M Marlin
[ Slides
[ 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)
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) @ Virtual
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines
Marius Mosbach · Maksym Andriushchenko · Dietrich Klakow
[ Slides
[ Paper ]
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)
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) @ Virtual
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings
Elliot Meyerson · Risto Miikkulainen
[ Slides
[ 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
[ Slides
[ Paper ]
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
Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks
Ingmar Schubert · Ozgur Oguz · Marc Toussaint
[ Slides
[ 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
Single-Photon Image Classification
Thomas Fischbacher · Luciano Sbaiz
[ Slides
[ 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)
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)
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) @ Virtual
Training GANs with Stronger Augmentations via Contrastive Discriminator
Jongheon Jeong · Jinwoo Shin
[ 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)
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) @ Virtual
Language-Agnostic Representation Learning of Source Code from Structure and Context
Daniel Zügner · Tobias Kirschstein · Michele Catasta · Jure Leskovec · Stephan Günnemann
[ Slides
[ 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)
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
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)
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) @ Virtual
Overparameterisation and worst-case generalisation: friend or foe?
Aditya Krishna Menon · Ankit Singh Rawat · Sanjiv Kumar
[ Slides
[ 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)
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)
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)
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)
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)
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 Hyperbolic Representations of Topological Features
Panagiotis Kyriakis · Iordanis Fostiropoulos · Paul Bogdan
[ 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)
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)
LiftPool: Bidirectional ConvNet Pooling
Jiaojiao Zhao · Cees G Snoek
[ 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) @ 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
[ Slides
[ Paper ]
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)
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)
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) @ Virtual
The role of Disentanglement in Generalisation
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)
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)
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)
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) @ Virtual
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Denis Yarats · Ilya Kostrikov · Rob Fergus
[ Slides
[ Paper ]
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
Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation
Biao Zhang · Ankur Bapna · Rico Sennrich · Orhan Firat
[ Slides
[ 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)
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) @ Virtual
Learning Structural Edits via Incremental Tree Transformations
Ziyu Yao · Frank F Xu · Pengcheng Yin · Huan Sun · Graham Neubig
[ Slides
[ 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)
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) @ Virtual
Self-Supervised Policy Adaptation during Deployment
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)
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)
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)
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)
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)
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)
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) @ Virtual
The Risks of Invariant Risk Minimization
Elan Rosenfeld · Pradeep K Ravikumar · Andrej Risteski
[ Slides
[ 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) @ Virtual
PAC Confidence Predictions for Deep Neural Network Classifiers
Sangdon Park · Shuo Li · Insup Lee · Osbert Bastani
[ Slides
[ 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)
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)
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)
Gradient Projection Memory for Continual Learning
Gobinda Saha · Isha Garg · Kaushik Roy
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
LambdaNetworks: Modeling long-range Interactions without Attention
Irwan Bello
[ Paper ]
Oral
Mon May 03 11:00 AM -- 11:15 AM (PDT)
Federated Learning Based on Dynamic Regularization
Durmus Alp Emre Acar · Yue Zhao · Ramon Matas · Matthew Mattina · Paul Whatmough · Venkatesh Saligrama
[ Paper ]
Oral
Mon May 03 11:15 AM -- 11:30 AM (PDT)
Gradient Projection Memory for Continual Learning
Gobinda Saha · Isha Garg · Kaushik Roy
[ Paper ]
Oral
Mon May 03 11:30 AM -- 11:45 AM (PDT)
Growing Efficient Deep Networks by Structured Continuous Sparsification
Xin Yuan · Pedro Savarese · Michael Maire
[ Paper ]
Spotlight
Mon May 03 11:45 AM -- 11:55 AM (PDT)
Geometry-Aware Gradient Algorithms for Neural Architecture Search
Liam Li · Mikhail Khodak · Nina Balcan · Ameet Talwalkar
[ Paper ]
Q&A
Mon May 03 11:55 AM -- 12:05 PM (PDT)
Q&A
Spotlight
Mon May 03 12:05 PM -- 12:15 PM (PDT)
Generalization bounds via distillation
Daniel Hsu · Ziwei Ji · Matus Telgarsky · Lan Wang
[ Paper ]
Spotlight
Mon May 03 12:15 PM -- 12:25 PM (PDT)
On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers
Kenji Kawaguchi
[ Paper ]
Spotlight
Mon May 03 12:25 PM -- 12:35 PM (PDT)
Sharpness-aware Minimization for Efficiently Improving Generalization
Pierre Foret · Ariel Kleiner · Hossein Mobahi · Behnam Neyshabur
[ Paper ]
Spotlight
Mon May 03 12:35 PM -- 12:45 PM (PDT)
Systematic generalisation with group invariant predictions
Faruk Ahmed · Yoshua Bengio · Harm van Seijen · Aaron Courville
[ Paper ]
Spotlight
Mon May 03 12:45 PM -- 12:55 PM (PDT)
On Statistical Bias In Active Learning: How and When to Fix It
Sebastian Farquhar · Yarin Gal · Tom Rainforth
[ Paper ]
Spotlight
Mon May 03 12:55 PM -- 01:05 PM (PDT)
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
Rewon Child
[ Paper ]
Q&A
Mon May 03 01:05 PM -- 01:20 PM (PDT)
Q&A
Spotlight
Mon May 03 01:20 PM -- 01:30 PM (PDT)
Uncertainty Sets for Image Classifiers using Conformal Prediction
Anastasios Angelopoulos · Stephen Bates · Michael Jordan · Jitendra Malik
[ Paper ]
Spotlight
Mon May 03 01:30 PM -- 01:40 PM (PDT)
PMI-Masking: Principled masking of correlated spans
Yoav Levine · Barak Lenz · Opher Lieber · Omri Abend · Kevin Leyton-Brown · Moshe Tennenholtz · Yoav Shoham
[ Paper ]
Spotlight
Mon May 03 01:40 PM -- 01:50 PM (PDT)
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models
Zirui Wang · Yulia Tsvetkov · Orhan Firat · Yuan Cao
[ Paper ]
Spotlight
Mon May 03 01:50 PM -- 02:00 PM (PDT)
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
[ Paper ]
Spotlight
Mon May 03 02:00 PM -- 02:10 PM (PDT)
Predicting Infectiousness for Proactive Contact Tracing
Yoshua Bengio · Prateek Gupta · Tegan Maharaj · Nasim Rahaman · Martin Weiss · Tristan Deleu · Eilif B Muller · Meng Qu · victor schmidt · Pierre-luc St-charles · hannah alsdurf · Olexa Bilaniuk · david buckeridge · Gaétan Marceau Caron · pierre carrier · Joumana Ghosn · satya gagne · Chris J Pal · Irina Rish · Bernhard Schoelkopf · abhinav sharma · Jian Tang · Andrew Williams
[ Paper ]
Q&A
Mon May 03 02:10 PM -- 02:23 PM (PDT)
Q&A
Break
Mon May 03 02:30 PM -- 04:00 PM (PDT)
BREAK:
Invited Talk
Mon May 03 04:00 PM -- 05:00 PM (PDT) @ Virtual
Commonsense AI: Myth and Truth
Yejin Choi
[ Slides
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
The Intrinsic Dimension of Images and Its Impact on Learning
Phil Pope · Chen Zhu · Ahmed Abdelkader · Micah Goldblum · Tom Goldstein
[ Slides
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks
Yige Li · Xixiang Lyu · Nodens Koren · Lingjuan Lyu · Bo Li · Xingjun Ma
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
VA-RED$^2$: Video Adaptive Redundancy Reduction
Bowen Pan · Rameswar Panda · Camilo L Fosco · Chung-Ching Lin · Alex J Andonian · Yue Meng · Kate Saenko · Aude Oliva · Rogerio Feris
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Contextual Transformation Networks for Online Continual Learning
Quang Pham · Chenghao Liu · Doyen Sahoo · Steven HOI
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Variational Intrinsic Control Revisited
Taehwan Kwon
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing
Tao Yu · Rui Zhang · Alex Polozov · Christopher Meek · Ahmed H Awadallah
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control
Zhuang Liu · Xuanlin Li · Bingyi Kang · trevor darrell
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
Learning Energy-Based Models by Diffusion Recovery Likelihood
Ruiqi Gao · Yang Song · Ben Poole · Yingnian Wu · Durk Kingma
[ Slides
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry
Ziyi Chen · Yi Zhou · Tengyu Xu · Yingbin Liang
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
On the geometry of generalization and memorization in deep neural networks
Cory Stephenson · Suchismita Padhy · Abhinav Ganesh · Yue Hui · Hanlin Tang · SueYeon Chung
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
DeLighT: Deep and Light-weight Transformer
Sachin Mehta · Marjan Ghazvininejad · Srini Iyer · Luke Zettlemoyer · Hannaneh Hajishirzi
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary
Huan Zhang · Hongge Chen · Duane S Boning · Cho-Jui Hsieh
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
MALI: A memory efficient and reverse accurate integrator for Neural ODEs
Juntang Zhuang · Nicha C Dvornek · sekhar tatikonda · James s Duncan
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning
Avi Singh · Huihan Liu · Gaoyue Zhou · Albert Yu · Nicholas Rhinehart · Sergey Levine
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
MoPro: Webly Supervised Learning with Momentum Prototypes
Junnan Li · Caiming Xiong · Steven Hoi
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting
Sayna Ebrahimi · Suzanne Petryk · Akash Gokul · William Gan · Joseph E Gonzalez · Marcus Rohrbach · trevor darrell
[ Slides
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods
Taiji Suzuki · Akiyama Shunta
[ Slides
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
Decentralized Attribution of Generative Models
Changhoon Kim · Yi Ren · 'YZ' Yezhou Yang
[ Slides
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation
Justin Fu · Sergey Levine
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
SOLAR: Sparse Orthogonal Learned and Random Embeddings
Tharun Kumar Reddy Medini · Beidi Chen · Anshumali Shrivastava
[ Slides
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
One Network Fits All? Modular versus Monolithic Task Formulations in Neural Networks
Atish Agarwala · Abhimanyu Das · Brendan Juba · Rina Panigrahy · Vatsal Sharan · Xin Wang · Qiuyi Zhang
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
Deberta: Decoding-Enhanced Bert With Disentangled Attention
Pengcheng He · Xiaodong Liu · Jianfeng Gao · Weizhu Chen
[ Slides
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics
Zhiao Huang · Yuanming Hu · Tao Du · Siyuan Zhou · Hao Su · Joshua B Tenenbaum · Chuang Gan
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Rethinking Positional Encoding in Language Pre-training
Guolin Ke · Di He · Tie-Yan Liu
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Robust and Generalizable Visual Representation Learning via Random Convolutions
Zhenlin Xu · Deyi Liu · Junlin Yang · Colin Raffel · Marc Niethammer
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Online Adversarial Purification based on Self-supervised Learning
Changhao Shi · Chester Holtz · Gal Mishne
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
Sequential Density Ratio Estimation for Simultaneous Optimization of Speed and Accuracy
Akinori Ebihara · Taiki Miyagawa · Kazuyuki Sakurai · Hitoshi Imaoka
[ Slides
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
Robust Curriculum Learning: from clean label detection to noisy label self-correction
Tianyi Zhou · Shengjie Wang · Jeff Bilmes
[ Slides
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
Rewon Child
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song · Jascha Sohl-Dickstein · Durk Kingma · Abhishek Kumar · Stefano Ermon · Ben Poole
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Semi-supervised Keypoint Localization
Olga Moskvyak · Frederic Maire · Feras Dayoub · Mahsa Baktashmotlagh
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
SAFENet: A Secure, Accurate and Fast Neural Network Inference
Qian Lou · Yilin Shen · Hongxia Jin · Lei Jiang
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Improved Estimation of Concentration Under $\ell_p$-Norm Distance Metrics Using Half Spaces
Jack Prescott · Xiao Zhang · David Evans
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
What are the Statistical Limits of Offline RL with Linear Function Approximation?
Ruosong Wang · Dean Foster · Sham M Kakade
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Self-training For Few-shot Transfer Across Extreme Task Differences
Cheng Perng Phoo · Bharath Hariharan
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients
Jing An · Lexing Ying · Yuhua Zhu
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Tilted Empirical Risk Minimization
Tian Li · Ahmad Beirami · Maziar Sanjabi · Virginia Smith
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Taking Notes on the Fly Helps Language Pre-Training
Qiyu Wu · Chen Xing · Yatao Li · Guolin Ke · Di He · Tie-Yan Liu
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification
Yingxue Zhou · Steven Wu · Arindam Banerjee
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
Junwen Bai · Weiran Wang · Yingbo Zhou · Caiming Xiong
[ Slides
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
Random Feature Attention
Hao Peng · Nikolaos Pappas · Dani Yogatama · Roy Schwartz · Noah Smith · Lingpeng Kong
[ Slides
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
The Role of Momentum Parameters in the Optimal Convergence of Adaptive Polyak's Heavy-ball Methods
Wei Tao · sheng long · Gaowei Wu · Qing Tao
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
When Optimizing $f$-Divergence is Robust with Label Noise
Jiaheng Wei · Yang Liu
[ Slides
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
When does preconditioning help or hurt generalization?
