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Decision Transformer: Reinforcement Learning via Sequence Modeling


Jun 24, 2021
Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch

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* First two authors contributed equally. Last two authors advised equally 

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VideoGPT: Video Generation using VQ-VAE and Transformers


Apr 20, 2021
Wilson Yan, Yunzhi Zhang, Pieter Abbeel, Aravind Srinivas

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* Project website: https://wilson1yan.github.io/videogpt/index.html 

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Scaling Local Self-Attention for Parameter Efficient Visual Backbones


Mar 30, 2021
Ashish Vaswani, Prajit Ramachandran, Aravind Srinivas, Niki Parmar, Blake Hechtman, Jonathon Shlens

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* CVPR 2021 Oral 

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Revisiting ResNets: Improved Training and Scaling Strategies


Mar 13, 2021
Irwan Bello, William Fedus, Xianzhi Du, Ekin D. Cubuk, Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, Barret Zoph

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Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings


Mar 04, 2021
Lili Chen, Kimin Lee, Aravind Srinivas, Pieter Abbeel

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Bottleneck Transformers for Visual Recognition


Jan 27, 2021
Aravind Srinivas, Tsung-Yi Lin, Niki Parmar, Jonathon Shlens, Pieter Abbeel, Ashish Vaswani

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* Technical Report, 20 pages, 13 figures, 19 tables 

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Reinforcement Learning with Latent Flow


Jan 06, 2021
Wenling Shang, Xiaofei Wang, Aravind Srinivas, Aravind Rajeswaran, Yang Gao, Pieter Abbeel, Michael Laskin

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Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation


Dec 13, 2020
Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph

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D2RL: Deep Dense Architectures in Reinforcement Learning


Oct 19, 2020
Samarth Sinha, Homanga Bharadhwaj, Aravind Srinivas, Animesh Garg

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