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The 2021 schedule is still incomplete
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Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning
In Poster Session 01
Dong Bok Lee · Dongchan Min · Seanie Lee · Sung Ju Hwang
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Parameter-Based Value Functions
In Poster Session 01
Francesco Faccio · Louis Kirsch · Jürgen Schmidhuber
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning
In Poster Session 01
Nanyi Fei · Zhiwu Lu · Tao Xiang · Songfang Huang
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
In Poster Session 01
Pim De Haan · Maurice Weiler · Taco Cohen · Max Welling
[ Slides] 
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Batch Reinforcement Learning Through Continuation Method
In Poster Session 01
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)
Temporally-Extended ε-Greedy Exploration
In Poster Session 01
Will Dabney · Georg Ostrovski · Andre Barreto
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
Implicit Normalizing Flows
In Poster Session 01
Cheng Lu · Jianfei Chen · Chongxuan Li · Qiuhao Wang · Jun Zhu
[ Slides] 
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
Progressive Skeletonization: Trimming more fat from a network at initialization
In Poster Session 01
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) @ Virtual
Randomized Ensembled Double Q-Learning: Learning Fast Without a Model
In Poster Session 01
Xinyue Chen · Che Wang · Zijian Zhou · Keith Ross
[ Slides] 
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Noise against noise: stochastic label noise helps combat inherent label noise
In Poster Session 01
Pengfei Chen · Guangyong Chen · Junjie Ye · jingwei zhao · Pheng-Ann Heng
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
ResNet After All: Neural ODEs and Their Numerical Solution
In Poster Session 01
Katharina Ott · Prateek Katiyar · Philipp Hennig · Michael Tiemann
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
MetaNorm: Learning to Normalize Few-Shot Batches Across Domains
In Poster Session 01
Yingjun Du · Xiantong Zhen · Ling Shao · Cees G Snoek
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
On InstaHide, Phase Retrieval, and Sparse Matrix Factorization
In Poster Session 01
Sitan Chen · Xiaoxiao Li · Zhao Song · Danyang Zhuo
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
On the Universality of the Double Descent Peak in Ridgeless Regression
In Poster Session 01
David Holzmüller
[ Slides] 
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Overfitting for Fun and Profit: Instance-Adaptive Data Compression
In Poster Session 01
Ties van Rozendaal · Iris Huijben · Taco Cohen
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Solving Compositional Reinforcement Learning Problems via Task Reduction
In Poster Session 01
Yunfei Li · Yilin Wu · Huazhe Xu · Xiaolong Wang · Yi Wu
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Interpreting and Boosting Dropout from a Game-Theoretic View
In Poster Session 01
Hao Zhang · Sen Li · YinChao Ma · Mingjie Li · Yichen Xie · Quanshi Zhang
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Stabilized Medical Image Attacks
In Poster Session 01
Gege Qi · Lijun GONG · Yibing Song · Kai Ma · Yefeng Zheng
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
Neural Jump Ordinary Differential Equations: Consistent Continuous-Time Prediction and Filtering
In Poster Session 01
Calypso Herrera · Florian Krach · Josef Teichmann
[ Slides] 
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Spatially Structured Recurrent Modules
In Poster Session 01
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)
Neural Approximate Sufficient Statistics for Implicit Models
In Poster Session 01
Yanzhi Chen · Dinghuai Zhang · Michael U Gutmann · Aaron Courville · Zhanxing Zhu
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
QPLEX: Duplex Dueling Multi-Agent Q-Learning
In Poster Session 01
Jianhao Wang · Zhizhou Ren · Terry Liu · Yang Yu · Chongjie Zhang
[ Slides] 
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
Does enhanced shape bias improve neural network robustness to common corruptions?
