Canny, John

15 publications

ICML 2024 A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts Kuang-Huei Lee, Xinyun Chen, Hiroki Furuta, John Canny, Ian Fischer

ICLRW 2024 A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts Kuang-Huei Lee, Xinyun Chen, Hiroki Furuta, John Canny, Ian Fischer

WACV 2023 An Embedding-Dynamic Approach to Self-Supervised Learning Suhong Moon, Domas Buracas, Seunghyun Park, Jinkyu Kim, John Canny

ICMLW 2022 LAVA: Language Audio Vision Alignment for Data-Efficient Video Pre-Training Sumanth Gurram, David Chan, Andy Fang, John Canny

CLeaR 2022 Learning Causal Overhypotheses Through Exploration in Children and Computational Models Eliza Kosoy, Adrian Liu, Jasmine L Collins, David Chan, Jessica B Hamrick, Nan Rosemary Ke, Sandy Huang, Bryanna Kaufmann, John Canny, Alison Gopnik

NeurIPS 2021 Compressive Visual Representations Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John Canny, Ian Fischer

ICML 2021 MSA Transformer Roshan M Rao, Jason Liu, Robert Verkuil, Joshua Meier, John Canny, Pieter Abbeel, Tom Sercu, Alexander Rives

ICLR 2020 Measuring the Reliability of Reinforcement Learning Algorithms Stephanie C. Y. Chan, Samuel Fishman, John Canny, Anoop Korattikara, Sergio Guadarrama

WACV 2020 Periphery-Fovea Multi-Resolution Driving Model Guided by Human Attention Ye Xia, Jinkyu Kim, John Canny, Karl Zipser, Teresa Canas-Bajo, David Whitney

NeurIPS 2020 Predictive Information Accelerates Learning in RL Kuang-Huei Lee, Ian Fischer, Anthony Liu, Yijie Guo, Honglak Lee, John Canny, Sergio Guadarrama

NeurIPS 2019 Evaluating Protein Transfer Learning with TAPE Roshan Rao, Nicholas Bhattacharya, Neil Thomas, Yan Duan, Peter Chen, John Canny, Pieter Abbeel, Yun Song

ECCV 2018 Textual Explanations for Self-Driving Vehicles Jinkyu Kim, Anna Rohrbach, Trevor Darrell, John Canny, Zeynep Akata

CVPR 2017 General Models for Rational Cameras and the Case of Two-Slit Projections Matthew Trager, Bernd Sturmfels, John Canny, Martial Hebert, Jean Ponce

ICCV 2017 Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention Jinkyu Kim, John Canny

NeurIPS 2009 Factor Modeling for Advertisement Targeting Ye Chen, Michael Kapralov, John Canny, Dmitry Y. Pavlov