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Dataset Distillation using Neural Feature Regression


Jun 01, 2022
Yongchao Zhou, Ehsan Nezhadarya, Jimmy Ba


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You Can't Count on Luck: Why Decision Transformers Fail in Stochastic Environments


May 31, 2022
Keiran Paster, Sheila McIlraith, Jimmy Ba


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High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation


May 03, 2022
Jimmy Ba, Murat A. Erdogdu, Taiji Suzuki, Zhichao Wang, Denny Wu, Greg Yang

* 71 pages 

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Learning Domain Invariant Representations in Goal-conditioned Block MDPs


Oct 28, 2021
Beining Han, Chongyi Zheng, Harris Chan, Keiran Paster, Michael R. Zhang, Jimmy Ba

* NeurIPS2021 
* 33 pages 

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Clockwork Variational Autoencoders


Feb 20, 2021
Vaibhav Saxena, Jimmy Ba, Danijar Hafner

* 17 pages, 12 figures, 4 tables 

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Clockwork Variational Autoencoders for Video Prediction


Feb 18, 2021
Vaibhav Saxena, Jimmy Ba, Danijar Hafner

* 17 pages, 12 figures, 4 tables 

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LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning


Jan 15, 2021
Yuhuai Wu, Markus Rabe, Wenda Li, Jimmy Ba, Roger Grosse, Christian Szegedy

* 16 pages 

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Noisy Labels Can Induce Good Representations


Dec 23, 2020
Jingling Li, Mozhi Zhang, Keyulu Xu, John P. Dickerson, Jimmy Ba

* 27 pages, 13 figures 

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Evaluating Agents without Rewards


Dec 21, 2020
Brendon Matusch, Jimmy Ba, Danijar Hafner

* 15 pages, 6 figures, 5 tables 

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Planning from Pixels using Inverse Dynamics Models


Dec 04, 2020
Keiran Paster, Sheila A. McIlraith, Jimmy Ba

* 9 pages, 4 figures 

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