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(17 events)   Time zone: Conference local time zone  
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The 2021 schedule is still incomplete
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Oral
Wed May 05 08:00 PM -- 08:15 PM (CEST)
Human-Level Performance in No-Press Diplomacy via Equilibrium Search
Jonathan Gray · Adam Lerer · Anton Bakhtin · Noam Brown
[ Paper ]
Oral
Wed May 05 08:15 PM -- 08:30 PM (CEST)
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 08:30 PM -- 08:45 PM (CEST)
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Amy Zhang · Rowan T McAllister · Roberto Calandra · Yarin Gal · Sergey Levine
[ Paper ]
Oral
Wed May 05 08:45 PM -- 09:00 PM (CEST)
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 09:00 PM -- 09:10 PM (CEST)
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Denis Yarats · Ilya Kostrikov · Rob Fergus
[ Paper ]
Q&A
Wed May 05 09:10 PM -- 09:23 PM (CEST)
Q&A
Oral
Wed May 05 09:23 PM -- 09:38 PM (CEST)
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 09:38 PM -- 09:48 PM (CEST)
Sequential Density Ratio Estimation for Simultaneous Optimization of Speed and Accuracy
Akinori Ebihara · Taiki Miyagawa · Kazuyuki Sakurai · Hitoshi Imaoka
[ Paper ]
Spotlight
Wed May 05 09:48 PM -- 09:58 PM (CEST)
LambdaNetworks: Modeling long-range Interactions without Attention
Irwan Bello
[ Paper ]
Spotlight
Wed May 05 09:58 PM -- 10:08 PM (CEST)
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 10:08 PM -- 10:18 PM (CEST)
Q&A
Spotlight
Wed May 05 10:18 PM -- 10:28 PM (CEST)
Unsupervised Object Keypoint Learning using Local Spatial Predictability
Anand Gopalakrishnan · Sjoerd van Steenkiste · Jürgen Schmidhuber
[ Paper ]
Spotlight
Wed May 05 10:28 PM -- 10:38 PM (CEST)
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models
Zhisheng Xiao · Karsten Kreis · Jan Kautz · Arash Vahdat
[ Paper ]
Spotlight
Wed May 05 10:38 PM -- 10:48 PM (CEST)
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 10:48 PM -- 10:58 PM (CEST)
A Gradient Flow Framework For Analyzing Network Pruning
Ekdeep Singh Lubana · Robert Dick
[ Paper ]
Spotlight
Wed May 05 10:58 PM -- 11:08 PM (CEST)
Differentially Private Learning Needs Better Features (or Much More Data)
Florian Tramer · Dan Boneh
[ Paper ]
Q&A
Wed May 05 11:08 PM -- 11:21 PM (CEST)
Q&A