Methods › General › Domain Adaptation › Source Hypothesis Transfer

Source Hypothesis Transfer

3 papers tagged archive 2025-07-28

Introduced by Jian Liang et al. in Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

Source Hypothesis Transfer, or SHOT, is a representation learning framework for unsupervised domain adaptation. SHOT freezes the classifier module (hypothesis) of the source model and learns the target-specific feature extraction module by exploiting both information maximization and self-supervised pseudo-labeling to implicitly align representations from the target domains to the source hypothesis.

Paper Source

Papers archive 2025-07-28

3 shown of 3, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer
7 Jul 2021 · 1 repository · arXiv:2107.03008
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer
14 Dec 2020 · 2 repositories · arXiv:2012.07297

Syntology ran 3 of 3 samples · 0 unverified · 2 pointer-only (licence)
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
20 Feb 2020 · 3 repositories · arXiv:2002.08546

Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)

Tasks archive 2025-07-28

12 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

Task	Papers
Domain Adaptation	3
Source-Free Domain Adaptation	2
Unsupervised Domain Adaptation	2
Classification	1
Diversity	1
General Classification	1
Object Recognition	1
Partial Domain Adaptation	1
Representation Learning	1
Self-Supervised Learning	1
Semi-supervised Domain Adaptation	1
Universal Domain Adaptation	1

Usage over time archive 2025-07-28

Papers per year the archive tags with this method, by the paper's archive date (3 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Domain Adaptation

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