Tzeng, Eric

9 publications

ECCV 2024 Large-Scale Reinforcement Learning for Diffusion Models Yinan Zhang, Eric Tzeng, Yilun Du, Dmitry Kislyuk

ICML 2018 CyCADA: Cycle-Consistent Adversarial Domain Adaptation Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei Efros, Trevor Darrell

CVPR 2017 Adversarial Discriminative Domain Adaptation Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell

ICLR 2017 Adversarial Discriminative Domain Adaptation (workshop Extended Abstract) Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell

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

ICCV 2015 Simultaneous Deep Transfer Across Domains and Tasks Eric Tzeng, Judy Hoffman, Trevor Darrell, Kate Saenko

ICML 2014 DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell

ICLR 2014 One-Shot Adaptation of Supervised Deep Convolutional Models Judy Hoffman, Eric Tzeng, Jeff Donahue, Yangqing Jia, Kate Saenko, Trevor Darrell

CVPRW 2013 User-Driven Geolocation of Untagged Desert Imagery Using Digital Elevation Models Eric Tzeng, Andrew Zhai, Matthew Clements, Raphael Townshend, Avideh Zakhor