Shlens, Jonathon

34 publications

CVPR 2025 Learning Visual Composition Through Improved Semantic Guidance Austin Stone, Hagen Soltau, Robert Geirhos, Xi Yi, Ye Xia, Bingyi Cao, Kaifeng Chen, Abhijit Ogale, Jonathon Shlens

ICML 2025 Towards Flexible Perception with Visual Memory Robert Geirhos, Priyank Jaini, Austin Stone, Sourabh Medapati, Xi Yi, George Toderici, Abhijit Ogale, Jonathon Shlens

ICLR 2024 MOFI: Learning Image Representations from Noisy Entity Annotated Images Wentao Wu, Aleksei Timofeev, Chen Chen, Bowen Zhang, Kun Duan, Shuangning Liu, Yantao Zheng, Jonathon Shlens, Xianzhi Du, Yinfei Yang

ICCV 2023 Perceptual Grouping in Contrastive Vision-Language Models Kanchana Ranasinghe, Brandon McKinzie, Sachin Ravi, Yinfei Yang, Alexander Toshev, Jonathon Shlens

ICML 2023 Robustness in Multimodal Learning Under Train-Test Modality Mismatch Brandon Mckinzie, Vaishaal Shankar, Joseph Yitan Cheng, Yinfei Yang, Jonathon Shlens, Alexander T Toshev

AISTATS 2022 Mitigating Bias in Calibration Error Estimation Rebecca Roelofs, Nicholas Cain, Jonathon Shlens, Michael C. Mozer

ECCV 2022 PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov

ICLR 2022 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, Ashish Venugopal, David J Weiss, Benjamin Sapp, Zhifeng Chen, Jonathon Shlens

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

ICCV 2021 Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles R. Qi, Yin Zhou, Zoey Yang, Aurélien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov

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

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

NeurIPS 2021 Soft Calibration Objectives for Neural Networks Archit Karandikar, Nicholas Cain, Dustin Tran, Balaji Lakshminarayanan, Jonathon Shlens, Michael Mozer, Becca Roelofs

ECCV 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, Dragomir Anguelov

ECCV 2020 Learning Data Augmentation Strategies for Object Detection Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le

ECCV 2020 Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens

CVPRW 2020 Randaugment: Practical Automated Data Augmentation with a Reduced Search Space Ekin D. Cubuk, Barret Zoph, Jonathon Shlens, Quoc V. Le

ICML 2020 Revisiting Spatial Invariance with Low-Rank Local Connectivity Gamaleldin Elsayed, Prajit Ramachandran, Jonathon Shlens, Simon Kornblith

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

ICLRW 2019 A Learned Representation for Scalable Vector Graphics Raphael Gontijo Lopes, David Ha, Douglas Eck, Jonathon Shlens

ECCV 2018 A Dataset and Architecture for Visual Reasoning with a Working Memory Guangyu Robert Yang, Igor Ganichev, Xiao-Jing Wang, Jonathon Shlens, David Sussillo

ICLR 2018 Learning a Neural Response Metric for Retinal Prosthesis Nishal P Shah, Sasidhar Madugula, Ej Chichilnisky, Yoram Singer, Jonathon Shlens

ECCV 2018 Progressive Neural Architecture Search Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan Yuille, Jonathan Huang, Kevin Murphy

CVPRW 2018 Recurrent Segmentation for Variable Computational Budgets Lane McIntosh, Niru Maheswaranathan, David Sussillo, Jonathon Shlens

ICLR 2017 A Learned Representation for Artistic Style Vincent Dumoulin, Jonathon Shlens, Manjunath Kudlur

ICML 2017 Conditional Image Synthesis with Auxiliary Classifier GANs Augustus Odena, Christopher Olah, Jonathon Shlens

ICCV 2017 Pixel Recursive Super Resolution Ryan Dahl, Mohammad Norouzi, Jonathon Shlens

CVPR 2017 YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video Esteban Real, Jonathon Shlens, Stefano Mazzocchi, Xin Pan, Vincent Vanhoucke

ICLR 2016 Net2Net: Accelerating Learning via Knowledge Transfer Tianqi Chen, Ian J. Goodfellow, Jonathon Shlens

ICLR 2015 Deep Networks with Large Output Spaces Sudheendra Vijayanarasimhan, Jonathon Shlens, Rajat Monga, Jay Yagnik

ICLR 2015 Explaining and Harnessing Adversarial Examples Ian J. Goodfellow, Jonathon Shlens, Christian Szegedy

ICLR 2014 Zero-Shot Learning by Convex Combination of Semantic Embeddings Mohammad Norouzi, Tomás Mikolov, Samy Bengio, Yoram Singer, Jonathon Shlens, Andrea Frome, Greg Corrado, Jeffrey Dean

CVPR 2013 Fast, Accurate Detection of 100,000 Object Classes on a Single Machine Thomas Dean, Mark A. Ruzon, Mark Segal, Jonathon Shlens, Sudheendra Vijayanarasimhan, Jay Yagnik

AAAI 2012 Three Controversial Hypotheses Concerning Computation in the Primate Cortex Thomas L. Dean, Greg Corrado, Jonathon Shlens