On application-level approaches to avoiding TCP throughput collapse in cluster-based storage systems. - Elie Krevat; Vijay Vasudevan; Amar Phanishayee; David G. Andersen; Gregory R. Ganger; Garth A. Gibson; Srinivasan Seshan (PDSW, 2007)

Measurement and Analysis of TCP Throughput Collapse in Cluster-based Storage Systems. - Amar Phanishayee; Elie Krevat; Vijay Vasudevan; David G. Andersen; Gregory R. Ganger; Garth A. Gibson; Srinivasan Seshan (FAST, 2008)

FAWNdamentally Power-efficient Clusters. - Vijay Vasudevan; Jason Franklin; David G. Andersen; Amar Phanishayee; Lawrence Tan; Michael Kaminsky; Iulian Moraru (HotOS, 2009)

A First Look at Media Conferencing Traffic in the Global Enterprise. - Vijay Vasudevan; Sudipta Sengupta; Jin Li 001 (PAM, 2009)

Safe and effective fine-grained TCP retransmissions for datacenter communication. - Vijay Vasudevan; Amar Phanishayee; Hiral Shah; Elie Krevat; David G. Andersen; Gregory R. Ganger; Garth A. Gibson; Brian Mueller (SIGCOMM, 2009)

Energy-efficient cluster computing with FAWN: workloads and implications. - Vijay Vasudevan; David G. Andersen; Michael Kaminsky; Lawrence Tan; Jason Franklin; Iulian Moraru (e-Energy, 2010)

The Case for VOS: The Vector Operating System. - Vijay Vasudevan; David G. Andersen; Michael Kaminsky (HotOS, 2011)

FAWN: a fast array of wimpy nodes. - David G. Andersen; Jason Franklin; Michael Kaminsky; Amar Phanishayee; Lawrence Tan; Vijay Vasudevan (Commun. ACM, 2011)

Challenges and opportunities for efficient computing with FAWN. - Vijay Vasudevan; David G. Andersen; Michael Kaminsky; Jason Franklin; Michael A. Kozuch; Iulian Moraru; Padmanabhan Pillai; Lawrence Tan (ACM SIGOPS Oper. Syst. Rev., 2011)

Using vector interfaces to deliver millions of IOPS from a networked key-value storage server. - Vijay Vasudevan; Michael Kaminsky; David G. Andersen (SoCC, 2012)

TensorFlow: A System for Large-Scale Machine Learning. - Martín Abadi; Paul Barham 001; Jianmin Chen; Zhifeng Chen; Andy Davis; Jeffrey Dean; Matthieu Devin; Sanjay Ghemawat; Geoffrey Irving; Michael Isard; Manjunath Kudlur; Josh Levenberg; et al. (OSDI, 2016)

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. - Martín Abadi; Ashish Agarwal; Paul Barham 001; Eugene Brevdo; Zhifeng Chen; Craig Citro; Gregory S. Corrado; Andy Davis; Jeffrey Dean; Matthieu Devin; Sanjay Ghemawat; Ian J. Goodfellow; et al. (CoRR, 2016)

TensorFlow: A system for large-scale machine learning. - Martín Abadi; Paul Barham 001; Jianmin Chen; Zhifeng Chen; Andy Davis; Jeffrey Dean; Matthieu Devin; Sanjay Ghemawat; Geoffrey Irving; Michael Isard; Manjunath Kudlur; Josh Levenberg; et al. (CoRR, 2016)

Neural Optimizer Search with Reinforcement Learning. - Irwan Bello; Barret Zoph; Vijay Vasudevan; Quoc V. Le (ICML, 2017)

In-Datacenter Performance Analysis of a Tensor Processing Unit. - Norman P. Jouppi; Cliff Young; Nishant Patil; David A. Patterson 001; Gaurav Agrawal; Raminder Bajwa; Sarah Bates; Suresh Bhatia; Nan Boden; Al Borchers; Rick Boyle; Pierre-luc Cantin; et al. (ISCA, 2017)

In-Datacenter Performance Analysis of a Tensor Processing Unit. - Norman P. Jouppi; Cliff Young; Nishant Patil; David A. Patterson 001; Gaurav Agrawal; Raminder Bajwa; Sarah Bates; Suresh Bhatia; Nan Boden; Al Borchers; Rick Boyle; Pierre-luc Cantin; et al. (CoRR, 2017)

Learning Transferable Architectures for Scalable Image Recognition. - Barret Zoph; Vijay Vasudevan; Jonathon Shlens; Quoc V. Le (CVPR, 2018)

Understanding and Simplifying One-Shot Architecture Search. - Gabriel Bender; Pieter-Jan Kindermans; Barret Zoph; Vijay Vasudevan; Quoc V. Le (ICML, 2018)

AutoAugment: Learning Augmentation Policies from Data. - Ekin Dogus Cubuk; Barret Zoph; Dandelion Mané; Vijay Vasudevan; Quoc V. Le (CoRR, 2018)

Parallel Architecture and Hyperparameter Search via Successive Halving and Classification. - Manoj Kumar; George E. Dahl; Vijay Vasudevan; Mohammad Norouzi 002 (CoRR, 2018)

MnasNet: Platform-Aware Neural Architecture Search for Mobile. - Mingxing Tan; Bo Chen 019; Ruoming Pang; Vijay Vasudevan; Quoc V. Le (CoRR, 2018)