Shun-ichi Amari · Jimmy Ba · Roger Grosse · Xuechen Li · Atsushi Nitanda · Taiji Suzuki · Denny Wu · Ji Xu
[ Slides
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Layer-adaptive Sparsity for the Magnitude-based Pruning
Jaeho Lee · Sejun Park · Sangwoo Mo · Sungsoo Ahn · Jinwoo Shin
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Explaining the Efficacy of Counterfactually Augmented Data
Divyansh Kaushik · Amrith Setlur · Eduard H Hovy · Zachary Lipton
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
WaveGrad: Estimating Gradients for Waveform Generation
Nanxin Chen · Yu Zhang · Heiga Zen · Ron Weiss · Mohammad Norouzi · William Chan
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Federated Learning Based on Dynamic Regularization
Durmus Alp Emre Acar · Yue Zhao · Ramon Matas · Matthew Mattina · Paul Whatmough · Venkatesh Saligrama
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Spatio-Temporal Graph Scattering Transform
Chao Pan · Siheng Chen · Antonio Ortega
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Undistillable: Making A Nasty Teacher That CANNOT teach students
Haoyu Ma · Tianlong Chen · Ting-Kuei Hu · Chenyu You · Xiaohui Xie · Zhangyang Wang
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning
Shauharda Khadka · Estelle Aflalo · Mattias Marder · Avrech Ben-David · Santiago Miret · Shie Mannor · Tamir Hazan · Hanlin Tang · Somdeb Majumdar
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
UPDeT: Universal Multi-agent RL via Policy Decoupling with Transformers
Siyi Hu · Fengda Zhu · Xiaojun Chang · Xiaodan Liang
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
Latent Skill Planning for Exploration and Transfer
Kevin Xie · Homanga Bharadhwaj · Danijar Hafner · Animesh Garg · Florian Shkurti
[ Slides
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
Regularized Inverse Reinforcement Learning
Wonseok Jeon · Chen-Yang Su · Paul Barde · Thang Doan · Derek Nowrouzezahrai · Joelle Pineau
[ Slides
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Meta-Learning with Neural Tangent Kernels
Yufan Zhou · Zhenyi Wang · Jiayi Xian · Changyou Chen · Jinhui Xu
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning
Tianlong Chen · Zhenyu Zhang · Sijia Liu · Shiyu Chang · Zhangyang Wang
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
Ren Wang · Kaidi Xu · Sijia Liu · Pin-Yu Chen · Tsui-Wei Weng · Chuang Gan · Meng Wang
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training
Beidi Chen · Zichang Liu · Binghui Peng · Zhaozhuo Xu · Jonathan L Li · Tri Dao · Zhao Song · Anshumali Shrivastava · Christopher Re
[ Slides
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
Yuliang Zou · Zizhao Zhang · Han Zhang · Chun-Liang Li · Xiao Bian · Jia-Bin Huang · Tomas Pfister
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
Karan Goel · Albert Gu · Yixuan Li · Christopher Re
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers
Preetum Nakkiran · Behnam Neyshabur · Hanie Sedghi
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections
Peizhao Li · Yifei Wang · Han Zhao · Pengyu Hong · Hongfu Liu
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Learning A Minimax Optimizer: A Pilot Study
Jiayi Shen · Xiaohan Chen · Howard Heaton · Tianlong Chen · Jialin Liu · Wotao Yin · Zhangyang Wang
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Personalized Federated Learning with First Order Model Optimization
Michael Zhang · Karan Sapra · Sanja Fidler · Serena Yeung · Jose M. Alvarez
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Optimal Regularization can Mitigate Double Descent
Preetum Nakkiran · Prayaag Venkat · Sham M Kakade · Tengyu Ma
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization
Rui Wang · Robin Walters · Rose Yu
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
Zero-shot Synthesis with Group-Supervised Learning
Yunhao Ge · Sami Abu-El-Haija · Gan Xin · Laurent Itti
[ Slides
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Selective Classification Can Magnify Disparities Across Groups
Erik Jones · Shiori Sagawa · Pang Wei Koh · Ananya Kumar · Percy Liang
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness
Mikhail Yurochkin · Yuekai Sun
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
MixKD: Towards Efficient Distillation of Large-scale Language Models
Kevin Liang · Weituo Hao · Dinghan Shen · Yufan Zhou · Weizhu Chen · Changyou Chen · Lawrence Carin
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Deep Partition Aggregation: Provable Defenses against General Poisoning Attacks
Alexander Levine · Soheil Feizi
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Learning a Latent Simplex in Input Sparsity Time
Ainesh Bakshi · Chiranjib Bhattacharyya · Ravi Kannan · David Woodruff · Samson Zhou
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Rethinking Architecture Selection in Differentiable NAS
Ruochen Wang · Minhao Cheng · Xiangning Chen · Xiaocheng Tang · Cho-Jui Hsieh
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Unlearnable Examples: Making Personal Data Unexploitable
Hanxun Huang · Xingjun Ma · Sarah Erfani · James Bailey · Yisen Wang
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Partitioned Learned Bloom Filters
Kapil Vaidya · Eric Knorr · Michael Mitzenmacher · Tim Kraska
[ Paper ]
Oral
Mon May 03 07:00 PM -- 07:15 PM (PDT)
SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments
Glen Berseth · Daniel Geng · Coline M Devin · Nicholas Rhinehart · Chelsea Finn · Dinesh Jayaraman · Sergey Levine
[ Paper ]
Oral
Mon May 03 07:15 PM -- 07:30 PM (PDT)
Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions
Zhengxian Lin · Kin-Ho Lam · Alan Fern
[ Paper ]
Oral
Mon May 03 07:30 PM -- 07:45 PM (PDT)
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning
Avi Singh · Huihan Liu · Gaoyue Zhou · Albert Yu · Nicholas Rhinehart · Sergey Levine
[ Paper ]
Spotlight
Mon May 03 07:45 PM -- 07:55 PM (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 ]
Spotlight
Mon May 03 07:55 PM -- 08:05 PM (PDT)
Mathematical Reasoning via Self-supervised Skip-tree Training
Markus Rabe · Dennis Lee · Kshitij Bansal · Christian Szegedy
[ Paper ]
Q&A
Mon May 03 08:05 PM -- 08:18 PM (PDT)
Q&A
Spotlight
Mon May 03 08:18 PM -- 08:28 PM (PDT)
Improving Adversarial Robustness via Channel-wise Activation Suppressing
Yang Bai · Yuyuan Zeng · Yong Jiang · Shu-Tao Xia · Xingjun Ma · Yisen Wang
[ Paper ]
Spotlight
Mon May 03 08:28 PM -- 08:38 PM (PDT)
Fast Geometric Projections for Local Robustness Certification
Aymeric Fromherz · Klas Leino · Matt Fredrikson · Bryan Parno · Corina Pasareanu
[ Paper ]
Spotlight
Mon May 03 08:38 PM -- 08:48 PM (PDT)
Information Laundering for Model Privacy
Xinran Wang · Yu Xiang · Jun Gao · Jie Ding
[ Paper ]
Spotlight
Mon May 03 08:48 PM -- 08:58 PM (PDT)
Dataset Inference: Ownership Resolution in Machine Learning
Pratyush Maini · Mohammad Yaghini · Nicolas Papernot
[ Paper ]
Spotlight
Mon May 03 08:58 PM -- 09:08 PM (PDT)
HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark
Chaojian Li · Zhongzhi Yu · Yonggan Fu · Yongan Zhang · Yang Zhao · Haoran You · Qixuan Yu · Yue Wang · Cong Hao · Yingyan Lin
[ Paper ]
Q&A
Mon May 03 09:08 PM -- 09:21 PM (PDT)
Q&A
Oral
Mon May 03 09:21 PM -- 09:36 PM (PDT)
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
Keyulu Xu · Mozhi Zhang · Jingling Li · Simon Du · Ken-Ichi Kawarabayashi · Stefanie Jegelka
[ Paper ]
Spotlight
Mon May 03 09:36 PM -- 09:46 PM (PDT)
Graph Convolution with Low-rank Learnable Local Filters
Xiuyuan Cheng · Zichen Miao · Qiang Qiu
[ Paper ]
Spotlight
Mon May 03 09:46 PM -- 09:56 PM (PDT)
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings
Elliot Meyerson · Risto Miikkulainen
[ Paper ]
Spotlight
Mon May 03 09:56 PM -- 10:06 PM (PDT)
Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning
Dong Bok Lee · Dongchan Min · Seanie Lee · Sung Ju Hwang
[ Paper ]
Q&A
Mon May 03 10:06 PM -- 10:16 PM (PDT)
Q&A
Break
Mon May 03 10:30 PM -- 10:30 PM (PDT)
BREAK:
Invited Talk
Tue May 04 12:00 AM -- 01:00 AM (PDT) @ Virtual
Geometric Deep Learning: the Erlangen Programme of ML
Michael Bronstein
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Neurally Augmented ALISTA
Freya Behrens · Jonathan Sauder · Peter Jung
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Probing BERT in Hyperbolic Spaces
Boli Chen · Yao Fu · Guangwei Xu · Pengjun Xie · Chuanqi Tan · Mosha Chen · Liping Jing
[ Slides
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Accurate Learning of Graph Representations with Graph Multiset Pooling
Jinheon Baek · Minki Kang · Sung Ju Hwang
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
On Self-Supervised Image Representations for GAN Evaluation
Stanislav Morozov · Andrey Voynov · Artem Babenko
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
What they do when in doubt: a study of inductive biases in seq2seq learners
Kharitonov Eugene · Rahma Chaabouni
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Multiscale Score Matching for Out-of-Distribution Detection
Ahsan Mahmood · Junier Oliva · Martin A Styner
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Learning Subgoal Representations with Slow Dynamics
Siyuan Li · Lulu Zheng · Jianhao Wang · Chongjie Zhang
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Generalization in data-driven models of primary visual cortex
Konstantin-Klemens Lurz · Mohammad Bashiri · Konstantin Willeke · Akshay Jagadish · Eric Wang · Edgar Walker · Santiago Cadena · Taliah Muhammad · Erick M Cobos · Andreas Tolias · Alexander S Ecker · Fabian Sinz
[ Slides
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Activation-level uncertainty in deep neural networks
Pablo Morales-Alvarez · Daniel Hernández-Lobato · Rafael Molina · José Miguel Hernández Lobato
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Computational Separation Between Convolutional and Fully-Connected Networks
Eran Malach · Shai Shalev-Shwartz
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Large-width functional asymptotics for deep Gaussian neural networks
Daniele Bracale · Stefano Favaro · Sandra Fortini · Stefano Peluchetti
[ Slides
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Sample-Efficient Automated Deep Reinforcement Learning
Jörg Franke · Gregor Koehler · André Biedenkapp · Frank Hutter
[ Slides
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
FedMix: Approximation of Mixup under Mean Augmented Federated Learning
Tehrim Yoon · Sumin Shin · Sung Ju Hwang · Eunho Yang
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Practical Real Time Recurrent Learning with a Sparse Approximation
Jacob Menick · Erich Elsen · Utku Evci · Simon Osindero · Karen Simonyan · Alex Graves
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Learning Accurate Entropy Model with Global Reference for Image Compression
Yichen Qian · Zhiyu Tan · Xiuyu Sun · Ming Lin · Dongyang Li · Zhenhong Sun · Li Hao · Rong Jin
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Hyperbolic Neural Networks++
Ryohei Shimizu · YUSUKE Mukuta · Tatsuya Harada
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Generalized Multimodal ELBO
Thomas Sutter · Imant Daunhawer · Julia E Vogt
[ Slides
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies
Dominik Schmidt · Georgia Koppe · Zahra Monfared · Max Beutelspacher · Daniel Durstewitz
[ Slides
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering
Tsung Wei Tsai · Chongxuan Li · Jun Zhu
[ Slides
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Prototypical Contrastive Learning of Unsupervised Representations
Junnan Li · Pan Zhou · Caiming Xiong · Steven Hoi
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention
Grégoire Mialon · Dexiong Chen · Alexandre d'Aspremont · Julien Mairal
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Improving Transformation Invariance in Contrastive Representation Learning
Adam Foster · Rattana Pukdee · Tom Rainforth
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
A Block Minifloat Representation for Training Deep Neural Networks
Sean Fox · Seyedramin Rasoulinezhad · Julian Faraone · david boland · Philip Leong
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Class Normalization for (Continual)? Generalized Zero-Shot Learning
Ivan Skorokhodov · Mohamed Elhoseiny
[ Slides
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
A Distributional Approach to Controlled Text Generation
Muhammad Khalifa · Hady Elsahar · Marc Dymetman
[ Slides
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs
Xingang Pan · Bo DAI · Ziwei Liu · Chen Change Loy · Ping Luo
[ Slides
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator
Max B Paulus · Chris Maddison · Andreas Krause
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose?
