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Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond
Haoxiang Wang
,
Bo Li
,
Han Zhao
Electrical and Computer Engineering
Siebel School of Computing and Data Science
Research output
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›
peer-review
Overview
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Dive into the research topics of 'Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond'. Together they form a unique fingerprint.
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Keyphrases
Target Domain
100%
Self-training
100%
Gradual Domain Adaptation
100%
Generalization Bounds
66%
Source Domain
66%
Intermediate Domain
66%
Existing Algorithms
33%
One-off
33%
Path Length
33%
SIMPLE Algorithm
33%
Adaptive Algorithm
33%
Generalization Error
33%
Semi-synthetic
33%
Multiplicative Factors
33%
Optimal Way
33%
Distributional Distance
33%
Exponential Factors
33%
Unsupervised Domain Adaptation
33%
Computer Science
Domain Adaptation
100%
Simple Algorithm
33%
Adaptation Algorithm
33%
Multiplicative Factor
33%
Generalization Error
33%
Unsupervised Domain Adaptation
33%