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On learning invariant representations for domain adaptation
Han Zhao
, Remi Tachet des Combes
, Kun Zhang
, Geoffrey J. Gordon
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Chapter in Book/Report/Conference proceeding
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Dive into the research topics of 'On learning invariant representations for domain adaptation'. Together they form a unique fingerprint.
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Keyphrases
Invariant Representation
100%
Domain Adaptation
100%
Source Domain
100%
Joint Error
66%
Target Domain
66%
Recent Advances
33%
Learning Algorithm
33%
Learning Domains
33%
Conditional Distribution
33%
Feature Change
33%
Common Belief
33%
Domain Representation
33%
Information-theoretic Bounds
33%
Fundamental Tradeoffs
33%
Deep Neural Network
33%
Label Distribution
33%
Representation Learning
33%
Unsupervised Domain Adaptation
33%
Domain Adaptation Method
33%
Conditional Shift
33%
Small Joints
33%
Domain-invariant Feature
33%
Domain Adaptation Learning
33%
Computer Science
Domain Adaptation
100%
Invariant Representation
100%
Representation Learning
20%
Sufficient Condition
20%
Learning Algorithm
20%
Conditional Distribution
20%
Deep Neural Network
20%
Invariant Domain
20%
Label Distribution
20%
Unsupervised Domain Adaptation
20%