Balázs Kégl · Gabriel Hurtado · Albert Thomas
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
Ke Sun · Zhanxing Zhu · Zhouchen Lin
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
GraphCodeBERT: Pre-training Code Representations with Data Flow
Daya Guo · Shuo Ren · Shuai Lu · Zhangyin Feng · Duyu Tang · Shujie LIU · Long Zhou · Nan Duan · Alexey Svyatkovskiy · Shengyu Fu · Michele Tufano · Shao Kun Deng · Colin Clement · Dawn Drain · Neel Sundaresan · Jian Yin · Daxin Jiang · Ming Zhou
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Prediction and generalisation over directed actions by grid cells
Changmin Yu · Timothy Behrens · Neil Burgess
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing
Asish Ghoshal · Xilun Chen · Sonal Gupta · Luke Zettlemoyer · Yashar Mehdad
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Contemplating Real-World Object Classification
Ali Borji
[ Slides
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Efficient Certified Defenses Against Patch Attacks on Image Classifiers
Jan Hendrik Metzen · Maksym Yatsura
[ Slides
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
not-MIWAE: Deep Generative Modelling with Missing not at Random Data
Niels Ipsen · Pierre-Alexandre Mattei · Jes Frellsen
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Intraclass clustering: an implicit learning ability that regularizes DNNs
Simon Carbonnelle · Christophe De Vleeschouwer
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
SkipW: Resource Adaptable RNN with Strict Upper Computational Limit
Tsiry MAYET · Anne Lambert · Pascal Le Guyadec · Francoise Le Bolzer · François Schnitzler
[ Slides
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Learning the Pareto Front with Hypernetworks
Aviv Navon · Aviv Shamsian · Ethan Fetaya · Gal Chechik
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
BOIL: Towards Representation Change for Few-shot Learning
Jaehoon Oh · Hyungjun Yoo · ChangHwan Kim · Se-Young Yun
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent
El Mahdi El Mhamdi · Rachid Guerraoui · Sébastien Rouault
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic
Deunsol Yoon · Sunghoon Hong · Byung-Jun Lee · Kee-Eung Kim
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression
Rianne van den Berg · Alexey Gritsenko · Mostafa Dehghani · Casper Sønderby · Tim Salimans
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Bayesian Context Aggregation for Neural Processes
Michael Volpp · Fabian Flürenbrock · Lukas Grossberger · Christian Daniel · Gerhard Neumann
[ Slides
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Scaling the Convex Barrier with Active Sets
Alessandro De Palma · Harkirat Singh Behl · Rudy R Bunel · Philip Torr · M. Pawan Kumar
[ Slides
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
PDE-Driven Spatiotemporal Disentanglement
Jérémie DONA · Jean-Yves Franceschi · sylvain lamprier · patrick gallinari
[ Slides
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Effective Abstract Reasoning with Dual-Contrast Network
Tao Zhuo · Mohan Kankanhalli
[ Slides
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Complex Query Answering with Neural Link Predictors
Erik Arakelyan · Daniel Daza · Pasquale Minervini · Michael Cochez
[ Slides
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Refining Deep Generative Models via Discriminator Gradient Flow
Abdul Fatir Ansari · Ming Liang Ang · Harold Soh
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Group Equivariant Conditional Neural Processes
Makoto Kawano · Wataru Kumagai · Akiyoshi Sannai · Yusuke Iwasawa · Yutaka Matsuo
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Deep Repulsive Clustering of Ordered Data Based on Order-Identity Decomposition
Seon-Ho Lee · Chang-Su Kim
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling
Đorđe Miladinović · Aleksandar Stanić · Stefan Bauer · Jürgen Schmidhuber · Joachim M Buhmann
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Learning Incompressible Fluid Dynamics from Scratch - Towards Fast, Differentiable Fluid Models that Generalize
Nils Wandel · Michael Weinmann · Reinhard Klein
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Monte-Carlo Planning and Learning with Language Action Value Estimates
Youngsoo Jang · Seokin Seo · Jongmin Lee · Kee-Eung Kim
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Auxiliary Learning by Implicit Differentiation
Aviv Navon · Idan Achituve · Haggai Maron · Gal Chechik · Ethan Fetaya
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Risk-Averse Offline Reinforcement Learning
Núria Armengol Urpí · Sebastian Curi · Andreas Krause
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering
Yuxuan Zhang · Wenzheng Chen · Huan Ling · Jun Gao · Yinan Zhang · Antonio Torralba · Sanja Fidler
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Generalized Energy Based Models
Michael Arbel · Liang Zhou · Arthur Gretton
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Capturing Label Characteristics in VAEs
Tom Joy · Sebastian Schmon · Philip Torr · Siddharth N · Tom Rainforth
[ Slides
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Conformation-Guided Molecular Representation with Hamiltonian Neural Networks
Ziyao Li · Shuwen Yang · Guojie Song · Lingsheng Cai
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples
Ziang Yan · Yiwen Guo · Jian Liang · Changshui Zhang
[ Slides
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Group Equivariant Stand-Alone Self-Attention For Vision
David W. Romero · Jean-Baptiste Cordonnier
[ Slides
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Lossless Compression of Structured Convolutional Models via Lifting
Gustav Sourek · Filip Zelezny · Ondrej Kuzelka
[ Slides
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization
Judith Borowski · Roland Zimmermann · Judith Schepers · Robert Geirhos · Thomas S Wallis · Matthias Bethge · Wieland Brendel
[ Slides
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Disambiguating Symbolic Expressions in Informal Documents
Dennis Müller · Cezary Kaliszyk
[ Slides
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Coping with Label Shift via Distributionally Robust Optimisation
Jingzhao Zhang · Aditya Krishna Menon · Andreas Veit · Srinadh Bhojanapalli · Sanjiv Kumar · Suvrit Sra
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
A Universal Representation Transformer Layer for Few-Shot Image Classification
Lu Liu · William Hamilton · Guodong Long · Jing Jiang · Hugo Larochelle
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Calibration tests beyond classification
David Widmann · Fredrik Lindsten · Dave Zachariah
[ Paper ]
Oral
Tue May 04 03:00 AM -- 03:15 AM (PDT)
End-to-end Adversarial Text-to-Speech
Jeff Donahue · Sander Dieleman · Mikolaj Binkowski · Erich Elsen · Karen Simonyan
[ Paper ]
Spotlight
Tue May 04 03:15 AM -- 03:25 AM (PDT)
Autoregressive Entity Retrieval
Nicola De Cao · Gautier Izacard · Sebastian Riedel · Fabio Petroni
[ Paper ]
Spotlight
Tue May 04 03:25 AM -- 03:35 AM (PDT)
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking
Michael Schlichtkrull · Nicola De Cao · Ivan Titov
[ Paper ]
Spotlight
Tue May 04 03:35 AM -- 03:45 AM (PDT)
Expressive Power of Invariant and Equivariant Graph Neural Networks
Waïss Azizian · marc lelarge
[ Paper ]
Spotlight
Tue May 04 03:45 AM -- 03:55 AM (PDT)
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
Pim De Haan · Maurice Weiler · Taco Cohen · Max Welling
[ Paper ]
Q&A
Tue May 04 03:55 AM -- 04:08 AM (PDT)
Q&A
Oral
Tue May 04 04:08 AM -- 04:23 AM (PDT)
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator
Max B Paulus · Chris Maddison · Andreas Krause
[ Paper ]
Oral
Tue May 04 04:23 AM -- 04:38 AM (PDT)
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes
Mike Gartrell · Insu Han · Elvis Dohmatob · Jennifer Gillenwater · Victor-Emmanuel Brunel
[ Paper ]
Spotlight
Tue May 04 04:38 AM -- 04:48 AM (PDT)
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows
Kashif Rasul · Abdul-Saboor Sheikh · Ingmar Schuster · Urs Bergmann · Roland Vollgraf
[ Paper ]
Spotlight
Tue May 04 04:48 AM -- 04:58 AM (PDT)
Noise against noise: stochastic label noise helps combat inherent label noise
Pengfei Chen · Guangyong Chen · Junjie Ye · jingwei zhao · Pheng-Ann Heng
[ Paper ]
Q&A
Tue May 04 04:58 AM -- 05:08 AM (PDT)
Q&A
Spotlight
Tue May 04 05:08 AM -- 05:18 AM (PDT)
Mutual Information State Intrinsic Control
Rui Zhao · Yang Gao · Pieter Abbeel · Volker Tresp · Wei Xu
[ Paper ]
Spotlight
Tue May 04 05:18 AM -- 05:28 AM (PDT)
Learning Incompressible Fluid Dynamics from Scratch - Towards Fast, Differentiable Fluid Models that Generalize
Nils Wandel · Michael Weinmann · Reinhard Klein
[ Paper ]
Spotlight
Tue May 04 05:28 AM -- 05:38 AM (PDT)
Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies
Dominik Schmidt · Georgia Koppe · Zahra Monfared · Max Beutelspacher · Daniel Durstewitz
[ Paper ]
Spotlight
Tue May 04 05:38 AM -- 05:48 AM (PDT)
Fidelity-based Deep Adiabatic Scheduling
Eli Ovits · Lior Wolf
[ Paper ]
Q&A
Tue May 04 05:48 AM -- 05:58 AM (PDT)
Q&A
Break
Tue May 04 06:00 AM -- 08:00 AM (PDT)
BREAK:
Invited Talk
Tue May 04 08:00 AM -- 09:00 AM (PDT) @ Virtual
AI in Finance: Scope and Examples
Manuela Veloso
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Support-set bottlenecks for video-text representation learning
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)
VTNet: Visual Transformer Network for Object Goal Navigation
Heming Du · Xin Yu · Liang Zheng
[ 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
Ioannis Exarchos · Marcus A Pereira · Ziyi Wang · Evangelos Theodorou
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Learning a Latent Search Space for Routing Problems using Variational Autoencoders
André Hottung · Bhanu Bhandari · Kevin Tierney
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Teaching with Commentaries
Aniruddh Raghu · Maithra Raghu · Simon Kornblith · David Duvenaud · Geoffrey Hinton
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Uncertainty Estimation in Autoregressive Structured Prediction
Andrey Malinin · Mark Gales
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Transformer protein language models are unsupervised structure learners
Roshan Rao · Joshua Meier · Tom Sercu · Sergey Ovchinnikov · Alexander Rives
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Getting a CLUE: A Method for Explaining Uncertainty Estimates
Javier Antorán · Umang Bhatt · Tameem Adel · Adrian Weller · José Miguel Hernández Lobato
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
Unsupervised Object Keypoint Learning using Local Spatial Predictability
Anand Gopalakrishnan · Sjoerd van Steenkiste · Jürgen Schmidhuber
[ Slides
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Uncertainty-aware Active Learning for Optimal Bayesian Classifier
Guang Zhao · Edward Dougherty · Byung-Jun Yoon · Francis Alexander · Xiaoning Qian
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Characterizing signal propagation to close the performance gap in unnormalized ResNets
Andrew Brock · Soham De · Samuel Smith
[ 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
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
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) @ Virtual
Tent: Fully Test-Time Adaptation by Entropy Minimization
Dequan Wang · Evan Shelhamer · Shaoteng Liu · Bruno Olshausen · trevor darrell
[ Slides
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
On the mapping between Hopfield networks and Restricted Boltzmann Machines
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
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
Christian Ali Mehmeti-Göpel · David Hartmann · Michael Wand
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Learning Neural Event Functions for Ordinary Differential Equations
Tian Qi Chen · Brandon Amos · Maximilian Nickel
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Iterative Empirical Game Solving via Single Policy Best Response
Max Smith · Thomas Anthony · Michael Wellman
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Data-Efficient Reinforcement Learning with Self-Predictive Representations
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) @ Virtual
Quantifying Differences in Reward Functions
Adam Gleave · Michael Dennis · Shane Legg · Stuart Russell · Jan Leike
[ Slides
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
Representation Learning via Invariant Causal Mechanisms
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
Large Associative Memory Problem in Neurobiology and Machine Learning
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
Haoye Lu · Yongyi Mao · Amiya Nayak
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Mapping the Timescale Organization of Neural Language Models
Hsiang-Yun Sherry Chien · Jinhan Zhang · Christopher Honey
[ 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
Daochen Zha · Wenye Ma · Lei Yuan · Xia Hu · Ji Liu
[ Slides
[ 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
Andrea Agazzi · Jianfeng Lu
[ 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
Jingfeng Wu · Difan Zou · vladimir braverman · Quanquan Gu
[ Slides
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
Recurrent Independent Mechanisms
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)
Provable Rich Observation Reinforcement Learning with Combinatorial Latent States
Dipendra Kumar Misra · Qinghua Liu · Chi Jin · John Langford
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Understanding Over-parameterization in Generative Adversarial Networks
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
Raphael Gontijo Lopes · Sylvia Smullin · Ekin Cubuk · Ethan Dyer
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics
Yanchao Sun · Da Huo · Furong Huang
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Taming GANs with Lookahead-Minmax
Tatjana Chavdarova · Matteo Pagliardini · Sebastian Stich · François Fleuret · Martin Jaggi
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
UMEC: Unified model and embedding compression for efficient recommendation systems
Jiayi Shen · Haotao Wang · Shupeng Gui · Jianchao Tan · Zhangyang Wang · Ji Liu
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
SSD: A Unified Framework for Self-Supervised Outlier Detection
Vikash Sehwag · Mung Chiang · Prateek Mittal
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models
Zhisheng Xiao · Karsten Kreis · Jan Kautz · Arash Vahdat
[ Slides
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
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)
Fair Mixup: Fairness via Interpolation
Ching-Yao Chuang · Youssef Mroueh
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Meta-learning Symmetries by Reparameterization
Allan Zhou · Tom Knowles · Chelsea Finn
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
Sharper Generalization Bounds for Learning with Gradient-dominated Objective Functions
Yunwen Lei · Yiming Ying
[ Slides
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Rethinking Attention with Performers
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) @ Virtual
Shape or Texture: Understanding Discriminative Features in CNNs
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) @ Virtual
DC3: A learning method for optimization with hard constraints
Priya Donti · David Rolnick · Zico Kolter
[ Slides
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
C-Learning: Horizon-Aware Cumulative Accessibility Estimation
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)
Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy
Zuyue Fu · Zhuoran Yang · Zhaoran Wang
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
DINO: A Conditional Energy-Based GAN for Domain Translation
Konstantinos Vougioukas · Stavros Petridis · Maja Pantic
[ Slides
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Learning Parametrised Graph Shift Operators
George Dasoulas · Johannes Lutzeyer · Michalis Vazirgiannis
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
Beliz Gunel · Jingfei Du · Alexis Conneau · Veselin Stoyanov
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
On the Origin of Implicit Regularization in Stochastic Gradient Descent
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
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
Alex Chan · Mihaela van der Schaar
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Clairvoyance: A Pipeline Toolkit for Medical Time Series
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 Value Functions in Deep Policy Gradients using Residual Variance
Yannis Flet-Berliac · reda ouhamma · odalric-ambrym maillard · philippe preux
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding
Sana Tonekaboni · Danny Eytan · Anna Goldenberg
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
Robust Pruning at Initialization
Soufiane Hayou · Jean-Francois Ton · Arnaud Doucet · Yee Whye Teh
[ Slides
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics
Vinay Ramasesh · Ethan Dyer · Maithra Raghu
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Statistical inference for individual fairness
Subha Maity · Songkai Xue · Mikhail Yurochkin · Yuekai Sun
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Self-Supervised Learning of Compressed Video Representations
Youngjae Yu · Sangho Lee · Gunhee Kim · Yale Song
[ 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
Jonathan Frankle · David J Schwab · Ari Morcos
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
The geometry of integration in text classification RNNs
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)
Physics-aware, probabilistic model order reduction with guaranteed stability
Sebastian Kaltenbach · PS Koutsourelakis
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Interpreting Knowledge Graph Relation Representation from Word Embeddings
Carl Allen · Ivana Balazevic · Timothy Hospedales
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Discovering a set of policies for the worst case reward
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)
FairBatch: Batch Selection for Model Fairness
Yuji Roh · Kangwook Lee · Steven Whang · Changho Suh
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Decoupling Global and Local Representations via Invertible Generative Flows
Xuezhe Ma · Xiang Kong · Shanghang Zhang · Eduard H Hovy
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
Systematic generalisation with group invariant predictions
Faruk Ahmed · Yoshua Bengio · Harm van Seijen · Aaron Courville
[ 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
Kenji Kawaguchi
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Learning Robust State Abstractions for Hidden-Parameter Block MDPs
Amy Zhang · Shagun Sodhani · Khimya Khetarpal · Joelle Pineau
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Learning from Protein Structure with Geometric Vector Perceptrons
Bowen Jing · Stephan Eismann · Patricia Suriana · Raphael J Townshend · Ron Dror
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
Are wider nets better given the same number of parameters?
