Guadarrama, Sergio

15 publications

NeurIPS 2022 Multi-Game Decision Transformers Kuang-Huei Lee, Ofir Nachum, Mengjiao Yang, Lisa Lee, Daniel Freeman, Sergio Guadarrama, Ian Fischer, Winnie Xu, Eric Jang, Henryk Michalewski, Igor Mordatch

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

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

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

ICLR 2019 From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following Justin Fu, Anoop Korattikara, Sergey Levine, Sergio Guadarrama

ECCV 2018 Tracking Emerges by Colorizing Videos Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, Kevin Murphy

ICCV 2017 Improved Image Captioning via Policy Gradient Optimization of SPIDEr Siqi Liu, Zhenhai Zhu, Ning Ye, Sergio Guadarrama, Kevin Murphy

CVPR 2017 Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy

JMLR 2016 Large Scale Visual Recognition Through Adaptation Using Joint Representation and Multiple Instance Learning Judy Hoffman, Deepak Pathak, Eric Tzeng, Jonathan Long, Sergio Guadarrama, Trevor Darrell, Kate Saenko

AAAI 2015 Compute Less to Get More: Using ORC to Improve Sparse Filtering Johannes Lederer, Sergio Guadarrama

ICCV 2015 Im2Calories: Towards an Automated Mobile Vision Food Diary Austin Meyers, Nick Johnston, Vivek Rathod, Anoop Korattikara, Alex Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin P. Murphy

CVPR 2015 Long-Term Recurrent Convolutional Networks for Visual Recognition and Description Jeffrey Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, Trevor Darrell

NeurIPS 2014 LSDA: Large Scale Detection Through Adaptation Judy Hoffman, Sergio Guadarrama, Eric S Tzeng, Ronghang Hu, Jeff Donahue, Ross Girshick, Trevor Darrell, Kate Saenko

AAAI 2013 Generating Natural-Language Video Descriptions Using Text-Mined Knowledge Niveda Krishnamoorthy, Girish Malkarnenkar, Raymond J. Mooney, Kate Saenko, Sergio Guadarrama

ICCV 2013 YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition Sergio Guadarrama, Niveda Krishnamoorthy, Girish Malkarnenkar, Subhashini Venugopalan, Raymond Mooney, Trevor Darrell, Kate Saenko