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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 1–10 of 56 papers

Title	Date	Tasks	Status	Hype	Score
OneRing: A Simple Method for Source-free Open-partial Domain Adaptation	Jun 7, 2022	Domain AdaptationDomain Generalization	CodeCode Available	1	5
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation	Mar 5, 2020	Domain AdaptationPartial Domain Adaptation	CodeCode Available	1	5
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation	Feb 20, 2020	Domain AdaptationPartial Domain Adaptation	CodeCode Available	1	5
Learning to Transfer Examples for Partial Domain Adaptation	Mar 28, 2019	Domain AdaptationPartial Domain Adaptation	CodeCode Available	1	5
Universal Domain Adaptation through Self Supervision	Feb 19, 2020	ClusteringDomain Adaptation	CodeCode Available	1	5
Improving Mini-batch Optimal Transport via Partial Transportation	Aug 22, 2021	Domain AdaptationPartial Domain Adaptation	CodeCode Available	1	5
Adversarial Reweighting for Partial Domain Adaptation	Dec 1, 2021	Domain AdaptationPartial Domain Adaptation	CodeCode Available	1	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

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