Anna Golubeva · Guy Gur-Ari · Behnam Neyshabur
[ Slides
[ 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
Thomas Bird · Friso Kingma · David Barber
[ Slides
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Auction Learning as a Two-Player Game
Jad Rahme · Samy Jelassi · S. M Weinberg
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
How Benign is Benign Overfitting ?
Amartya Sanyal · Puneet Dokania · Varun Kanade · Philip Torr
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues
Rishabh Joshi · Vidhisha Balachandran · Shikhar Vashishth · Alan Black · Yulia Tsvetkov
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT) @ Virtual
Text Generation by Learning from Demonstrations
Richard Yuanzhe Pang · He He
[ Slides
[ 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
Zhiyuan Li · Yuping Luo · Kaifeng Lyu
[ Slides
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Nearest Neighbor Machine Translation
Urvashi Khandelwal · Angela Fan · Dan Jurafsky · Luke Zettlemoyer · Mike Lewis
[ Paper ]
Poster
Tue May 04 09:00 AM -- 11:00 AM (PDT)
Reinforcement Learning with Random Delays
Yann Bouteiller · Simon Ramstedt · Giovanni Beltrame · Chris J Pal · Jonathan Binas
[ Paper ]
Oral
Tue May 04 11:00 AM -- 11:15 AM (PDT)
Iterated learning for emergent systematicity in VQA
Ankit Vani · Max Schwarzer · Yuchen Lu · Eeshan Dhekane · Aaron Courville
[ Paper ]
Oral
Tue May 04 11:15 AM -- 11:30 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
[ Paper ]
Spotlight
Tue May 04 11:30 AM -- 11:40 AM (PDT)
How Does Mixup Help With Robustness and Generalization?
Linjun Zhang · Zhun Deng · Kenji Kawaguchi · Amirata Ghorbani · James Zou
[ Paper ]
Spotlight
Tue May 04 11:40 AM -- 11:50 AM (PDT)
Recurrent Independent Mechanisms
Anirudh Goyal · Alex Lamb · Jordan Hoffmann · Shagun Sodhani · Sergey Levine · Yoshua Bengio · Bernhard Schoelkopf
[ Paper ]
Q&A
Tue May 04 11:50 AM -- 12:00 PM (PDT)
Q&A
Oral
Tue May 04 12:00 PM -- 12:15 PM (PDT)
Randomized Automatic Differentiation
Deniz Oktay · Nick McGreivy · Joshua Aduol · Alex Beatson · Ryan P Adams
[ Paper ]
Oral
Tue May 04 12:15 PM -- 12:30 PM (PDT)
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering
Yuxuan Zhang · Wenzheng Chen · Huan Ling · Jun Gao · Yinan Zhang · Antonio Torralba · Sanja Fidler
[ Paper ]
Spotlight
Tue May 04 12:30 PM -- 12:40 PM (PDT)
Mind the Pad -- CNNs Can Develop Blind Spots
Bilal Alsallakh · Narine Kokhlikyan · Vivek Miglani · Jun Yuan · Orion Reblitz-Richardson
[ Paper ]
Spotlight
Tue May 04 12:40 PM -- 12:50 PM (PDT)
Implicit Convex Regularizers of CNN Architectures: Convex Optimization of Two- and Three-Layer Networks in Polynomial Time
Tolga Ergen · Mert Pilanci
[ Paper ]
Spotlight
Tue May 04 12:50 PM -- 01:00 PM (PDT)
Learning from Protein Structure with Geometric Vector Perceptrons
Bowen Jing · Stephan Eismann · Patricia Suriana · Raphael J Townshend · Ron Dror
[ Paper ]
Q&A
Tue May 04 01:00 PM -- 01:13 PM (PDT)
Q&A
Oral
Tue May 04 01:13 PM -- 01:28 PM (PDT)
On the mapping between Hopfield networks and Restricted Boltzmann Machines
Matthew Smart · Anton Zilman
[ Paper ]
Spotlight
Tue May 04 01:28 PM -- 01:38 PM (PDT)
Learning-based Support Estimation in Sublinear Time
Talya Eden · Piotr Indyk · Shyam Narayanan · Ronitt Rubinfeld · Sandeep Silwal · Tal Wagner
[ Paper ]
Spotlight
Tue May 04 01:38 PM -- 01:48 PM (PDT)
Long-tail learning via logit adjustment
Aditya Krishna Menon · Sadeep Jayasumana · Ankit Singh Rawat · Himanshu Jain · Andreas Veit · Sanjiv Kumar
[ Paper ]
Q&A
Tue May 04 01:48 PM -- 01:56 PM (PDT)
Q&A
Expo Talk Panel
Tue May 04 02:00 PM -- 03:00 PM (PDT)
Interpretability with skeptical and user-centric mind
Been Kim
Break
Tue May 04 03:00 PM -- 04:00 PM (PDT)
BREAK:
Town Hall
Tue May 04 04:00 PM -- 05:00 PM (PDT)
Town Hall
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets?
Zhiyuan Li · Yi Zhang · Sanjeev Arora
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
CompOFA – Compound Once-For-All Networks for Faster Multi-Platform Deployment
Manas Sahni · Shreya Varshini · Alind Khare · Alexey Tumanov
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning
Aviral Kumar · Rishabh Agarwal · Dibya Ghosh · Sergey Levine
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Fourier Neural Operator for Parametric Partial Differential Equations
Zongyi Li · Nikola B Kovachki · Kamyar Azizzadenesheli · Burigede liu · Kaushik Bhattacharya · Andrew Stuart · Anima Anandkumar
[ Slides
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Large Batch Simulation for Deep Reinforcement Learning
Brennan Shacklett · Erik Wijmans · Aleksei Petrenko · Manolis Savva · Dhruv Batra · Vladlen Koltun · Kayvon Fatahalian
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Deep Equals Shallow for ReLU Networks in Kernel Regimes
Alberto Bietti · Francis Bach
[ Slides
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Knowledge Distillation as Semiparametric Inference
Tri Dao · Govinda Kamath · Vasilis Syrgkanis · Lester Mackey
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Hopper: Multi-hop Transformer for Spatiotemporal Reasoning
Honglu Zhou · Asim Kadav · Farley Lai · Alexandru Niculescu-Mizil · Martin Min · Mubbasir Kapadia · Hans P Graf
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Memory Optimization for Deep Networks
Aashaka Shah · Chao-Yuan Wu · Jayashree Mohan · Vijay Chidambaram · Philipp Krähenbühl
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Diverse Video Generation using a Gaussian Process Trigger
Gaurav Shrivastava · Abhinav Shrivastava
[ Slides
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Generating Adversarial Computer Programs using Optimized Obfuscations
Shashank Srikant · Sijia Liu · Tamara Mitrovska · Shiyu Chang · Quanfu Fan · Gaoyuan Zhang · Una-May O'Reilly
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis
Zhipeng Bao · Yu-Xiong Wang · Martial Hebert
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Unsupervised Discovery of 3D Physical Objects
Yilun Du · Kevin A Smith · Tomer Ullman · Joshua B Tenenbaum · Jiajun Wu
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
A Discriminative Gaussian Mixture Model with Sparsity
Hideaki Hayashi · Seiichi Uchida
[ Slides
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
RMSprop converges with proper hyper-parameter
Naichen Shi · Dawei Li · Mingyi Hong · Ruoyu Sun
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
A Hypergradient Approach to Robust Regression without Correspondence
Yujia Xie · Yixiu Mao · Simiao Zuo · Hongteng Xu · Xiaojing Ye · Tuo Zhao · Hongyuan Zha
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
Chin-Wei Huang · Tian Qi Chen · Christos Tsirigotis · Aaron Courville
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Generalized Variational Continual Learning
Noel Loo · Siddharth Swaroop · Richard E Turner
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Multi-resolution modeling of a discrete stochastic process identifies causes of cancer
Adam Yaari · Maxwell Sherman · Oliver C Priebe · Po-Ru Loh · Boris Katz · Andrei Barbu · Bonnie Berger
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
Tsung-Wei Ke · Jyh-Jing Hwang · Stella Yu
[ Slides
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Attentional Constellation Nets for Few-Shot Learning
Weijian Xu · Yifan Xu · Huaijin Wang · Zhuowen Tu
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration
Jaekyeom Kim · Minjung Kim · Dongyeon Woo · Gunhee Kim
[ Slides
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
DrNAS: Dirichlet Neural Architecture Search
Xiangning Chen · Ruochen Wang · Minhao Cheng · Xiaocheng Tang · Cho-Jui Hsieh
[ Slides
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Lipschitz Recurrent Neural Networks
N. Benjamin Erichson · Omri Azencot · Alejandro Queiruga · Liam Hodgkinson · Michael W Mahoney
[ Slides
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Behavioral Cloning from Noisy Demonstrations
Fumihiro Sasaki · Ryota Yamashina
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Viewmaker Networks: Learning Views for Unsupervised Representation Learning
Alex Tamkin · Mike Wu · Noah Goodman
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
Keyulu Xu · Mozhi Zhang · Jingling Li · Simon Du · Ken-Ichi Kawarabayashi · Stefanie Jegelka
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Can a Fruit Fly Learn Word Embeddings?
