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Jonathon Shlens

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On Robustness in Multimodal Learning

Apr 11, 2023
Brandon McKinzie, Joseph Cheng, Vaishaal Shankar, Yinfei Yang, Jonathon Shlens, Alexander Toshev

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STAIR: Learning Sparse Text and Image Representation in Grounded Tokens

Feb 08, 2023
Chen Chen, Bowen Zhang, Liangliang Cao, Jiguang Shen, Tom Gunter, Albin Madappally Jose, Alexander Toshev, Jonathon Shlens, Ruoming Pang, Yinfei Yang

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PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds

Oct 24, 2022
Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov

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Perceptual Grouping in Vision-Language Models

Oct 18, 2022
Kanchana Ranasinghe, Brandon McKinzie, Sachin Ravi, Yinfei Yang, Alexander Toshev, Jonathon Shlens

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Soft Calibration Objectives for Neural Networks

Jul 30, 2021
Archit Karandikar, Nicholas Cain, Dustin Tran, Balaji Lakshminarayanan, Jonathon Shlens, Michael C. Mozer, Becca Roelofs

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Scene Transformer: A unified multi-task model for behavior prediction and planning

Jun 15, 2021
Jiquan Ngiam, Benjamin Caine, Vijay Vasudevan, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, David Weiss, Ben Sapp, Zhifeng Chen, Jonathon Shlens

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Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset

Apr 20, 2021
Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles Qi, Yin Zhou, Zoey Yang, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov

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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

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Scalable Scene Flow from Point Clouds in the Real World

Mar 15, 2021
Philipp Jund, Chris Sweeney, Nichola Abdo, Zhifeng Chen, Jonathon Shlens

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