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(17 events)   Timezone: America/Los_Angeles  
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The 2021 schedule is still incomplete
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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 ]
Q&A
Wed May 05 02:08 PM -- 02:21 PM (PDT)
Q&A