Eric Tzeng

According to our database1, Eric Tzeng authored at least 22 papers between 2013 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
CyCADA: Cycle-Consistent Adversarial Domain Adaptation.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Simultaneous Deep Transfer Across Domains and Tasks.
Proceedings of the Domain Adaptation in Computer Vision Applications., 2017

CyCADA: Cycle-Consistent Adversarial Domain Adaptation.
CoRR, 2017

Visual Discovery at Pinterest.
CoRR, 2017

Adversarial Discriminative Domain Adaptation.
CoRR, 2017

Visual Discovery at Pinterest.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Adversarial Discriminative Domain Adaptation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
User-Aided Geo-location of Untagged Desert Imagery.
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.
Journal of Machine Learning Research, 2016

2015
Simultaneous Deep Transfer Across Domains and Tasks.
CoRR, 2015

Towards Adapting Deep Visuomotor Representations from Simulated to Real Environments.
CoRR, 2015

Human Curation and Convnets: Powering Item-to-Item Recommendations on Pinterest.
CoRR, 2015

Beyond lowest-warping cost action selection in trajectory transfer.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Simultaneous Deep Transfer Across Domains and Tasks.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Deep Domain Confusion: Maximizing for Domain Invariance.
CoRR, 2014

LSDA: Large Scale Detection Through Adaptation.
CoRR, 2014

LSDA: Large Scale Detection through Adaptation.
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.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
One-Shot Adaptation of Supervised Deep Convolutional Models.
CoRR, 2013

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition.
CoRR, 2013

User-Driven Geolocation of Untagged Desert Imagery Using Digital Elevation Models.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013


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