Aravind Srinivas

29 papers A* 13Journal 16

Year	Rank	Type	Title / Venue / Authors
2021	A*	`conf`	Bottleneck Transformers for Visual Recognition. CVPR Aravind Srinivas, Tsung-Yi Lin, Niki Parmar, Jonathon Shlens, Pieter Abbeel, Ashish Vaswani
2021	J	`jnl`	Bottleneck Transformers for Visual Recognition. CoRR Aravind Srinivas, Tsung-Yi Lin, Niki Parmar, Jonathon Shlens, Pieter Abbeel, Ashish Vaswani
2021	A*	`conf`	Decision Transformer: Reinforcement Learning via Sequence Modeling. NeurIPS Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch
2021	J	`jnl`	Decision Transformer: Reinforcement Learning via Sequence Modeling. CoRR Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch
2021	A*	`conf`	Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings. NeurIPS Lili Chen, Kimin Lee, Aravind Srinivas, Pieter Abbeel
2021	J	`jnl`	Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings. CoRR Lili Chen, Kimin Lee, Aravind Srinivas, Pieter Abbeel
2021	A*	`conf`	Reinforcement Learning with Latent Flow. NeurIPS Wenling Shang, Xiaofei Wang, Aravind Srinivas, Aravind Rajeswaran, Yang Gao, Pieter Abbeel, Michael Laskin
2021	J	`jnl`	Reinforcement Learning with Latent Flow. CoRR Wenling Shang, Xiaofei Wang, Aravind Srinivas, Aravind Rajeswaran, Yang Gao, Pieter Abbeel, Michael Laskin
2021	A*	`conf`	Revisiting ResNets: Improved Training and Scaling Strategies. NeurIPS Irwan Bello, William Fedus, Xianzhi Du, Ekin Dogus Cubuk, Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, Barret Zoph
2021	J	`jnl`	Revisiting ResNets: Improved Training and Scaling Strategies. CoRR Irwan Bello, William Fedus, Xianzhi Du, Ekin D. Cubuk, Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, Barret Zoph
2021	A*	`conf`	SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning. ICML Kimin Lee, Michael Laskin, Aravind Srinivas, Pieter Abbeel
2021	A*	`conf`	Scaling Local Self-Attention for Parameter Efficient Visual Backbones. CVPR Ashish Vaswani, Prajit Ramachandran, Aravind Srinivas, Niki Parmar, Blake A. Hechtman, Jonathon Shlens
2021	J	`jnl`	Scaling Local Self-Attention for Parameter Efficient Visual Backbones. CoRR Ashish Vaswani, Prajit Ramachandran, Aravind Srinivas, Niki Parmar, Blake A. Hechtman, Jonathon Shlens
2021	A*	`conf`	SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning. CVPR Colorado J. Reed, Sean Metzger, Aravind Srinivas, Trevor Darrell, Kurt Keutzer
2021	A*	`conf`	Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation. CVPR Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph
2021	J	`jnl`	VideoGPT: Video Generation using VQ-VAE and Transformers. CoRR Wilson Yan, Yunzhi Zhang, Pieter Abbeel, Aravind Srinivas
2020	A*	`conf`	CURL: Contrastive Unsupervised Representations for Reinforcement Learning. ICML Michael Laskin, Aravind Srinivas, Pieter Abbeel
2020	J	`jnl`	CURL: Contrastive Unsupervised Representations for Reinforcement Learning. CoRR Aravind Srinivas, Michael Laskin, Pieter Abbeel
2020	J	`jnl`	D2RL: Deep Dense Architectures in Reinforcement Learning. CoRR Samarth Sinha, Homanga Bharadhwaj, Aravind Srinivas, Animesh Garg
2020	J	`jnl`	Evaluating Self-Supervised Pretraining Without Using Labels. CoRR Colorado Reed, Sean Metzger, Aravind Srinivas, Trevor Darrell, Kurt Keutzer
2020	A*	`conf`	Reinforcement Learning with Augmented Data. NeurIPS Michael Laskin, Kimin Lee, Adam Stooke, Lerrel Pinto, Pieter Abbeel, Aravind Srinivas
2020	J	`jnl`	Reinforcement Learning with Augmented Data. CoRR Michael Laskin, Kimin Lee, Adam Stooke, Lerrel Pinto, Pieter Abbeel, Aravind Srinivas
2020	J	`jnl`	SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning. CoRR Kimin Lee, Michael Laskin, Aravind Srinivas, Pieter Abbeel
2020	J	`jnl`	Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation. CoRR Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph
2019	J	`jnl`	Data-Efficient Image Recognition with Contrastive Predictive Coding. CoRR Olivier J. Hénaff, Aravind Srinivas, Jeffrey De Fauw, Ali Razavi, Carl Doersch, S. M. Ali Eslami, Aäron van den Oord
2019	A*	`conf`	Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design. ICML Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel
2019	J	`jnl`	Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design. CoRR Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel
2018	J	`jnl`	Universal Planning Networks. CoRR Aravind Srinivas, Allan Jabri, Pieter Abbeel, Sergey Levine, Chelsea Finn
2018	A*	`conf`	Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control. ICML Aravind Srinivas, Allan Jabri, Pieter Abbeel, Sergey Levine, Chelsea Finn