Kate Saenko - Concepedia

Author

Kate Saenko

University of California, Berkeley ORCID

Also Known As

Castillo, Carlos D., K. Saenko, Kate Saenko, Saenko, Kate, Teterwak, Piotr, Zeng, Kuo-Hao

374

Publications

46.2K

Citations

H-Index

151

Concepts

All Affiliations

University of California, Berkeley University of Massachusetts Lowell Boston University IBM (United States)International Computer Science Institute

About

Kate Saenko is an author at University of California, Berkeley specializing in engineering, machine learning, and deep learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	64	146	29.1K
2	Language Studies	17	21	3.1K
3	Health Sciences	6	6	316
4	Arts	2	2	36
5	Medicine	1	1	207

Kate Saenko

176

Publications

37K

Citations

H-Index

Page 1

	Year	Citations
Long-term recurrent convolutional networks for visual recognition and description Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama,	2015	5.2K
Adversarial Discriminative Domain Adaptation Eric Tzeng, Judy Hoffman, Kate Saenko, Artificial IntelligenceMachine VisionMachine LearningData ScienceEngineering	2017	4.9K
Deep Domain Confusion: Maximizing for Domain Invariance Eric Tzeng, Judy Hoffman, Ning Zhang, arXiv (Cornell University) Domain ConfusionFew-shot LearningConvolutional Neural NetworkImage AnalysisMachine Learning	2014	2.3K
Return of Frustratingly Easy Domain Adaptation Baochen Sun, Jiashi Feng, Kate Saenko Proceedings of the AAAI Conference on Artificial Intelligence Natural Language ProcessingArtificial IntelligenceEngineeringMachine LearningData Science	2016	1.8K
Long-Term Recurrent Convolutional Networks for Visual Recognition and Description Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, IEEE Transactions on Pattern Analysis and Machine Intelligence Image AnalysisMachine VisionData ScienceMachine LearningRecurrent Sequence Models	2016	1.6K
Moment Matching for Multi-Source Domain Adaptation Xingchao Peng, Qinxun Bai, Xide Xia, Few-shot LearningEngineeringMachine LearningMoment MatchingImage Analysis	2019	1.5K
Sequence to Sequence -- Video to Text Subhashini Venugopalan, Marcus Rohrbach, Jeffrey Donahue, Natural Language ProcessingMultimodal LlmEngineeringMachine LearningComputational Linguistics	2015	1.4K
Simultaneous Deep Transfer Across Domains and Tasks Eric Tzeng, Judy Hoffman, Trevor Darrell,	2015	1.2K
Long-term Recurrent Convolutional Networks for Visual Recognition and Description Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Machine VisionImage AnalysisData ScienceMachine LearningEngineering	2014	1.1K
R-C3D: Region Convolutional 3D Network for Temporal Activity Detection Huijuan Xu, Abir Das, Kate Saenko Machine VisionImage AnalysisMachine LearningData SciencePattern Recognition	2017	764

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