Methods › General › Domain Adaptation › Mechanism Transfer
Mechanism Transfer
Introduced by Takeshi Teshima et al. in Few-shot Domain Adaptation by Causal Mechanism Transfer
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Mechanism Transfer is a meta-distributional scenario for few-shot domain adaptation in which a data generating mechanism is invariant across domains. This transfer assumption can accommodate nonparametric shifts resulting in apparently different distributions while providing a solid statistical basis for domain adaptation.
Papers archive 2025-07-28
2 shown of 2, 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.
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Rethinking Importance Weighting for Transfer Learning 19 Dec 2021 · 0 repositories · arXiv:2112.10157
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Few-shot Domain Adaptation by Causal Mechanism Transfer 10 Feb 2020 · 1 repository · arXiv:2002.03497Syntology ran 4 of 10 samples · 6 unverified
Tasks archive 2025-07-28
3 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 | 1 |
| Selection bias | 1 |
| Transfer Learning | 1 |
Usage over time archive 2025-07-28
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
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