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Algorithms and Theory for Multiple-Source Adaptation

Algorithms and Theory for Multiple-Source Adaptation

20 May 2018
Judy Hoffman
M. Mohri
Ningshan Zhang
    OOD
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Papers citing "Algorithms and Theory for Multiple-Source Adaptation"

14 / 14 papers shown
Title
(Im)possibility of Collective Intelligence
(Im)possibility of Collective Intelligence
Krikamol Muandet
97
6
0
05 Jun 2022
Ensemble Distillation for Robust Model Fusion in Federated Learning
Ensemble Distillation for Robust Model Fusion in Federated Learning
Tao R. Lin
Lingjing Kong
Sebastian U. Stich
Martin Jaggi
FedML
43
1,026
0
12 Jun 2020
Multi-Adversarial Domain Adaptation
Multi-Adversarial Domain Adaptation
Zhongyi Pei
Zhangjie Cao
Mingsheng Long
Jianmin Wang
OOD
TTA
39
857
0
04 Sep 2018
Unsupervised Cross-Domain Image Generation
Unsupervised Cross-Domain Image Generation
Yaniv Taigman
Adam Polyak
Lior Wolf
GAN
OOD
54
999
0
07 Nov 2016
Simultaneous Deep Transfer Across Domains and Tasks
Simultaneous Deep Transfer Across Domains and Tasks
Eric Tzeng
Judy Hoffman
Trevor Darrell
Kate Saenko
OOD
38
1,367
0
08 Oct 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
161
5,163
0
10 Feb 2015
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
174
5,972
0
26 Sep 2014
Adaptation Algorithm and Theory Based on Generalized Discrepancy
Adaptation Algorithm and Theory Based on Generalized Discrepancy
Corinna Cortes
M. Mohri
Andrés Munoz Medina
58
65
0
07 May 2014
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
152
26,091
0
11 Nov 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual
  Recognition
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLM
ObjD
74
4,946
0
06 Oct 2013
Efficient Learning of Domain-invariant Image Representations
Efficient Learning of Domain-invariant Image Representations
Judy Hoffman
E. Rodner
Jeff Donahue
Trevor Darrell
Kate Saenko
OOD
35
295
0
15 Jan 2013
Domain Generalization via Invariant Feature Representation
Domain Generalization via Invariant Feature Representation
Krikamol Muandet
David Balduzzi
Bernhard Schölkopf
OOD
52
1,166
0
10 Jan 2013
Multiple Source Adaptation and the Renyi Divergence
Multiple Source Adaptation and the Renyi Divergence
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
48
148
0
09 May 2012
Domain Adaptation: Learning Bounds and Algorithms
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
258
796
0
19 Feb 2009
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