Aravind Srinivas

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All published works

Action	Title	Year	Authors
+	Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings	2021	Li-Li Chen Kimin Lee Aravind Srinivas Pieter Abbeel
+ PDF Chat	Bottleneck Transformers for Visual Recognition	2021	Aravind Srinivas Tsung-Yi Lin Niki Parmar Jonathon Shlens Pieter Abbeel Ashish Vaswani
+ PDF Chat	Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation	2021	Golnaz Ghiasi Yin Cui Aravind Srinivas Rui Qian Tsung-Yi Lin Ekin D. Cubuk Quoc V. Le Barret Zoph
+ PDF Chat	Scaling Local Self-Attention for Parameter Efficient Visual Backbones	2021	Ashish Vaswani Prajit Ramachandran Aravind Srinivas Niki Parmar Blake A. Hechtman Jonathon Shlens
+ PDF Chat	SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning	2021	Colorado Reed Sean L. Metzger Aravind Srinivas Trevor Darrell Kurt Keutzer
+	D2RL: Deep Dense Architectures in Reinforcement Learning	2021	Samarth Sinha Homanga Bharadhwaj Aravind Srinivas Animesh Garg
+	Scaling Local Self-Attention for Parameter Efficient Visual Backbones	2021	Ashish Vaswani Prajit Ramachandran Aravind Srinivas Niki Parmar Blake A. Hechtman Jonathon Shlens
+	Bottleneck Transformers for Visual Recognition	2021	Aravind Srinivas Tsung-Yi Lin Niki Parmar Jonathon Shlens Pieter Abbeel Ashish Vaswani
+	Reinforcement Learning with Latent Flow	2021	Wenling Shang Xiaofei Wang Aravind Srinivas Aravind Rajeswaran Yang Gao Pieter Abbeel Michael Laskin
+	Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings	2021	Lili Chen Kimin Lee Aravind Srinivas Pieter Abbeel
+	Revisiting ResNets: Improved Training and Scaling Strategies	2021	Irwan Bello William Fedus Xianzhi Du Ekin D. Cubuk Aravind Srinivas Tsung-Yi Lin Jonathon Shlens Barret Zoph
+	VideoGPT: Video Generation using VQ-VAE and Transformers	2021	Wilson Yan Yunzhi Zhang Pieter Abbeel Aravind Srinivas
+	Decision Transformer: Reinforcement Learning via Sequence Modeling	2021	Lili Chen Kevin Lü Aravind Rajeswaran Kimin Lee Aditya Grover Michael Laskin Pieter Abbeel Aravind Srinivas Igor Mordatch
+	Reinforcement Learning with Latent Flow	2021	Wenling Shang Xiaofei Wang Aravind Rajeswaran Aravind Srinivas Yang Gao Pieter Abbeel Michael Laskin
+	Scaling Local Self-Attention for Parameter Efficient Visual Backbones	2021	Ashish Vaswani Prajit Ramachandran Aravind Srinivas Niki Parmar Blake A. Hechtman Jonathon Shlens
+	Bottleneck Transformers for Visual Recognition	2021	Aravind Srinivas Tsung-Yi Lin Niki Parmar Jonathon Shlens Pieter Abbeel Ashish Vaswani
+	Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation	2020	Golnaz Ghiasi Yin Cui Aravind Srinivas Rui Qian Tsung-Yi Lin Ekin D. Cubuk Quoc V. Le Barret Zoph
+	Evaluating Self-Supervised Pretraining Without Using Labels	2020	Colorado Reed Sean L. Metzger Aravind Srinivas Trevor Darrell Kurt Keutzer
+	SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning.	2020	Colorado Reed Sean L. Metzger Aravind Srinivas Trevor Darrell Kurt Keutzer
+	CURL: Contrastive Unsupervised Representations for Reinforcement Learning	2020	Aravind Srinivas Michael Laskin Pieter Abbeel
+	Reinforcement Learning with Augmented Data	2020	Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel Aravind Srinivas
+	CURL: Contrastive Unsupervised Representations for Reinforcement Learning	2020	Aravind Srinivas Michael Laskin Pieter Abbeel
+	SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning	2020	Kimin Lee Michael Laskin Aravind Srinivas Pieter Abbeel
+	D2RL: Deep Dense Architectures in Reinforcement Learning	2020	Samarth Sinha Homanga Bharadhwaj Aravind Srinivas Animesh Garg
+	SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning	2020	Colorado Reed Sean Metzger Aravind Srinivas Trevor Darrell Kurt Keutzer
+	Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation	2020	Golnaz Ghiasi Yin Cui Aravind Srinivas Rui Qian Tsung-Yi Lin Ekin D. Cubuk Quoc V. Le Barret Zoph
