Eric Tzeng

According to our database, Eric Tzeng authored at least 27 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Large-scale Reinforcement Learning for Diffusion Models.

Yinan Zhang, Eric Tzeng, Yilun Du, Dmitry Kislyuk

CoRR, 2024

2020

Toward Transformer-Based Object Detection.

Josh Beal, Eric Kim, Eric Tzeng, Dong Huk Park, Andrew Zhai, Dmitry Kislyuk

CoRR, 2020

Revisiting Few-shot Activity Detection with Class Similarity Control.

Huijuan Xu, Ximeng Sun, Eric Tzeng, Abir Das, Kate Saenko, Trevor Darrell

CoRR, 2020

2019

Semantic Bottleneck Scene Generation.

Samaneh Azadi, Michael Tschannen, Eric Tzeng, Sylvain Gelly, Trevor Darrell, Mario Lucic

CoRR, 2019

Unsupervised Domain Adaptation through Self-Supervision.

Yu Sun, Eric Tzeng, Trevor Darrell, Alexei A. Efros

CoRR, 2019

Learning a Unified Embedding for Visual Search at Pinterest.

Andrew Zhai, Hao-Yu Wu, Eric Tzeng, Dong Huk Park, Charles Rosenberg

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection.

Eric Tzeng, Kaylee Burns, Kate Saenko, Trevor Darrell

CoRR, 2018

CyCADA: Cycle-Consistent Adversarial Domain Adaptation.

Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell

Proceedings of the 35th International Conference on Machine Learning, 2018

Adapting to Continuously Shifting Domains.

Andreea Bobu, Eric Tzeng, Judy Hoffman, Trevor Darrell

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Simultaneous Deep Transfer Across Domains and Tasks.

Judy Hoffman, Eric Tzeng, Trevor Darrell, Kate Saenko

Proceedings of the Domain Adaptation in Computer Vision Applications., 2017

Visual Discovery at Pinterest.

Andrew Zhai, Dmitry Kislyuk, Yushi Jing, Michael Feng, Eric Tzeng, Jeff Donahue, Yue Li Du, Trevor Darrell

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Adversarial Discriminative Domain Adaptation (workshop extended abstract).

Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell

Proceedings of the 5th International Conference on Learning Representations, 2017

Adversarial Discriminative Domain Adaptation.

Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

User-Aided Geo-location of Untagged Desert Imagery.

Eric Tzeng, Andrew Zhai, Matthew Clements, Raphael Townshend, Avideh Zakhor

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 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

J. Mach. Learn. Res., 2016

Adapting Deep Visuomotor Representations with Weak Pairwise Constraints.

Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Pieter Abbeel, Sergey Levine, Kate Saenko, Trevor Darrell

Proceedings of the Algorithmic Foundations of Robotics XII, 2016

2015

Towards Adapting Deep Visuomotor Representations from Simulated to Real Environments.

Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Xingchao Peng, Sergey Levine, Kate Saenko, Trevor Darrell

CoRR, 2015

Human Curation and Convnets: Powering Item-to-Item Recommendations on Pinterest.

Dmitry Kislyuk, Yuchen Liu, David C. Liu, Eric Tzeng, Yushi Jing

CoRR, 2015

Beyond lowest-warping cost action selection in trajectory transfer.

Dylan Hadfield-Menell, Alex X. Lee, Chelsea Finn, Eric Tzeng, Sandy H. Huang, Pieter Abbeel

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Simultaneous Deep Transfer Across Domains and Tasks.

Eric Tzeng, Judy Hoffman, Trevor Darrell, Kate Saenko

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Deep Domain Confusion: Maximizing for Domain Invariance.

Eric Tzeng, Judy Hoffman, Ning Zhang, Kate Saenko, Trevor Darrell

CoRR, 2014

One-Shot Adaptation of Supervised Deep Convolutional Models.

Judy Hoffman, Eric Tzeng, Jeff Donahue, Yangqing Jia, Kate Saenko, Trevor Darrell

Proceedings of the 2nd International Conference on Learning Representations, 2014

LSDA: Large Scale Detection Through Adaptation.

Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko

CoRR, 2014

LSDA: Large Scale Detection through Adaptation.

Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Ronghang Hu, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Unifying scene registration and trajectory optimization for learning from demonstrations with application to manipulation of deformable objects.

Alex X. Lee, Sandy H. Huang, Dylan Hadfield-Menell, Eric Tzeng, Pieter Abbeel

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 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

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

User-Driven Geolocation of Untagged Desert Imagery Using Digital Elevation Models.

Eric Tzeng, Andrew Zhai, Matthew Clements, Raphael Townshend, Avideh Zakhor

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013