Srinivas, Aravind

14 publications

CVPR 2021 Bottleneck Transformers for Visual Recognition Aravind Srinivas, Tsung-Yi Lin, Niki Parmar, Jonathon Shlens, Pieter Abbeel, Ashish Vaswani

NeurIPS 2021 Decision Transformer: Reinforcement Learning via Sequence Modeling Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Misha Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch

ICMLW 2021 Decision Transformer: Reinforcement Learning via Sequence Modeling Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch

NeurIPS 2021 Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings Lili Chen, Kimin Lee, Aravind Srinivas, Pieter Abbeel

NeurIPS 2021 Reinforcement Learning with Latent Flow Wenling Shang, Xiaofei Wang, Aravind Srinivas, Aravind Rajeswaran, Yang Gao, Pieter Abbeel, Misha Laskin

NeurIPS 2021 Revisiting ResNets: Improved Training and Scaling Strategies Irwan Bello, William Fedus, Xianzhi Du, Ekin Dogus Cubuk, Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, Barret Zoph

ICML 2021 SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning Kimin Lee, Michael Laskin, Aravind Srinivas, Pieter Abbeel

CVPR 2021 Scaling Local Self-Attention for Parameter Efficient Visual Backbones Ashish Vaswani, Prajit Ramachandran, Aravind Srinivas, Niki Parmar, Blake Hechtman, Jonathon Shlens

CVPR 2021 SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning Colorado J Reed, Sean Metzger, Aravind Srinivas, Trevor Darrell, Kurt Keutzer

CVPR 2021 Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph

ICML 2020 CURL: Contrastive Unsupervised Representations for Reinforcement Learning Michael Laskin, Aravind Srinivas, Pieter Abbeel

NeurIPS 2020 Reinforcement Learning with Augmented Data Misha Laskin, Kimin Lee, Adam Stooke, Lerrel Pinto, Pieter Abbeel, Aravind Srinivas

ICML 2019 Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel

ICML 2018 Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control Aravind Srinivas, Allan Jabri, Pieter Abbeel, Sergey Levine, Chelsea Finn