+	Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design	2019	Jonathan Ho Xi Chen Aravind Srinivas Yan Duan Pieter Abbeel
+	Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design	2019	Jonathan Ho Xi Chen Aravind Srinivas Yan Duan Pieter Abbeel
+	Data-Efficient Image Recognition with Contrastive Predictive Coding	2019	Olivier J. Hénaff Aravind Srinivas Jeffrey De Fauw Ali Razavi Carl Doersch S. M. Ali Eslami Aäron van den Oord
+	Universal Planning Networks	2018	Aravind Srinivas Allan Jabri Pieter Abbeel Sergey Levine Chelsea Finn
+	Universal Planning Networks	2018	Aravind Srinivas Allan Jabri Pieter Abbeel Sergey Levine Chelsea Finn
+	Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning	2017	Sahil Sharma Aravind Srinivas Balaraman Ravindran
+	Dynamic Frame skip Deep Q Network	2016	Aravind Srinivas Sahil Sharma Balaraman Ravindran
+	Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources in the same domain	2015	Janarthanan Rajendran Aravind Srinivas Mitesh M. Khapra Prateek Prasanna Balaraman Ravindran
+	Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources in the same domain	2015	Janarthanan Rajendran Aravind Srinivas Mitesh M. Khapra P Prasanna Balaraman Ravindran

Common Coauthors

Coauthor	Papers Together
Pieter Abbeel	17
Jonathon Shlens	7
Tsung-Yi Lin	7
Niki Parmar	6
Ashish Vaswani	6
Kimin Lee	5
Trevor Darrell	4
Colorado Reed	4
Ekin D. Cubuk	4
Kurt Keutzer	4
Balaraman Ravindran	4
Michael Laskin	4
Barret Zoph	4
Sean L. Metzger	3
Prajit Ramachandran	3
Quoc V. Le	3
Golnaz Ghiasi	3
Michael Laskin	3
Aravind Rajeswaran	3
Blake A. Hechtman	3
Samarth Sinha	2
Xiaofei Wang	2
Chelsea Finn	2
Janarthanan Rajendran	2
Lili Chen	2
Animesh Garg	2
Yin Cui	2
Xi Chen	2
Allan Jabri	2
Mitesh M. Khapra	2
Wenling Shang	2
Sergey Levine	2
Jonathan Ho	2
Yang Gao	2
Rui Qian	2
Homanga Bharadhwaj	2
Yan Duan	2
Sahil Sharma	1
William Fedus	1
Adam Stooke	1
Igor Mordatch	1
Aditya Grover	1
Xianzhi Du	1
Sean Metzger	1
Ali Razavi	1
Prateek Prasanna	1
Kevin Lü	1
S. M. Ali Eslami	1
Aäron van den Oord	1
Wilson Yan	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	11
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	11
+	Data-Efficient Image Recognition with Contrastive Predictive Coding	2019	Olivier J. Hénaff Aravind Srinivas Jeffrey De Fauw Ali Razavi Carl Doersch S. M. Ali Eslami Aäron van den Oord	9
+ PDF Chat	Feature Pyramid Networks for Object Detection	2017	Tsung-Yi Lin Piotr Dollár Ross Girshick Kaiming He Bharath Hariharan Serge Belongie	9
+	A Simple Framework for Contrastive Learning of Visual Representations	2020	Ting Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton	8
+ PDF Chat	Momentum Contrast for Unsupervised Visual Representation Learning	2020	Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross Girshick	8
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	8
+ PDF Chat	The Arcade Learning Environment: An Evaluation Platform for General Agents	2013	Marc G. Bellemare Yavar Naddaf Joel Veness Michael Bowling	6
+	An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale	2020	Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly	6
+	Representation Learning with Contrastive Predictive Coding	2018	Aäron van den Oord Yazhe Li Oriol Vinyals	6
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	6
+	Language Models are Few-Shot Learners	2020	T. B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell	6
+	Axial Attention in Multidimensional Transformers	2019	Jonathan Ho Nal Kalchbrenner Dirk Weissenborn Tim Salimans	5
+	Improving Sample Efficiency in Model-Free Reinforcement Learning from Images	2019	Denis Yarats Amy Zhang Ilya Kostrikov Brandon Amos Joëlle Pineau Rob Fergus	5
+ PDF Chat	Non-local Neural Networks	2018	Xiaolong Wang Ross Girshick Abhinav Gupta Kaiming He	5
+	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	2019	Mingxing Tan Quoc V. Le	5
+ PDF Chat	Attention Augmented Convolutional Networks	2019	Irwan Bello Barret Zoph Quoc V. Le Ashish Vaswani Jonathon Shlens	5