Yuchen Liang · Chaitanya Ryali · Benjamin Hoover · Leopold Grinberg · Saket Navlakha · Mohammed J Zaki · Dmitry Krotov
[ Slides
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
Meng Qu · Junkun Chen · Louis-Pascal A Xhonneux · Yoshua Bengio · Jian Tang
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
On Graph Neural Networks versus Graph-Augmented MLPs
Lei Chen · Zhengdao Chen · Joan Bruna
[ Slides
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
SEDONA: Search for Decoupled Neural Networks toward Greedy Block-wise Learning
Myeongjang Pyeon · Jihwan Moon · Taeyoung Hahn · Gunhee Kim
[ Slides
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Mathematical Reasoning via Self-supervised Skip-tree Training
Markus Rabe · Dennis Lee · Kshitij Bansal · Christian Szegedy
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Topology-Aware Segmentation Using Discrete Morse Theory
Xiaoling Hu · Yusu Wang · Li Fuxin · Dimitris Samaras · Chao Chen
[ Slides
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Implicit Convex Regularizers of CNN Architectures: Convex Optimization of Two- and Three-Layer Networks in Polynomial Time
Tolga Ergen · Mert Pilanci
[ Slides
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Dataset Inference: Ownership Resolution in Machine Learning
Pratyush Maini · Mohammad Yaghini · Nicolas Papernot
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Learning Safe Multi-agent Control with Decentralized Neural Barrier Certificates
Zengyi Qin · Kaiqing Zhang · Yuxiao Chen · Jingkai Chen · Chuchu Fan
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation
Xin Ding · Yongwei Wang · Zuheng Xu · William J Welch · Z. J Wang
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Fantastic Four: Differentiable and Efficient Bounds on Singular Values of Convolution Layers
Sahil Singla · Soheil Feizi
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding
Yanru Qu · Dinghan Shen · Yelong Shen · Sandra Sajeev · Weizhu Chen · Jiawei Han
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Discovering Non-monotonic Autoregressive Orderings with Variational Inference
Xuanlin Li · Brandon Trabucco · Dong Huk Park · Michael Luo · Sheng Shen · trevor darrell · Yang Gao
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Aligning AI With Shared Human Values
Dan Hendrycks · Collin Burns · Steven Basart · Andrew Critch · Jerry Li · Dawn Song · Jacob Steinhardt
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Fuzzy Tiling Activations: A Simple Approach to Learning Sparse Representations Online
Yangchen Pan · Kirby Banman · Martha White
[ Slides
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Linear Mode Connectivity in Multitask and Continual Learning
Seyed Iman Mirzadeh · Mehrdad Farajtabar · Dilan Gorur · Razvan Pascanu · Hassan Ghasemzadeh
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning
Hong-You Chen · Wei-Lun Chao
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks
Jiaqi Ma · Bo Chang · Xuefei Zhang · Qiaozhu Mei
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Learning to Reach Goals via Iterated Supervised Learning
Dibya Ghosh · Abhishek Gupta · Ashwin D Reddy · Justin Fu · Coline M Devin · Benjamin Eysenbach · Sergey Levine
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability
Jeremy Cohen · Simran Kaur · Yuanzhi Li · Zico Kolter · Ameet Talwalkar
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees?
Zhen Qin · Le Yan · Honglei Zhuang · Yi Tay · Rama Kumar Pasumarthi · Xuanhui Wang · Michael Bendersky · Marc Najork
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Projected Latent Markov Chain Monte Carlo: Conditional Sampling of Normalizing Flows
Chris Cannella · Mohammadreza Soltani · VAHID TAROKH
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
HalentNet: Multimodal Trajectory Forecasting with Hallucinative Intents
Deyao Zhu · Mohamed Zahran · Erran Li · Mohamed Elhoseiny
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
A Temporal Kernel Approach for Deep Learning with Continuous-time Information
Da Xu · Chuanwei Ruan · evren korpeoglu · Sushant Kumar · kannan achan
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
Dongkwan Kim · Alice Oh
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Usable Information and Evolution of Optimal Representations During Training
Michael Kleinman · Alessandro Achille · Daksh Idnani · Jonathan Kao
[ Slides
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation
Peiye Zhuang · Sanmi Koyejo · Alex Schwing
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning
Haibo Yang · Minghong Fang · Jia Liu
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization
Michael Zhang · Thomas Paine · Ofir Nachum · Cosmin Paduraru · George Tucker · ziyu wang · Mohammad Norouzi
[ Slides
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
A unifying view on implicit bias in training linear neural networks
Chulhee Yun · Shankar Krishnan · Hossein Mobahi
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning
Wonyong Jeong · Jaehong Yoon · Eunho Yang · Sung Ju Hwang
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth
Thao Nguyen · Maithra Raghu · Simon Kornblith
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration
Augustus Odena · Kensen Shi · David Bieber · Rishabh Singh · Charles Sutton · Hanjun Dai
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Understanding the role of importance weighting for deep learning
Da Xu · Yuting Ye · Chuanwei Ruan
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Contextual Dropout: An Efficient Sample-Dependent Dropout Module
XINJIE FAN · Shujian Zhang · Korawat Tanwisuth · Xiaoning Qian · Mingyuan Zhou
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Hierarchical Autoregressive Modeling for Neural Video Compression
Ruihan Yang · Yibo Yang · Joe Marino · Stephan Mandt
[ Slides
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Individually Fair Rankings
Amanda Bower · Hamid Eftekhari · Mikhail Yurochkin · Yuekai Sun
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Denoising Diffusion Implicit Models
Jiaming Song · Chenlin Meng · Stefano Ermon
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Chao Shang · Jie Chen · Jinbo Bi
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Mirostat: A Neural Text Decoding Algorithm That Directly Controls Perplexity
Sourya Basu · Govardana Sachithanandam Ramachandran · Nitish Shirish Keskar · Lav R Varshney
[ Slides
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
DDPNOpt: Differential Dynamic Programming Neural Optimizer
Guan-Horng Liu · Tianrong Chen · Evangelos Theodorou
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Information Laundering for Model Privacy
Xinran Wang · Yu Xiang · Jun Gao · Jie Ding
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Monotonic Kronecker-Factored Lattice
William Bakst · Nobuyuki Morioka · Erez Louidor
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics
Daniel Kunin · Javier Sagastuy-Brena · Surya Ganguli · Daniel L Yamins · Hidenori Tanaka
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
Jang-Hyun Kim · Wonho Choo · Hosan Jeong · Hyun Oh Song
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
The Importance of Pessimism in Fixed-Dataset Policy Optimization
Jacob Buckman · Carles Gelada · Marc G Bellemare
[ Slides
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
DOP: Off-Policy Multi-Agent Decomposed Policy Gradients
Yihan Wang · Beining Han · Tonghan Wang · Heng Dong · Chongjie Zhang
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Debiasing Concept-based Explanations with Causal Analysis
Mohammad Taha Bahadori · David Heckerman
[ Slides
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Concept Learners for Few-Shot Learning
Kaidi Cao · Maria Brbic · Jure Leskovec
[ Paper ]
Oral
Tue May 04 07:00 PM -- 07:15 PM (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
[ Paper ]
Spotlight
Tue May 04 07:15 PM -- 07:25 PM (PDT)
DDPNOpt: Differential Dynamic Programming Neural Optimizer
Guan-Horng Liu · Tianrong Chen · Evangelos Theodorou
[ Paper ]
Spotlight
Tue May 04 07:25 PM -- 07:35 PM (PDT)
Orthogonalizing Convolutional Layers with the Cayley Transform
Asher Trockman · Zico Kolter
[ Paper ]
Spotlight
Tue May 04 07:35 PM -- 07:45 PM (PDT)
Model-Based Visual Planning with Self-Supervised Functional Distances
Stephen Tian · Suraj Nair · Frederik Ebert · Sudeep Dasari · Benjamin Eysenbach · Chelsea Finn · Sergey Levine
[ Paper ]
Q&A
Tue May 04 07:45 PM -- 07:55 PM (PDT)
Q&A
Oral
Tue May 04 07:55 PM -- 08:10 PM (PDT)
Global Convergence of Three-layer Neural Networks in the Mean Field Regime
Huy Tuan Pham · Phan-Minh Nguyen
[ Paper ]
Spotlight
Tue May 04 08:10 PM -- 08:20 PM (PDT)
Minimum Width for Universal Approximation
Sejun Park · Chulhee Yun · Jaeho Lee · Jinwoo Shin
[ Paper ]
Spotlight
Tue May 04 08:20 PM -- 08:30 PM (PDT)
Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors
Yu Sun · Jiaming Liu · Yiran Sun · Brendt Wohlberg · Ulugbek Kamilov
[ Paper ]
Spotlight
Tue May 04 08:30 PM -- 08:40 PM (PDT)
Individually Fair Gradient Boosting
Alexander Vargo · Fan Zhang · Mikhail Yurochkin · Yuekai Sun
[ Paper ]
Spotlight
Tue May 04 08:40 PM -- 08:50 PM (PDT)
Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees?
Zhen Qin · Le Yan · Honglei Zhuang · Yi Tay · Rama Kumar Pasumarthi · Xuanhui Wang · Michael Bendersky · Marc Najork
[ Paper ]
Q&A
Tue May 04 08:50 PM -- 09:03 PM (PDT)
Q&A
Oral
Tue May 04 09:03 PM -- 09:18 PM (PDT)
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
Jang-Hyun Kim · Wonho Choo · Hosan Jeong · Hyun Oh Song
[ Paper ]
Oral
Tue May 04 09:18 PM -- 09:33 PM (PDT)
MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training
Beidi Chen · Zichang Liu · Binghui Peng · Zhaozhuo Xu · Jonathan L Li · Tri Dao · Zhao Song · Anshumali Shrivastava · Christopher Re
[ Paper ]
Spotlight
Tue May 04 09:33 PM -- 09:43 PM (PDT)
Locally Free Weight Sharing for Network Width Search
Xiu Su · Shan You · Tao Huang · Fei Wang · Chen Qian · Changshui Zhang · Chang Xu
[ Paper ]
Spotlight
Tue May 04 09:43 PM -- 09:53 PM (PDT)
Memory Optimization for Deep Networks
Aashaka Shah · Chao-Yuan Wu · Jayashree Mohan · Vijay Chidambaram · Philipp Krähenbühl
[ Paper ]
Spotlight
Tue May 04 09:53 PM -- 10:03 PM (PDT)
Neural Topic Model via Optimal Transport
He Zhao · Dinh Phung · Viet Huynh · Trung Le · Wray Buntine
[ Paper ]
Q&A
Tue May 04 10:03 PM -- 10:16 PM (PDT)
Q&A
Break
Tue May 04 10:30 PM -- 10:30 PM (PDT)
BREAK:
Invited Talk
Wed May 05 12:00 AM -- 01:00 AM (PDT) @ Virtual
Perceiving the 3D World from Images and Video
Lourdes Agapito
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation
Alexandre Rame · MATTHIEU CORD
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Knowledge distillation via softmax regression representation learning
Jing Yang · Brais Martinez · Adrian Bulat · Georgios Tzimiropoulos
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Differentiable Segmentation of Sequences
Erik Scharwächter · Jonathan Lennartz · Emmanuel Müller
[ Slides
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Disentangled Recurrent Wasserstein Autoencoder
Jun Han · Martin Min · Ligong Han · Erran Li · Xuan Zhang
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Expressive Power of Invariant and Equivariant Graph Neural Networks
Waïss Azizian · marc lelarge
[ Slides
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Degree-Quant: Quantization-Aware Training for Graph Neural Networks
Shyam Tailor · Javier Fernandez-Marques · Nicholas Lane
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Learning Associative Inference Using Fast Weight Memory
Imanol Schlag · Tsendsuren Munkhdalai · Jürgen Schmidhuber
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Identifying Physical Law of Hamiltonian Systems via Meta-Learning
