Partial Domain Adaptation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

5 leaderboard tables shown for this task, 5 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

20 shown of 20 papers with code (56 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
  20 Feb 2020 3 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Unsupervised domain adaptation (UDA) aims to leverage the knowledge learned from a labeled source dataset to solve similar tasks in a new unlabeled domain.
• Minimum Class Confusion for Versatile Domain Adaptation
  8 Dec 2019 3 repositories listed Syntology ran 1 of 4 samples · 3 unverified · 4 pointer-only (licence)
  It can be characterized as (1) a non-adversarial DA method without explicitly deploying domain alignment, enjoying faster convergence speed; (2) a versatile approach that can handle four existing scenarios: Closed-Set,…
• Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation
  19 Nov 2018 3 repositories listed
  Domain adaptation enables the learner to safely generalize into novel environments by mitigating domain shifts across distributions.
• Selective Partial Domain Adaptation
  1 Oct 2022 2 repositories listed
  To solve this problem, we propose a Selective Partial Domain Adaptation (SPDA) method, which selects useful data for the adaptation to the target domain.
• Improving Mini-batch Optimal Transport via Partial Transportation
  22 Aug 2021 2 repositories listed Syntology ran 7 of 11 samples · 4 unverified · 1 pointer-only (licence)
  Mini-batch optimal transport (m-OT) has been widely used recently to deal with the memory issue of OT in large-scale applications.
• Partial Adversarial Domain Adaptation
  10 Aug 2018 2 repositories listed Syntology ran 0 of 2 samples · 2 unverified · 2 pointer-only (licence)
  We present Partial Adversarial Domain Adaptation (PADA), which simultaneously alleviates negative transfer by down-weighing the data of outlier source classes for training both source classifier and domain adversary,…
• Learning to Discover Knowledge: A Weakly-Supervised Partial Domain Adaptation Approach
  20 Jun 2024 1 repository listed
  As such, the key issues of WS-PDA are: 1) how to sufficiently discover the knowledge from the noisy labeled source domain and the unlabeled target domain, and 2) how to successfully adapt the knowledge across domains.
• OneRing: A Simple Method for Source-free Open-partial Domain Adaptation
  7 Jun 2022 1 repository listed
  In this paper, we investigate Source-free Open-partial Domain Adaptation (SF-OPDA), which addresses the situation where there exist both domain and category shifts between source and target domains.
• From Big to Small: Adaptive Learning to Partial-Set Domains
  14 Mar 2022 1 repository listed
  Still, the common requirement of identical class space shared across domains hinders applications of domain adaptation to partial-set domains.
• Implicit Semantic Response Alignment for Partial Domain Adaptation
  1 Dec 2021 1 repository listed
  Partial Domain Adaptation (PDA) addresses the unsupervised domain adaptation problem where the target label space is a subset of the source label space.
• Adversarial Reweighting for Partial Domain Adaptation
  1 Dec 2021 1 repository listed
  To tackle the challenge of negative domain transfer, we propose a novel Adversarial Reweighting (AR) approach that adversarially learns the weights of source domain data to align the source and target domain…
• Source Class Selection with Label Propagation for Partial Domain Adaptation
  1 Sep 2021 1 repository listed
  The outlier classes can be detected if no target-domain data are labeled as these classes.
• Partial Domain Adaptation without Domain Alignment
  29 Aug 2021 1 repository listed
  Considering the difficulty of perfect alignment in solving PDA, we turn to focus on the model smoothness while discard the riskier domain alignment to enhance the adaptability of the model.
• Domain Consensus Clustering for Universal Domain Adaptation
  5 Jun 2021 1 repository listed
  To better exploit the intrinsic structure of the target domain, we propose Domain Consensus Clustering (DCC), which exploits the domain consensus knowledge to discover discriminative clusters on both common samples and…
• Unsupervised Domain Adaptation with Progressive Adaptation of Subspaces
  1 Sep 2020 1 repository listed
  Unsupervised Domain Adaptation (UDA) aims to classify unlabeled target domain by transferring knowledge from labeled source domain with domain shift.
• Deep Residual Correction Network for Partial Domain Adaptation
  10 Apr 2020 1 repository listed
  Deep domain adaptation methods have achieved appealing performance by learning transferable representations from a well-labeled source domain to a different but related unlabeled target domain.
• A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation
  5 Mar 2020 1 repository listed Syntology ran 6 of 10 samples · 4 unverified
  On one hand, negative transfer results in misclassification of target samples to the classes only present in the source domain.
• Universal Domain Adaptation through Self Supervision
  19 Feb 2020 1 repository listed
  While some methods address target settings with either partial or open-set categories, they assume that the particular setting is known a priori.
• Learning to Transfer Examples for Partial Domain Adaptation
  28 Mar 2019 1 repository listed
  Under the condition that target labels are unknown, the key challenge of PDA is how to transfer relevant examples in the shared classes to promote positive transfer, and ignore irrelevant ones in the specific classes to…
• Importance Weighted Adversarial Nets for Partial Domain Adaptation
  25 Mar 2018 1 repository listed
  This paper proposes an importance weighted adversarial nets-based method for unsupervised domain adaptation, specific for partial domain adaptation where the target domain has less number of classes compared to the…

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.