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VideoGPT: Video Generation using VQ-VAE and Transformers


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

* 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

* 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

* 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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Evaluating Self-Supervised Pretraining Without Using Labels


Sep 16, 2020
Colorado Reed, Sean Metzger, Aravind Srinivas, Trevor Darrell, Kurt Keutzer


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SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning


Jul 09, 2020
Kimin Lee, Michael Laskin, Aravind Srinivas, Pieter Abbeel


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Reinforcement Learning with Augmented Data


May 11, 2020
Michael Laskin, Kimin Lee, Adam Stooke, Lerrel Pinto, Pieter Abbeel, Aravind Srinivas

* First two authors contributed equally, website: https://mishalaskin.github.io/rad code: https://github.com/MishaLaskin/rad and https://github.com/pokaxpoka/rad_procgen 

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CURL: Contrastive Unsupervised Representations for Reinforcement Learning


Apr 28, 2020
Aravind Srinivas, Michael Laskin, Pieter Abbeel

* First two authors contributed equally, website: https://mishalaskin.github.io/curl code: https://github.com/MishaLaskin/curl 

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Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design


Feb 01, 2019
Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel

* 16 pages 

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Universal Planning Networks


Apr 04, 2018
Aravind Srinivas, Allan Jabri, Pieter Abbeel, Sergey Levine, Chelsea Finn

* Videos available at https://sites.google.com/view/upn-public/home 

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