Seungjun Lee · Haesang Yang · Woojae Seong
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time
Yu Cheng · Honghao Lin
[ Slides
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Explainable Deep One-Class Classification
Philipp Liznerski · Lukas Ruff · Robert A Vandermeulen · Billy J Franks · Marius Kloft · Klaus R Muller
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein
Khai Nguyen · Son Nguyen · Nhat Ho · Tung Pham · Hung Bui
[ Slides
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Auxiliary Task Update Decomposition: The Good, the Bad and the Neutral
Lucio Dery · Yann Dauphin · David Grangier
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Communication in Multi-Agent Reinforcement Learning: Intention Sharing
WOOJUN KIM · Jongeui Park · Youngchul Sung
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
High-Capacity Expert Binary Networks
Adrian Bulat · Brais Martinez · Georgios Tzimiropoulos
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Neural networks with late-phase weights
Johannes von Oswald · Seijin Kobayashi · Joao Sacramento · Alexander Meulemans · Christian Henning · Benjamin F Grewe
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning
Samuel Horváth · Peter Richtarik
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Neural Delay Differential Equations
Qunxi Zhu · Yao Guo · Wei Lin
[ Slides
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Neural ODE Processes
Alexander Norcliffe · Cristian Bodnar · Ben Day · Jacob Moss · Pietro Liò
[ Slides
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Graph Edit Networks
Benjamin Paassen · Daniele Grattarola · Daniele Zambon · Cesare Alippi · Barbara E Hammer
[ Slides
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
Yuan Yin · Vincent Le Guen · Jérémie DONA · Emmanuel d Bezenac · Ibrahim Ayed · Nicolas THOME · patrick gallinari
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech
Yoonhyung Lee · Joongbo Shin · Kyomin Jung
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss
Mingyang Yi · LU HOU · Lifeng Shang · Xin Jiang · Qun Liu · Zhi-Ming Ma
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning
Manli Zhang · Jianhong Zhang · Zhiwu Lu · Tao Xiang · Mingyu Ding · Songfang Huang
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Gradient Origin Networks
Sam Bond-Taylor · Chris G Willcocks
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models
Yuge Shi · Brooks Paige · Philip Torr · Siddharth N
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Active Contrastive Learning of Audio-Visual Video Representations
Shuang Ma · Zhaoyang Zeng · Daniel McDuff · Yale Song
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
New Bounds For Distributed Mean Estimation and Variance Reduction
Peter Davies · Vijaykrishna Gurunathan · Niusha Moshrefi · Saleh Ashkboos · Dan Alistarh
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Return-Based Contrastive Representation Learning for Reinforcement Learning
Guoqing Liu · Chuheng Zhang · Li Zhao · Tao Qin · Jinhua Zhu · Li Jian · Nenghai Yu · Tie-Yan Liu
[ Slides
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks
Shyamgopal Karthik · Ameya Prabhu · Puneet Dokania · Vineet Gandhi
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction
Yuhang Li · Ruihao Gong · Xu Tan · Yang Yang · Peng Hu · Qi Zhang · fengwei yu · Wei Wang · Shi Gu
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
On Data-Augmentation and Consistency-Based Semi-Supervised Learning
Atin Ghosh · alexandre thiery
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Neural gradients are near-lognormal: improved quantized and sparse training
Brian Chmiel · Liad Ben-Uri · Moran Shkolnik · Elad Hoffer · Ron Banner · Daniel Soudry
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Learning from Demonstration with Weakly Supervised Disentanglement
Yordan Hristov · Subramanian Ramamoorthy
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Simple Spectral Graph Convolution
Hao Zhu · Piotr Koniusz
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Acting in Delayed Environments with Non-Stationary Markov Policies
Esther Derman · Gal Dalal · Shie Mannor
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
Nils Lukas · Yuxuan Zhang · Florian Kerschbaum
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
CoCon: A Self-Supervised Approach for Controlled Text Generation
Alvin Chan · Yew-Soon Ong · Bill Pung · Aston Zhang · Jie Fu
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Fidelity-based Deep Adiabatic Scheduling
Eli Ovits · Lior Wolf
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Removing Undesirable Feature Contributions Using Out-of-Distribution Data
Saehyung Lee · Changhwa Park · Hyungyu Lee · Jihun Yi · Jonghyun Lee · Sungroh Yoon
[ Slides
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Byzantine-Resilient Non-Convex Stochastic Gradient Descent
Zeyuan Allen-Zhu · Faeze Ebrahimianghazani · Jerry Li · Dan Alistarh
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Separation and Concentration in Deep Networks
John Zarka · Florentin Guth · Stéphane Mallat
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Locally Free Weight Sharing for Network Width Search
Xiu Su · Shan You · Tao Huang · Fei Wang · Chen Qian · Changshui Zhang · Chang Xu
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels
Binxin Ru · Xingchen Wan · Xiaowen Dong · Michael Osborne
[ Slides
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Improving Adversarial Robustness via Channel-wise Activation Suppressing
Yang Bai · Yuyuan Zeng · Yong Jiang · Shu-Tao Xia · Xingjun Ma · Yisen Wang
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Geometry-aware Instance-reweighted Adversarial Training
Jingfeng Zhang · Jianing ZHU · Gang Niu · Bo Han · Masashi Sugiyama · Mohan Kankanhalli
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Long Range Arena : A Benchmark for Efficient Transformers
Yi Tay · Mostafa Dehghani · Samira Abnar · Yikang Shen · Dara Bahri · Philip Pham · Jinfeng Rao · Liu Yang · Sebastian Ruder · Donald Metzler
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Fooling a Complete Neural Network Verifier
Dániel Zombori · Balázs Bánhelyi · Tibor Csendes · István Megyeri · Márk Jelasity
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Bag of Tricks for Adversarial Training
Tianyu Pang · Xiao Yang · Yinpeng Dong · Hang Su · Jun Zhu
[ Slides
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference
Sanghyun Hong · Yigitcan Kaya · Ionut-Vlad Modoranu · Tudor Dumitras
[ Slides
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization
Lanqing Li · Rui Yang · Dijun Luo
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Isometric Propagation Network for Generalized Zero-shot Learning
Lu Liu · Tianyi Zhou · Guodong Long · Jing Jiang · Xuanyi Dong · Chengqi Zhang
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Efficient Continual Learning with Modular Networks and Task-Driven Priors
Tom Veniat · Ludovic Denoyer · Marc'Aurelio Ranzato
[ Slides
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels
Leon Lang · Maurice Weiler
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Self-supervised Adversarial Robustness for the Low-label, High-data Regime
Sven Gowal · Po-Sen Huang · Aaron v den · Timothy A Mann · Pushmeet Kohli
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Dance Revolution: Long-Term Dance Generation with Music via Curriculum Learning
Ruozi Huang · Huang Hu · Wei Wu · Kei Sawada · Mi Zhang · Daxin Jiang
[ Slides
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Negative Data Augmentation
Abhishek Sinha · Kumar Ayush · Jiaming Song · Burak Uzkent · Hongxia Jin · Stefano Ermon
[ Slides
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning
Alihan Hüyük · Daniel Jarrett · Cem Tekin · Mihaela van der Schaar
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Grounded Language Learning Fast and Slow
Felix Hill · Olivier Tieleman · Tamara von Glehn · Nathaniel Wong · Hamza Merzic · Stephen Clark
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy · Lucas Beyer · Alexander Kolesnikov · Dirk Weissenborn · Xiaohua Zhai · Thomas Unterthiner · Mostafa Dehghani · Matthias Minderer · Georg Heigold · Sylvain Gelly · Jakob Uszkoreit · Neil Houlsby
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization
Zhenggang Tang · Chao Yu · Boyuan Chen · Huazhe Xu · Xiaolong Wang · Fei Fang · Simon Du · Yu Wang · Yi Wu
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Net-DNF: Effective Deep Modeling of Tabular Data
Liran Katzir · Gal Elidan · Ran El-Yaniv
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Learning Task Decomposition with Ordered Memory Policy Network
Yuchen Lu · Yikang Shen · Siyuan Zhou · Aaron Courville · Joshua B Tenenbaum · Chuang Gan
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Deep Learning meets Projective Clustering
Alaa Maalouf · Harry Lang · Daniela Rus · Dan Feldman
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization
Tatsuya Matsushima · Hiroki Furuta · Yutaka Matsuo · Ofir Nachum · Shixiang Gu
[ Slides
[ Paper ]
Oral
Wed May 05 03:00 AM -- 03:15 AM (PDT)
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy · Lucas Beyer · Alexander Kolesnikov · Dirk Weissenborn · Xiaohua Zhai · Thomas Unterthiner · Mostafa Dehghani · Matthias Minderer · Georg Heigold · Sylvain Gelly · Jakob Uszkoreit · Neil Houlsby
[ Paper ]
Oral
Wed May 05 03:15 AM -- 03:30 AM (PDT)
Rethinking Attention with Performers
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 ]
Oral
Wed May 05 03:30 AM -- 03:45 AM (PDT)
Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation
Biao Zhang · Ankur Bapna · Rico Sennrich · Orhan Firat
[ Paper ]
Spotlight
Wed May 05 03:45 AM -- 03:55 AM (PDT)
Support-set bottlenecks for video-text representation learning
Mandela Patrick · Po-Yao Huang · Yuki Asano · Florian Metze · Alexander G Hauptmann · Joao F. Henriques · Andrea Vedaldi
[ Paper ]
Q&A
Wed May 05 03:55 AM -- 04:05 AM (PDT)
Q&A
Oral
Wed May 05 04:05 AM -- 04:20 AM (PDT)
Getting a CLUE: A Method for Explaining Uncertainty Estimates
Javier Antorán · Umang Bhatt · Tameem Adel · Adrian Weller · José Miguel Hernández Lobato
[ Paper ]
Spotlight
Wed May 05 04:20 AM -- 04:30 AM (PDT)
Influence Estimation for Generative Adversarial Networks
Naoyuki Terashita · Hiroki Ohashi · Yuichi Nonaka · Takashi Kanemaru
[ Paper ]
Spotlight
Wed May 05 04:30 AM -- 04:40 AM (PDT)
Stabilized Medical Image Attacks
Gege Qi · Lijun GONG · Yibing Song · Kai Ma · Yefeng Zheng
[ Paper ]
Spotlight
Wed May 05 04:40 AM -- 04:50 AM (PDT)
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
Nils Lukas · Yuxuan Zhang · Florian Kerschbaum
[ Paper ]
Q&A
Wed May 05 04:50 AM -- 05:00 AM (PDT)
Q&A
Oral
Wed May 05 05:00 AM -- 05:15 AM (PDT)
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency
Qiang Zhang · Tete Xiao · Alexei Efros · Lerrel Pinto · Xiaolong Wang
[ Paper ]
Spotlight
Wed May 05 05:15 AM -- 05:25 AM (PDT)
Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods
Taiji Suzuki · Akiyama Shunta
[ Paper ]
Spotlight
Wed May 05 05:25 AM -- 05:35 AM (PDT)
Tent: Fully Test-Time Adaptation by Entropy Minimization
Dequan Wang · Evan Shelhamer · Shaoteng Liu · Bruno Olshausen · trevor darrell
[ Paper ]
Spotlight
Wed May 05 05:35 AM -- 05:45 AM (PDT)
Neural Approximate Sufficient Statistics for Implicit Models
Yanzhi Chen · Dinghuai Zhang · Michael U Gutmann · Aaron Courville · Zhanxing Zhu
[ Paper ]
Spotlight
Wed May 05 05:45 AM -- 05:55 AM (PDT)
Implicit Normalizing Flows
Cheng Lu · Jianfei Chen · Chongxuan Li · Qiuhao Wang · Jun Zhu
[ Paper ]
Q&A
Wed May 05 05:55 AM -- 06:08 AM (PDT)
Q&A
Break
Wed May 05 06:15 AM -- 08:00 AM (PDT)
BREAK:
Invited Talk
Wed May 05 08:00 AM -- 09:00 AM (PDT) @ Virtual
Is My Dataset Biased?
