Skip to yearly menu bar Skip to main content


(17 events)   Timezone:  
Show all
The 2021 schedule is still incomplete
Toggle Poster Visibility
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