In Poster Session 01
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
In Poster Session 01
Matan Atzmon · Yaron Lipman
[ Slides] 
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
Isometric Transformation Invariant and Equivariant Graph Convolutional Networks
In Poster Session 01
Masanobu Horie · Naoki Morita · Toshiaki Hishinuma · Yu Ihara · Naoto Mitsume
[ Slides] 
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
Wasserstein Embedding for Graph Learning
In Poster Session 01
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
In Poster Session 01
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) @ Virtual
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets
In Poster Session 01
Hayeon Lee · Eunyoung Hyung · Sung Ju Hwang
[ Slides] 
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Revisiting Locally Supervised Learning: an Alternative to End-to-end Training
In Poster Session 01
Yulin Wang · Zanlin Ni · Shiji Song · Le Yang · Gao Huang
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
In Poster Session 01
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
In Poster Session 01
Tuan Anh Nguyen · Anh T Tran
[ Slides] 
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization
In Poster Session 01
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) @ Virtual
Towards Robust Neural Networks via Close-loop Control
In Poster Session 01
Zhuotong Chen · Qianxiao Li · Zheng Zhang
[ Slides] 
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Exploring Balanced Feature Spaces for Representation Learning
In Poster Session 01
Bingyi Kang · Yu Li · Sain Xie · Zehuan Yuan · Jiashi Feng
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
Rethinking the Role of Gradient-based Attribution Methods for Model Interpretability
In Poster Session 01
Suraj Srinivas · François Fleuret
[ Slides] 
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Semantic Re-tuning with Contrastive Tension
In Poster Session 01
Fredrik Carlsson · Amaru C Gyllensten · Evangelia Gogoulou · Erik Y Hellqvist · Magnus Sahlgren
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Towards Robustness Against Natural Language Word Substitutions
In Poster Session 01
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
In Poster Session 01
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
In Poster Session 01
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)
Trusted Multi-View Classification
In Poster Session 01
Zongbo Han · Changqing Zhang · Huazhu FU · Joey T Zhou
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Towards Impartial Multi-task Learning
In Poster Session 01
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)
A Unified Approach to Interpreting and Boosting Adversarial Transferability
In Poster Session 01
Xin Wang · Jie Ren · Shuyun Lin · Xiangming Zhu · Yisen Wang · Quanshi Zhang
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study
In Poster Session 01
Zhiqiang Shen · Zhiqiang Shen · Dejia Xu · Zitian Chen · Kwang-Ting Cheng · Marios Savvides
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Set Prediction without Imposing Structure as Conditional Density Estimation
In Poster Session 01
David Zhang · Gertjan J Burghouts · Cees G Snoek
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
What Makes Instance Discrimination Good for Transfer Learning?
In Poster Session 01
Nanxuan Zhao · Zhirong Wu · Rynson W Lau · Stephen Lin
[ 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
In Poster Session 01
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)
Training with Quantization Noise for Extreme Model Compression
In Poster Session 01
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) @ Virtual
Domain Generalization with MixStyle
In Poster Session 01
Kaiyang Zhou · Yongxin Yang · Yu Qiao · Tao Xiang
[ Slides] 
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
Mutual Information State Intrinsic Control
In Poster Session 01
Rui Zhao · Yang Gao · Pieter Abbeel · Volker Tresp · Wei Xu
[ Slides] 
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
On the Transfer of Disentangled Representations in Realistic Settings
In Poster Session 01
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
LEAF: A Learnable Frontend for Audio Classification
In Poster Session 01
Neil Zeghidour · Olivier Teboul · Félix de Chaumont Quitry · Marco Tagliasacchi
[ Slides] 
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data
In Poster Session 01
Francesco Tonolini · Pablo Garcia Moreno · Andreas Damianou · Roderick Murray-Smith
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT) @ Virtual
Wasserstein-2 Generative Networks
In Poster Session 01
Alexander Korotin · Vage Egiazarian · Arip Asadulaev · Alexander Safin · Evgeny Burnaev
[ Slides] 
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs
In Poster Session 01
Cheng Wang · Carolin Lawrence · Mathias Niepert
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach
In Poster Session 01
Malik Tiomoko · Hafiz Tiomoko Ali · Romain Couillet
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits
In Poster Session 01
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)
The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods
In Poster Session 01
Louis THIRY · Michael Arbel · Eugene Belilovsky · Edouard Oyallon
[ 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
In Poster Session 01
Linfeng Zhang · Kaisheng Ma
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space
In Poster Session 01
Tsz Him Cheung · Dit-Yan Yeung
[ 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
In Poster Session 01
Patrick Kidger · Terry Lyons
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders
In Poster Session 01
Pengyu Cheng · Weituo Hao · Siyang Yuan · Shijing Si · Lawrence Carin
[ Paper ]
Poster
Mon May 03 01:00 AM -- 03:00 AM (PDT)
Scalable Transfer Learning with Expert Models
In Poster Session 01
Joan Puigcerver i Perez · Carlos Riquelme · Basil Mustafa · Cedric Renggli · André Susano Pinto · Sylvain Gelly · Daniel Keysers · Neil Houlsby
[ Paper ]