Kate Saenko
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)
Probabilistic Numeric Convolutional Neural Networks
Marc Finzi · Roberto Bondesan · Max Welling
[ Paper ]
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
[ Paper ]
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
[ Slides
[ 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
[ Paper ]
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
[ Paper ]
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
[ Slides
[ Paper ]
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)
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning
Valerie Chen · Abhinav Gupta · Kenneth Marino
[ Paper ]
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) @ Virtual
Multiplicative Filter Networks
Rizal Fathony · Anit Kumar Sahu · Devin Willmott · Zico Kolter
[ Slides
[ Paper ]
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
[ Paper ]
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
[ Slides
[ Paper ]
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
[ Slides
[ 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)
Orthogonalizing Convolutional Layers with the Cayley Transform
Asher Trockman · Zico Kolter
[ Paper ]
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
[ Slides
[ Paper ]
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
[ Slides
[ 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
[ Slides
[ Paper ]
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
[ 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
[ Paper ]
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
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Creative Sketch Generation
Songwei Ge · Vedanuj Goswami · Larry Zitnick · Devi Parikh
[ 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
[ Slides
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Few-Shot Bayesian Optimization with Deep Kernel Surrogates
Martin Wistuba · Josif Grabocka
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning advanced mathematical computations from examples
François Charton · Amaury Hayat · Guillaume Lample
[ Slides
[ Paper ]
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
[ Slides
[ Paper ]
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)
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)
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)
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) @ Virtual
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks
Robert Csordas · Sjoerd van Steenkiste · Jürgen Schmidhuber
[ Slides
[ Paper ]
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
[ Paper ]
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
[ 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
[ Slides
[ Paper ]
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
[ Slides
[ 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
[ 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
[ Paper ]
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
[ Paper ]
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)
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)
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
Xiangxiang Chu · Victor Wang · Bo Zhang · Shun Lu · Xiaolin Wei · Junchi Yan
[ 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
[ Slides
[ Paper ]
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)
Property Controllable Variational Autoencoder via Invertible Mutual Dependence
Xiaojie Guo · Yuanqi Du · Liang Zhao
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Unsupervised Audiovisual Synthesis via Exemplar Autoencoders
Kangle Deng · Aayush Bansal · Deva Ramanan
[ Paper ]
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
[ Paper ]
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
[ Slides
[ Paper ]
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
[ Slides
[ 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) @ Virtual
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies
T. Konstantin Rusch · Siddhartha Mishra
[ Slides
[ 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
[ Paper ]
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)
TropEx: An Algorithm for Extracting Linear Terms in Deep Neural Networks
Martin Trimmel · Henning Petzka · Cristian Sminchisescu
[ Paper ]
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
[ Slides
[ 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
[ 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
[ Slides
[ Paper ]
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
[ Paper ]
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
[ Paper ]
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)
Theoretical bounds on estimation error for meta-learning
James Lucas · Mengye Ren · Irene Raissa KAMENI KAMENI · Toniann Pitassi · Richard Zemel
[ Paper ]
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
[ Slides
[ 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
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms
Maruan Al-Shedivat · Jennifer Gillenwater · Eric P Xing · Afshin Rostamizadeh
[ Slides
[ 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)
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)
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
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning
Anurag Ajay · Aviral Kumar · Pulkit Agrawal · Sergey Levine · Ofir Nachum
[ Slides
[ Paper ]
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
[ Paper ]
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
[ 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)
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)
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
Faster Binary Embeddings for Preserving Euclidean Distances
Jinjie Zhang · Rayan Saab
[ Slides
[ Paper ]
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
[ Slides
[ Paper ]
Oral
Wed May 05 11:00 AM -- 11:15 AM (PDT)
Human-Level Performance in No-Press Diplomacy via Equilibrium Search
Jonathan Gray · Adam Lerer · Anton Bakhtin · Noam Brown
[ Paper ]
Oral
Wed May 05 11:15 AM -- 11:30 AM (PDT)
Learning to Reach Goals via Iterated Supervised Learning
Dibya Ghosh · Abhishek Gupta · Ashwin D Reddy · Justin Fu · Coline M Devin · Benjamin Eysenbach · Sergey Levine
[ Paper ]
Oral
Wed May 05 11:30 AM -- 11:45 AM (PDT)
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Amy Zhang · Rowan T McAllister · Roberto Calandra · Yarin Gal · Sergey Levine
[ Paper ]
Oral
Wed May 05 11:45 AM -- 12:00 PM (PDT)
Evolving Reinforcement Learning Algorithms
John Co-Reyes · Yingjie Miao · Daiyi Peng · Esteban Real · Quoc V Le · Sergey Levine · Honglak Lee · Aleksandra Faust
[ Paper ]
Spotlight
Wed May 05 12:00 PM -- 12:10 PM (PDT)
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Denis Yarats · Ilya Kostrikov · Rob Fergus
[ Paper ]
Q&A
Wed May 05 12:10 PM -- 12:23 PM (PDT)
Q&A
Oral
Wed May 05 12:23 PM -- 12:38 PM (PDT)
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies
T. Konstantin Rusch · Siddhartha Mishra
[ Paper ]
Spotlight
Wed May 05 12:38 PM -- 12:48 PM (PDT)
Sequential Density Ratio Estimation for Simultaneous Optimization of Speed and Accuracy
Akinori Ebihara · Taiki Miyagawa · Kazuyuki Sakurai · Hitoshi Imaoka
[ Paper ]
Spotlight
Wed May 05 12:48 PM -- 12:58 PM (PDT)
LambdaNetworks: Modeling long-range Interactions without Attention
Irwan Bello
[ Paper ]
Spotlight
Wed May 05 12:58 PM -- 01:08 PM (PDT)
Grounded Language Learning Fast and Slow
Felix Hill · Olivier Tieleman · Tamara von Glehn · Nathaniel Wong · Hamza Merzic · Stephen Clark
[ Paper ]
Q&A
Wed May 05 01:08 PM -- 01:18 PM (PDT)
Q&A
Spotlight
Wed May 05 01:18 PM -- 01:28 PM (PDT)
Unsupervised Object Keypoint Learning using Local Spatial Predictability
Anand Gopalakrishnan · Sjoerd van Steenkiste · Jürgen Schmidhuber
[ Paper ]
Spotlight
Wed May 05 01:28 PM -- 01:38 PM (PDT)
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models
Zhisheng Xiao · Karsten Kreis · Jan Kautz · Arash Vahdat
[ Paper ]
Spotlight
Wed May 05 01:38 PM -- 01:48 PM (PDT)
Dynamic Tensor Rematerialization
Marisa Kirisame · Steven S. Lyubomirsky · Altan Haan · Jennifer Brennan · Mike He · Jared G Roesch · Tianqi Chen · Zachary Tatlock
[ Paper ]
Spotlight
Wed May 05 01:48 PM -- 01:58 PM (PDT)
A Gradient Flow Framework For Analyzing Network Pruning
Ekdeep Singh Lubana · Robert Dick
[ Paper ]
Spotlight
Wed May 05 01:58 PM -- 02:08 PM (PDT)
Differentially Private Learning Needs Better Features (or Much More Data)
Florian Tramer · Dan Boneh
[ Paper ]
Expo Talk Panel
Wed May 05 02:00 PM -- 03:00 PM (PDT)
Live Panel - Academics@ Presents: Representation Learning at Amazon
Zahra Matson
Q&A
Wed May 05 02:08 PM -- 02:21 PM (PDT)
Q&A
Break
Wed May 05 03:00 PM -- 04:00 PM (PDT)
BREAK:
Oral
Wed May 05 04:00 PM -- 04:15 PM (PDT)
Neural Synthesis of Binaural Speech From Mono Audio
Alexander Richard · Dejan Markovic · Israel Gebru · Steven Krenn · Gladstone A Butler · Fernando Torre · Yaser Sheikh
[ Paper ]
Oral
Wed May 05 04:15 PM -- 04:30 PM (PDT)
EigenGame: PCA as a Nash Equilibrium
Ian Gemp · Brian McWilliams · Claire Vernade · Thore Graepel
[ Paper ]
Oral
Wed May 05 04:30 PM -- 04:45 PM (PDT)
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song · Jascha Sohl-Dickstein · Durk Kingma · Abhishek Kumar · Stefano Ermon · Ben Poole
[ Paper ]
Spotlight
Wed May 05 04:45 PM -- 04:55 PM (PDT)
Learning Mesh-Based Simulation with Graph Networks
Tobias Pfaff · Meire Fortunato · Alvaro Sanchez Gonzalez · Peter Battaglia
[ Paper ]
Q&A
Wed May 05 04:55 PM -- 05:05 PM (PDT)
Q&A
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
Benedikt Boecking · Willie Neiswanger · Eric P Xing · Artur Dubrawski
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Mohit Shridhar · Eric Yuan · Marc-Alexandre Cote · Yonatan Bisk · Adam Trischler · Matthew Hausknecht
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Learning to Generate 3D Shapes with Generative Cellular Automata
Dongsu Zhang · Changwoon Choi · Jeonghwan Kim · Young Min Kim
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation
Mrigank Raman · Aaron Chan · Siddhant Agarwal · PeiFeng Wang · Hansen Wang · Sungchul Kim · Ryan Rossi · Handong Zhao · Nedim Lipka · Xiang Ren
[ Slides
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Emergent Symbols through Binding in External Memory
Taylor Webb · Ishan Sinha · Jonathan Cohen
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs
Zhen Han · Peng Chen · Yunpu Ma · Volker Tresp
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection
wu xiongwei · Doyen Sahoo · Steven HOI
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
A Geometric Analysis of Deep Generative Image Models and Its Applications
Binxu Wang · Carlos Ponce
[ Slides
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
CPR: Classifier-Projection Regularization for Continual Learning
Sungmin Cha · Hsiang Hsu · Taebaek Hwang · Flavio Calmon · Taesup Moon
[ Slides
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Combining Physics and Machine Learning for Network Flow Estimation
Arlei Lopes da Silva · Furkan Kocayusufoglu · Saber Jafarpour · Francesco Bullo · Ananthram Swami · Ambuj K Singh
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains
Utkarsh Ojha · Krishna Kumar Singh · Yong Jae Lee
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Efficient Empowerment Estimation for Unsupervised Stabilization
Ruihan Zhao · Kevin Lu · Pieter Abbeel · Stas Tiomkin
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Improved Autoregressive Modeling with Distribution Smoothing
Chenlin Meng · Jiaming Song · Yang Song · Shengjia Zhao · Stefano Ermon
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Evaluating the Disentanglement of Deep Generative Models through Manifold Topology
Sharon Zhou · Eric Zelikman · Fred Lu · Andrew Ng · Gunnar E Carlsson · Stefano Ermon
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition
Yue Meng · Rameswar Panda · Chung-Ching Lin · Prasanna Sattigeri · Leonid Karlinsky · Kate Saenko · Aude Oliva · Rogerio Feris
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers
Shiyang Li · Semih Yavuz · Kazuma Hashimoto · Jia Li · Tong Niu · Nazneen Rajani · Xifeng Yan · Yingbo Zhou · Caiming Xiong
[ Slides
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
AdaSpeech: Adaptive Text to Speech for Custom Voice
Mingjian Chen · Xu Tan · Bohan Li · Eric Liu · Tao Qin · sheng zhao · Tie-Yan Liu
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Simple Augmentation Goes a Long Way: ADRL for DNN Quantization
Lin Ning · Guoyang Chen · Weifeng Zhang · Xipeng Shen
[ Slides
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation
Jungo Kasai · Nikolaos Pappas · Hao Peng · James Cross · Noah Smith
[ Slides
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Adaptive Procedural Task Generation for Hard-Exploration Problems
Kuan Fang · Yuke Zhu · Silvio Savarese · Li Fei-Fei
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Evaluations and Methods for Explanation through Robustness Analysis
Cheng-Yu Hsieh · Chih-Kuan Yeh · Xuanqing Liu · Pradeep K Ravikumar · Seungyeon Kim · Sanjiv Kumar · Cho-Jui Hsieh
[ Slides
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
gradSim: Differentiable simulation for system identification and visuomotor control
Krishna Murthy Jatavallabhula · Miles Macklin · Florian Golemo · Vikram Voleti · Linda Petrini · Martin Weiss · Breandan Considine · Jérôme Parent-Lévesque · Kevin Xie · Kenny Erleben · Liam Paull · Florian Shkurti · Derek Nowrouzezahrai · Sanja Fidler
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Better Fine-Tuning by Reducing Representational Collapse
Armen Aghajanyan · Akshat Shrivastava · Anchit Gupta · Naman Goyal · Luke Zettlemoyer · Sonal Gupta
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
BERTology Meets Biology: Interpreting Attention in Protein Language Models
Jesse Vig · Ali Madani · Lav R Varshney · Caiming Xiong · Richard Socher · Nazneen Rajani
[ Slides
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly
Yuchen Jin · Tianyi Zhou · Liangyu Zhao · Yibo Zhu · Chuanxiong Guo · Marco Canini · Arvind Krishnamurthy
[ Slides
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Economic Hyperparameter Optimization With Blended Search Strategy
Chi Wang · Qingyun Wu · Silu Huang · Amin Saied
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Local Convergence Analysis of Gradient Descent Ascent with Finite Timescale Separation
Tanner Fiez · Lillian J Ratliff
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Robust Overfitting may be mitigated by properly learned smoothening
Tianlong Chen · Zhenyu Zhang · Sijia Liu · Shiyu Chang · Zhangyang Wang
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
DiffWave: A Versatile Diffusion Model for Audio Synthesis
Zhifeng Kong · Wei Ping · Jiaji Huang · Kexin Zhao · Bryan Catanzaro
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Measuring Massive Multitask Language Understanding
Dan Hendrycks · Collin Burns · Steven Basart · Andy Zou · Mantas Mazeika · Dawn Song · Jacob Steinhardt
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Learning Manifold Patch-Based Representations of Man-Made Shapes
Dmitriy Smirnov · Mikhail Bessmeltsev · Justin Solomon
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Filtered Inner Product Projection for Crosslingual Embedding Alignment
Vin Sachidananda · Ziyi Yang · Chenguang Zhu
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness
Sang Michael Xie · Ananya Kumar · Robbie Jones · Fereshte Khani · Tengyu Ma · Percy Liang
[ Slides
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Adaptive Universal Generalized PageRank Graph Neural Network
Eli Chien · Jianhao Peng · Pan Li · Olgica Milenkovic
[ Slides
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
GANs Can Play Lottery Tickets Too
Xuxi Chen · Zhenyu Zhang · Yongduo Sui · Tianlong Chen
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Efficient Conformal Prediction via Cascaded Inference with Expanded Admission
Adam Fisch · Tal Schuster · Tommi Jaakkola · Regina Barzilay
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Efficient Wasserstein Natural Gradients for Reinforcement Learning
Ted Moskovitz · Michael Arbel · Ferenc Huszar · Arthur Gretton
[ Slides
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective
Wuyang Chen · Xinyu Gong · Zhangyang Wang
[ Slides
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks
Haozhi Qi · Xiaolong Wang · Deepak Pathak · Yi Ma · Jitendra Malik
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL
Xiaoyu Chen · Jiachen Hu · Lihong Li · Liwei Wang
[ Slides
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach
Hao Cheng · Zhaowei Zhu · Xingyu Li · Yifei Gong · Xing Sun · Yang Liu
[ Slides
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Individually Fair Gradient Boosting
Alexander Vargo · Fan Zhang · Mikhail Yurochkin · Yuekai Sun
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System
Jianhong Wang · Yuan Zhang · Tae-Kyun Kim · Yunjie Gu
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Effective and Efficient Vote Attack on Capsule Networks
Jindong Gu · Baoyuan Wu · Volker Tresp
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Learning with Feature-Dependent Label Noise: A Progressive Approach
Yikai Zhang · Songzhu Zheng · Pengxiang Wu · Mayank Goswami · Chao Chen
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with $1/n$ Parameters
Aston Zhang · Yi Tay · Shuai Zhang · Alvin Chan · Anh Tuan Luu · Siu Hui · Jie Fu
[ Slides
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving
Yuhuai Wu · Albert Jiang · Jimmy Ba · Roger Grosse
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS
Lin Chen · Sheng Xu
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Conservative Safety Critics for Exploration
Homanga Bharadhwaj · Aviral Kumar · Nicholas Rhinehart · Sergey Levine · Florian Shkurti · Animesh Garg
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Model-Based Visual Planning with Self-Supervised Functional Distances
Stephen Tian · Suraj Nair · Frederik Ebert · Sudeep Dasari · Benjamin Eysenbach · Chelsea Finn · Sergey Levine
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Control-Aware Representations for Model-based Reinforcement Learning
Brandon Cui · Yinlam Chow · Mohammad Ghavamzadeh
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Empirical or Invariant Risk Minimization? A Sample Complexity Perspective
Kartik Ahuja · Jun Wang · Amit Dhurandhar · Karthikeyan Shanmugam · Kush R Varshney
[ Slides
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
On the Critical Role of Conventions in Adaptive Human-AI Collaboration
Andy Shih · Arjun Sawhney · Jovana Kondic · Stefano Ermon · Dorsa Sadigh
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Meta Back-Translation
Hieu Pham · Xinyi Wang · Yiming Yang · Graham Neubig
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Wandering within a world: Online contextualized few-shot learning
Mengye Ren · Michael L Iuzzolino · Michael Mozer · Richard Zemel
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition
Yangming Li · lemao liu · Shuming Shi
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Mixed-Features Vectors and Subspace Splitting
Alejandro Pimentel-Alarcón · Daniel L Pimentel-Alarcón
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Graph-Based Continual Learning
Binh Tang · David S Matteson
[ Slides
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Revisiting Dynamic Convolution via Matrix Decomposition
Yunsheng Li · Yinpeng Chen · Xiyang Dai · mengchen liu · Dongdong Chen · Ye Yu · Lu Yuan · Zicheng Liu · Mei Chen · Nuno Vasconcelos
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Is Attention Better Than Matrix Decomposition?