Domain Adaptive Transfer Learning with Specialist Models. - Jiquan Ngiam; Daiyi Peng; Vijay Vasudevan; Simon Kornblith; Quoc V. Le; Ruoming Pang (CoRR, 2018)

End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds. - Yin Zhou; Pei Sun; Yu Zhang 033; Dragomir Anguelov; Jiyang Gao; Tom Ouyang; James Guo; Jiquan Ngiam; Vijay Vasudevan (CoRL, 2019)

AutoAugment: Learning Augmentation Strategies From Data. - Ekin D. Cubuk; Barret Zoph; Dandelion Mané; Vijay Vasudevan; Quoc V. Le (CVPR, 2019)

MnasNet: Platform-Aware Neural Architecture Search for Mobile. - Mingxing Tan; Bo Chen 019; Ruoming Pang; Vijay Vasudevan; Mark Sandler 002; Andrew Howard 002; Quoc V. Le (CVPR, 2019)

Searching for MobileNetV3. - Andrew Howard 002; Ruoming Pang; Hartwig Adam; Quoc V. Le; Mark Sandler 002; Bo Chen 019; Weijun Wang; Liang-Chieh Chen; Mingxing Tan; Grace Chu; Vijay Vasudevan; Yukun Zhu (ICCV, 2019)

StarNet: Targeted Computation for Object Detection in Point Clouds. - Jiquan Ngiam; Benjamin Caine; Wei Han 002; Brandon Yang; Yuning Chai; Pei Sun; Yin Zhou; Xi Yi; Ouais Alsharif; Patrick Nguyen; Zhifeng Chen; Jonathon Shlens; et al. (CoRR, 2019)

Scalability in Perception for Autonomous Driving: Waymo Open Dataset. - Pei Sun; Henrik Kretzschmar; Xerxes Dotiwalla; Aurelien Chouard; Vijaysai Patnaik; Paul Tsui; James Guo; Yin Zhou; Yuning Chai; Benjamin Caine; Vijay Vasudevan; Wei Han 002; et al. (CVPR, 2020)

Improving 3D Object Detection Through Progressive Population Based Augmentation. - Shuyang Cheng; Zhaoqi Leng; Ekin Dogus Cubuk; Barret Zoph; Chunyan Bai; Jiquan Ngiam; Yang Song; Benjamin Caine; Vijay Vasudevan; Congcong Li; Quoc V. Le; Jonathon Shlens; et al. (ECCV (21), 2020)

Streaming Object Detection for 3-D Point Clouds. - Wei Han 002; Zhengdong Zhang; Benjamin Caine; Brandon Yang; Christoph Sprunk; Ouais Alsharif; Jiquan Ngiam; Vijay Vasudevan; Jonathon Shlens; Zhifeng Chen (ECCV (18), 2020)

To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels. - Yuning Chai; Pei Sun; Jiquan Ngiam; Weiyue Wang 002; Benjamin Caine; Vijay Vasudevan; Xiao Zhang; Dragomir Anguelov (CVPR, 2021)

Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. - Scott Ettinger; Shuyang Cheng; Benjamin Caine; Chenxi Liu 001; Hang Zhao; Sabeek Pradhan; Yuning Chai; Ben Sapp; Charles R. Qi; Yin Zhou; Zoey Yang; Aurelien Chouard; et al. (ICCV, 2021)

Pseudo-labeling for Scalable 3D Object Detection. - Benjamin Caine; Rebecca Roelofs; Vijay Vasudevan; Jiquan Ngiam; Yuning Chai; Zhifeng Chen; Jonathon Shlens (CoRR, 2021)

Scene Transformer: A unified multi-task model for behavior prediction and planning. - Jiquan Ngiam; Benjamin Caine; Vijay Vasudevan; Zhengdong Zhang; Hao-Tien Lewis Chiang; Jeffrey Ling; Rebecca Roelofs; Alex Bewley; Chenxi Liu 001; Ashish Venugopal; David Weiss 001; Benjamin Sapp; et al. (CoRR, 2021)

Scene Transformer: A unified architecture for predicting future trajectories of multiple agents. - Jiquan Ngiam; Vijay Vasudevan; Benjamin Caine; Zhengdong Zhang; Hao-Tien Lewis Chiang; Jeffrey Ling; Rebecca Roelofs; Alex Bewley; Chenxi Liu 001; Ashish Venugopal; David J. Weiss; Ben Sapp; et al. (ICLR, 2022)

When does dough become a bagel? Analyzing the remaining mistakes on ImageNet. - Vijay Vasudevan; Benjamin Caine; Raphael Gontijo Lopes; Sara Fridovich-Keil; Rebecca Roelofs (NeurIPS, 2022)

CoCa: Contrastive Captioners are Image-Text Foundation Models. - Jiahui Yu; Zirui Wang; Vijay Vasudevan; Legg Yeung; Mojtaba Seyedhosseini; Yonghui Wu (Trans. Mach. Learn. Res., 2022)

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation. - Jiahui Yu; Yuanzhong Xu; Jing Yu Koh; Thang Luong; Gunjan Baid; Zirui Wang; Vijay Vasudevan; Alexander Ku; Yinfei Yang; Burcu Karagol Ayan; Ben Hutchinson; Wei Han; et al. (Trans. Mach. Learn. Res., 2022)