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Efficient Planning in a Compact Latent Action Space


Aug 25, 2022
Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian

* Code available at https://github.com/ZhengyaoJiang/latentplan 

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AutoShard: Automated Embedding Table Sharding for Recommender Systems


Aug 12, 2022
Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu

* Accepted by KDD 2022. Code available at https://github.com/daochenzha/autoshard 

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Denoised MDPs: Learning World Models Better Than the World Itself


Jul 18, 2022
Tongzhou Wang, Simon S. Du, Antonio Torralba, Phillip Isola, Amy Zhang, Yuandong Tian

* Project page: https://ssnl.github.io/denoised_mdp/ Code: https://github.com/facebookresearch/denoised_mdp 

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Understanding the Role of Nonlinearity in Training Dynamics of Contrastive Learning


Jun 02, 2022
Yuandong Tian


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On the Importance of Asymmetry for Siamese Representation Learning


Apr 01, 2022
Xiao Wang, Haoqi Fan, Yuandong Tian, Daisuke Kihara, Xinlei Chen

* 11 pages, CVPR 2022 

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Understanding Curriculum Learning in Policy Optimization for Solving Combinatorial Optimization Problems


Feb 11, 2022
Runlong Zhou, Yuandong Tian, Yi Wu, Simon S. Du

* 28 pages, 8 figures 

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Deep Contrastive Learning is Provably (almost) Principal Component Analysis


Jan 29, 2022
Yuandong Tian


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Learning Bounded Context-Free-Grammar via LSTM and the Transformer:Difference and Explanations


Dec 16, 2021
Hui Shi, Sicun Gao, Yuandong Tian, Xinyun Chen, Jishen Zhao

* Accepted By AAAI22 

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