Zhengyang Geng · Meng-Hao Guo · Hongxu None Chen · Xia Li · Ke Wei · Zhouchen Lin
[ Slides
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Beyond Categorical Label Representations for Image Classification
Boyuan Chen · Yu Li · Sunand Raghupathi · Hod Lipson
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Evolving Reinforcement Learning Algorithms
John Co-Reyes · Yingjie Miao · Daiyi Peng · Esteban Real · Quoc V Le · Sergey Levine · Honglak Lee · Aleksandra Faust
[ Slides
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
NBDT: Neural-Backed Decision Tree
Alvin Wan · Lisa Dunlap · Daniel Ho · Jihan Yin · Scott Lee · Suzanne Petryk · Sarah A Bargal · Joseph E Gonzalez
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Mind the Pad -- CNNs Can Develop Blind Spots
Bilal Alsallakh · Narine Kokhlikyan · Vivek Miglani · Jun Yuan · Orion Reblitz-Richardson
[ Slides
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks
Renjie Liao · Raquel Urtasun · Richard Zemel
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Estimating Lipschitz constants of monotone deep equilibrium models
Chirag Pabbaraju · Ezra Winston · Zico Kolter
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Learning and Evaluating Representations for Deep One-Class Classification
Kihyuk Sohn · Chun-Liang Li · Jinsung Yoon · Minho Jin · Tomas Pfister
[ Slides
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
In Search of Lost Domain Generalization
Ishaan Gulrajani · David Lopez-Paz
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Fast And Slow Learning Of Recurrent Independent Mechanisms
Kanika Madan · Nan Rosemary Ke · Anirudh Goyal · Bernhard Schoelkopf · Yoshua Bengio
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Estimating informativeness of samples with Smooth Unique Information
Hrayr Harutyunyan · Alessandro Achille · Giovanni Paolini · Orchid Majumder · Avinash Ravichandran · Rahul Bhotika · Stefano Soatto
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Protecting DNNs from Theft using an Ensemble of Diverse Models
Sanjay Kariyappa · Atul Prakash · Moinuddin K Qureshi
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Influence Functions in Deep Learning Are Fragile
Samyadeep Basu · Phil Pope · Soheil Feizi
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Task-Agnostic Morphology Evolution
Donald Hejna III · Pieter Abbeel · Lerrel Pinto
[ Paper ]
Oral
Wed May 05 07:00 PM -- 07:15 PM (PDT)
Improved Autoregressive Modeling with Distribution Smoothing
Chenlin Meng · Jiaming Song · Yang Song · Shengjia Zhao · Stefano Ermon
[ Paper ]
Spotlight
Wed May 05 07:15 PM -- 07:25 PM (PDT)
GAN "Steerability" without optimization
Nurit Spingarn Eliezer · Ron Banner · Tomer Michaeli
[ Paper ]
Spotlight
Wed May 05 07:25 PM -- 07:35 PM (PDT)
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
Shengyu Zhao · Jonathan Cui · Yilun Sheng · Yue Dong · Xiao Liang · Eric Chang · Yan Xu
[ Paper ]
Spotlight
Wed May 05 07:35 PM -- 07:45 PM (PDT)
Emergent Symbols through Binding in External Memory
Taylor Webb · Ishan Sinha · Jonathan Cohen
[ Paper ]
Q&A
Wed May 05 07:45 PM -- 07:55 PM (PDT)
Q&A
Oral
Wed May 05 07:55 PM -- 08:10 PM (PDT)
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Xizhou Zhu · Weijie Su · Lewei Lu · Bin Li · Xiaogang Wang · Jifeng Dai
[ Paper ]
Spotlight
Wed May 05 08:10 PM -- 08:20 PM (PDT)
Graph-Based Continual Learning
Binh Tang · David S Matteson
[ Paper ]
Spotlight
Wed May 05 08:20 PM -- 08:30 PM (PDT)
Understanding the role of importance weighting for deep learning
Da Xu · Yuting Ye · Chuanwei Ruan
[ Paper ]
Spotlight
Wed May 05 08:30 PM -- 08:40 PM (PDT)
Towards Robustness Against Natural Language Word Substitutions
Xinshuai Dong · Anh Tuan Luu · Rongrong Ji · Hong Liu
[ Paper ]
Spotlight
Wed May 05 08:40 PM -- 08:50 PM (PDT)
Undistillable: Making A Nasty Teacher That CANNOT teach students
Haoyu Ma · Tianlong Chen · Ting-Kuei Hu · Chenyu You · Xiaohui Xie · Zhangyang Wang
[ Paper ]
Spotlight
Wed May 05 08:50 PM -- 09:00 PM (PDT)
CPT: Efficient Deep Neural Network Training via Cyclic Precision
Yonggan Fu · Han Guo · Meng Li · Xin Yang · Yining Ding · Vikas Chandra · Yingyan Lin
[ Paper ]
Q&A
Wed May 05 09:00 PM -- 09:15 PM (PDT)
Q&A
Spotlight
Wed May 05 09:15 PM -- 09:25 PM (PDT)
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics
Zhiao Huang · Yuanming Hu · Tao Du · Siyuan Zhou · Hao Su · Joshua B Tenenbaum · Chuang Gan
[ Paper ]
Spotlight
Wed May 05 09:25 PM -- 09:35 PM (PDT)
Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control
Zhuang Liu · Xuanlin Li · Bingyi Kang · trevor darrell
[ Paper ]
Spotlight
Wed May 05 09:35 PM -- 09:45 PM (PDT)
Regularized Inverse Reinforcement Learning
Wonseok Jeon · Chen-Yang Su · Paul Barde · Thang Doan · Derek Nowrouzezahrai · Joelle Pineau
[ Paper ]
Spotlight
Wed May 05 09:45 PM -- 09:55 PM (PDT)
Behavioral Cloning from Noisy Demonstrations
Fumihiro Sasaki · Ryota Yamashina
[ Paper ]
Q&A
Wed May 05 09:55 PM -- 10:05 PM (PDT)
Q&A
Break
Wed May 05 10:15 PM -- 10:15 PM (PDT)
BREAK:
Oral
Thu May 06 12:00 AM -- 12:15 AM (PDT)
Rethinking Architecture Selection in Differentiable NAS
Ruochen Wang · Minhao Cheng · Xiangning Chen · Xiaocheng Tang · Cho-Jui Hsieh
[ Paper ]
Session
Thu May 06 12:00 AM -- 01:05 AM (PDT)
Outstanding Paper Session 2
Oral
Thu May 06 12:15 AM -- 12:30 AM (PDT)
Complex Query Answering with Neural Link Predictors
Erik Arakelyan · Daniel Daza · Pasquale Minervini · Michael Cochez
[ Paper ]
Oral
Thu May 06 12:30 AM -- 12:45 AM (PDT)
Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime
Atsushi Nitanda · Taiji Suzuki
[ Paper ]
Spotlight
Thu May 06 12:45 AM -- 12:55 AM (PDT)
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with $1/n$ Parameters
Aston Zhang · Yi Tay · Shuai Zhang · Alvin Chan · Anh Tuan Luu · Siu Hui · Jie Fu
[ Paper ]
Q&A
Thu May 06 12:55 AM -- 01:05 AM (PDT)
Q&A
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Learning continuous-time PDEs from sparse data with graph neural networks
Valerii Iakovlev · Markus Heinonen · Harri Lähdesmäki
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Adversarially Guided Actor-Critic
Yannis Flet-Berliac · Johan Ferret · Olivier Pietquin · philippe preux · Matthieu Geist
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Balancing Constraints and Rewards with Meta-Gradient D4PG
Dan A. Calian · Daniel J Mankowitz · Tom Zahavy · Zhongwen Xu · Junhyuk Oh · Nir Levine · Timothy A Mann
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang · Lu Liu · Min Xu
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Learning Neural Generative Dynamics for Molecular Conformation Generation
Minkai Xu · Shitong Luo · Yoshua Bengio · Jian Peng · Jian Tang
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima
Zeke Xie · Issei Sato · Masashi Sugiyama
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search
Peidong Liu · Gengwei Zhang · Bochao Wang · Hang Xu · Xiaodan Liang · Yong Jiang · Zhenguo Li
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Do not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning
Da Yu · Huishuai Zhang · Wei Chen · Tie-Yan Liu
[ Slides
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Colorization Transformer
Manoj Kumar · Dirk Weissenborn · Nal Kalchbrenner
[ Slides
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models
Justin Bayer · Maximilian Soelch · Atanas Mirchev · Baris Kayalibay · Patrick van der Smagt
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights
Byeongho Heo · Sanghyuk Chun · Seong Joon Oh · Dongyoon Han · Sangdoo Yun · Gyuwan Kim · Youngjung Uh · Jung-Woo Ha
[ Slides
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
GAN "Steerability" without optimization
Nurit Spingarn Eliezer · Ron Banner · Tomer Michaeli
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Private Image Reconstruction from System Side Channels Using Generative Models
Yuanyuan Yuan · Shuai Wang · Junping Zhang
[ Slides
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
The inductive bias of ReLU networks on orthogonally separable data
Mary Phuong · Christoph H Lampert
[ Slides
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
IOT: Instance-wise Layer Reordering for Transformer Structures
Jinhua Zhu · Lijun Wu · Yingce Xia · Shufang Xie · Tao Qin · Wengang Zhou · Houqiang Li · Tie-Yan Liu
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime
Atsushi Nitanda · Taiji Suzuki
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Counterfactual Generative Networks
Axel Sauer · Andreas Geiger
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Impact of Representation Learning in Linear Bandits
Jiaqi Yang · Wei Hu · Jason Lee · Simon Du
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Contrastive Divergence Learning is a Time Reversal Adversarial Game
Omer Yair · Tomer Michaeli
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Ossama Ahmed · Frederik Träuble · Anirudh Goyal · Alexander Neitz · Manuel Wuthrich · Yoshua Bengio · Bernhard Schoelkopf · Stefan Bauer
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Categorical Normalizing Flows via Continuous Transformations
Phillip Lippe · Efstratios Gavves
[ Slides
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
An Unsupervised Deep Learning Approach for Real-World Image Denoising
Dihan Zheng · Sia Huat Tan · Xiaowen Zhang · Zuoqiang Shi · Kaisheng Ma · Chenglong Bao
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Latent Convergent Cross Mapping
Edward De Brouwer · Adam Arany · Jaak Simm · Yves Moreau
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Incremental few-shot learning via vector quantization in deep embedded space
Kuilin Chen · Chi-Guhn Lee
[ Slides
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Kanerva++: Extending the Kanerva Machine With Differentiable, Locally Block Allocated Latent Memory
Jason Ramapuram · Yan Wu · Alexandros Kalousis
[ Slides
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Network Pruning That Matters: A Case Study on Retraining Variants
Duong Le · Binh-Son Hua
[ Slides
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Learning Deep Features in Instrumental Variable Regression
Liyuan Xu · Yutian Chen · Siddarth Srinivasan · Nando de Freitas · Arnaud Doucet · Arthur Gretton
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Distilling Knowledge from Reader to Retriever for Question Answering
Gautier Izacard · Edouard Grave
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Genetic Soft Updates for Policy Evolution in Deep Reinforcement Learning
Enrico Marchesini · Davide Corsi · Alessandro Farinelli
[ Slides
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Understanding the effects of data parallelism and sparsity on neural network training
Namhoon Lee · Thalaiyasingam Ajanthan · Philip Torr · Martin Jaggi
[ Slides
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Practical Massively Parallel Monte-Carlo Tree Search Applied to Molecular Design
Xiufeng Yang · Tanuj Aasawat · Kazuki Yoshizoe
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Sparse Quantized Spectral Clustering
Zhenyu Liao · Romain Couillet · Michael W Mahoney
[ Slides
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Continual learning in recurrent neural networks
Benjamin Ehret · Christian Henning · Maria Cervera · Alexander Meulemans · Johannes von Oswald · Benjamin F Grewe
[ Slides
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Xizhou Zhu · Weijie Su · Lewei Lu · Bin Li · Xiaogang Wang · Jifeng Dai
[ Paper ]