+ PDF Chat	Aggregated Residual Transformations for Deep Neural Networks	2017	Saining Xie Ross Girshick Piotr Dollár Zhuowen Tu Kaiming He	5
+	Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels	2020	Ilya Kostrikov Denis Yarats Rob Fergus	5
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	4
+ PDF Chat	Local Relation Networks for Image Recognition	2019	Han Hu Zheng Zhang Zhenda Xie Stephen Lin	4
+	RandAugment: Practical data augmentation with no separate search.	2019	Ekin D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le	4
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	4
+ PDF Chat	Identity Mappings in Deep Residual Networks	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+ PDF Chat	Unsupervised Visual Representation Learning by Context Prediction	2015	Carl Doersch Abhinav Gupta Alexei A. Efros	4
+ PDF Chat	Cascade R-CNN: Delving Into High Quality Object Detection	2018	Zhaowei Cai Nuno Vasconcelos	4
+ PDF Chat	Self-Training With Noisy Student Improves ImageNet Classification	2020	Qizhe Xie Minh-Thang Luong Eduard Hovy Quoc V. Le	4
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	4
+	CURL: Contrastive Unsupervised Representations for Reinforcement Learning	2020	Aravind Srinivas Michael Laskin Pieter Abbeel	4
+ PDF Chat	Instance-Aware Semantic Segmentation via Multi-task Network Cascades	2016	Jifeng Dai Kaiming He Jian Sun	4
+ PDF Chat	Designing Network Design Spaces	2020	Ilija Radosavovic Raj Prateek Kosaraju Ross Girshick Kaiming He Piotr Dollár	4
+	AutoAugment: Learning Augmentation Policies from Data	2018	Ekin D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le	4
+ PDF Chat	Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation	2014	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	4
+	Contrastive Multiview Coding	2019	Yonglong Tian Dilip Krishnan Phillip Isola	4
+ PDF Chat	EfficientDet: Scalable and Efficient Object Detection	2020	Mingxing Tan Ruoming Pang Quoc V. Le	4
+ PDF Chat	Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles	2016	Mehdi Noroozi Paolo Favaro	4
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	3
+	Dream to Control: Learning Behaviors by Latent Imagination	2019	Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi	3
+ PDF Chat	CCNet: Criss-Cross Attention for Semantic Segmentation	2019	Zilong Huang Xinggang Wang Lichao Huang Chang Huang Yunchao Wei Wenyu Liu	3
+ PDF Chat	Scaling and Benchmarking Self-Supervised Visual Representation Learning	2019	Priya Goyal Dhruv Mahajan Abhinav Gupta Ishan Misra	3
+ PDF Chat	NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection	2019	Golnaz Ghiasi Tsung-Yi Lin Quoc V. Le	3
+	DeepMind Control Suite	2018	Yuval Tassa Yotam Doron Alistair Muldal Tom Erez Yazhe Li Diego de Las Casas David Budden Abbas Abdolmaleki Josh Merel Andrew Lefrancq	3
+	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures	2018	Lasse Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymir Mnih Tom Ward Yotam Doron Vlad Firoiu Tim Harley Iain Dunning	3
+ PDF Chat	Deep Networks with Stochastic Depth	2016	Gao Huang Yu Sun Zhuang Liu Daniel Sedra Kilian Q. Weinberger	3
+	PixelSNAIL: An Improved Autoregressive Generative Model	2017	Xi Chen Nikhil Mishra Mostafa Rohaninejad Pieter Abbeel	3
+	DARLA: Improving Zero-Shot Transfer in Reinforcement Learning	2017	Irina Higgins Arka Pal Andrei A. Rusu Löıc Matthey Christopher Burgess Alexander Pritzel Matthew Botvinick Charles Blundell Alexander Lerchner	3
+ PDF Chat	Building machines that learn and think like people	2016	Brenden M. Lake Tomer Ullman Joshua B. Tenenbaum Samuel J. Gershman	3
+ PDF Chat	Squeeze-and-Excitation Networks	2019	Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu	3
+	Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks	2013	Ian Goodfellow Yaroslav Bulatov Julian Ibarz Sacha Arnoud Vinay Shet	3
+	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2015	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	3