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Partial Domain Adaptation

Partial Domain Adaptation is a transfer learning paradigm, which manages to transfer relevant knowledge from a large-scale source domain to a small-scale target domain.

Source: Deep Residual Correction Network for Partial Domain Adaptation

Papers

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Showing 11–20 of 56 papers

Title	Date	Tasks	Status	Hype	Score
Partial Adversarial Domain Adaptation	Aug 10, 2018	Domain AdaptationPartial Domain Adaptation	CodeCode Available	0	5
Partial Domain Adaptation without Domain Alignment	Aug 29, 2021	Domain AdaptationPartial Domain Adaptation	CodeCode Available	0	5
Learning to Discover Knowledge: A Weakly-Supervised Partial Domain Adaptation Approach	Jun 20, 2024	Domain AdaptationPartial Domain Adaptation	CodeCode Available	0	5
Source Class Selection with Label Propagation for Partial Domain Adaptation	Sep 1, 2021	Domain AdaptationPartial Domain Adaptation	CodeCode Available	0	5
Minimum Class Confusion for Versatile Domain Adaptation	Dec 8, 2019	Domain AdaptationInductive Bias	CodeCode Available	0	5
Domain Consensus Clustering for Universal Domain Adaptation	Jun 5, 2021	ClusteringDomain Adaptation	CodeCode Available	0	5
Implicit Semantic Response Alignment for Partial Domain Adaptation	Dec 1, 2021	Domain AdaptationPartial Domain Adaptation	CodeCode Available	0	5
From Big to Small: Adaptive Learning to Partial-Set Domains	Mar 14, 2022	Domain AdaptationPartial Domain Adaptation	CodeCode Available	0	5
Importance Weighted Adversarial Nets for Partial Domain Adaptation	Mar 25, 2018	Domain AdaptationPartial Domain Adaptation	CodeCode Available	0	5
Unsupervised Domain Adaptation with Progressive Adaptation of Subspaces	Sep 1, 2020	Domain AdaptationPartial Domain Adaptation	CodeCode Available	0	5

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