{"url":"/task/semi-supervised-domain-adaptation","name":"Semi-supervised Domain Adaptation","slug":"semi-supervised-domain-adaptation","description_markdown":null,"categories":[],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":133,"papers_with_code":56,"benchmarks":0,"benchmark_tables_in_archive":0,"benchmark_tables_shown":0,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":1,"subtasks":0,"parent_tasks":0},"benchmarks":[],"datasets":[{"url":"/dataset/visda-2017","name":"VisDA-2017","full_name":"VisDA-2017","num_papers_in_archive":223}],"subtasks":[],"parent_tasks":[],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":30,"of":56,"tagged_in_all":133,"items":[{"url":"/paper/adamatch-a-unified-approach-to-semi","title":"AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation","date":"2021-06-08","arxiv_id":"2106.04732","repositories_listed":6,"syntology":{"n":20,"n_ran":8,"n_unverified":12,"n_pointer_only":9}},{"url":"/paper/semi-supervised-domain-adaptation-via-minimax","title":"Semi-supervised Domain Adaptation via Minimax Entropy","date":"2019-04-13","arxiv_id":"1904.06487","repositories_listed":5,"syntology":{"n":24,"n_ran":5,"n_unverified":19,"n_pointer_only":2}},{"url":"/paper/cross-domain-adaptive-clustering-for-semi","title":"Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation","date":"2021-04-19","arxiv_id":"2104.09415","repositories_listed":3,"syntology":{"n":9,"n_ran":7,"n_unverified":2,"n_pointer_only":9}},{"url":"/paper/cross-modal-learning-for-domain-adaptation-in","title":"Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation","date":"2021-01-18","arxiv_id":"2101.07253","repositories_listed":3,"syntology":null},{"url":"/paper/reducing-domain-gap-via-style-agnostic","title":"Reducing Domain Gap by Reducing Style Bias","date":"2019-10-25","arxiv_id":"1910.11645","repositories_listed":3,"syntology":null},{"url":"/paper/semantic-aware-representation-learning-via-1","title":"Probabilistic Contrastive Learning for Domain Adaptation","date":"2021-11-11","arxiv_id":"2111.06021","repositories_listed":2,"syntology":null},{"url":"/paper/attract-perturb-and-explore-learning-a","title":"Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation","date":"2020-07-18","arxiv_id":"2007.09375","repositories_listed":2,"syntology":null},{"url":"/paper/multi-source-domain-adaptation-and-semi","title":"Multi-Source Domain Adaptation and Semi-Supervised Domain Adaptation with Focus on Visual Domain Adaptation Challenge 2019","date":"2019-10-08","arxiv_id":"1910.03548","repositories_listed":2,"syntology":null},{"url":"/paper/rohan-robust-hand-detection-in-operation-room","title":"RoHan: Robust Hand Detection in Operation Room","date":"2025-01-14","arxiv_id":"2501.08115","repositories_listed":1,"syntology":null},{"url":"/paper/gla-da-global-local-alignment-domain","title":"GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time Series","date":"2024-10-09","arxiv_id":"2410.06671","repositories_listed":1,"syntology":null},{"url":"/paper/is-user-feedback-always-informative-retrieval","title":"Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data","date":"2024-07-22","arxiv_id":"2407.15383","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_unverified":0,"n_pointer_only":2}},{"url":"/paper/semi-supervised-heterogeneous-domain","title":"Semi Supervised Heterogeneous Domain Adaptation via Disentanglement and Pseudo-Labelling","date":"2024-06-20","arxiv_id":"2406.14087","repositories_listed":1,"syntology":null},{"url":"/paper/semi-supervised-domain-adaptation-using","title":"Semi-Supervised Domain Adaptation Using Target-Oriented Domain Augmentation for 3D Object Detection","date":"2024-06-17","arxiv_id":"2406.11313","repositories_listed":1,"syntology":null},{"url":"/paper/dallmi-domain-adaption-for-llm-based-multi","title":"DALLMi: Domain Adaption for LLM-based Multi-label Classifier","date":"2024-05-03","arxiv_id":"2405.01883","repositories_listed":1,"syntology":null},{"url":"/paper/semi-supervised-domain-adaptation-for-5","title":"Semi-Supervised Domain Adaptation for Wildfire Detection","date":"2024-04-02","arxiv_id":"2404.01842","repositories_listed":1,"syntology":null},{"url":"/paper/enhancing-semi-supervised-domain-adaptation","title":"Enhancing Semi-supervised Domain Adaptation via Effective Target Labeling","date":"2024-03-24","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/universal-semi-supervised-domain-adaptation","title":"Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias","date":"2024-03-17","arxiv_id":"2403.11234","repositories_listed":1,"syntology":null},{"url":"/paper/semi-supervised-domain-adaptation-on-graphs","title":"Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy","date":"2023-09-14","arxiv_id":"2309.07402","repositories_listed":1,"syntology":null},{"url":"/paper/domain-adaptation-for-medical-image","title":"Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training","date":"2023-07-31","arxiv_id":"2307.16660","repositories_listed":1,"syntology":null},{"url":"/paper/divide-and-adapt-active-domain-adaptation-via-1","title":"Divide and Adapt: Active Domain Adaptation via Customized Learning","date":"2023-07-21","arxiv_id":"2307.11618","repositories_listed":1,"syntology":null},{"url":"/paper/causality-oriented-robustness-exploiting","title":"Causality-oriented robustness: exploiting general noise interventions","date":"2023-07-18","arxiv_id":"2307.10299","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_unverified":0,"n_pointer_only":0}},{"url":"/paper/semi-supervised-domain-adaptive-medical-image","title":"Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled Contrastive Learning","date":"2023-07-06","arxiv_id":"2307.02798","repositories_listed":1,"syntology":null},{"url":"/paper/semi-supervised-domain-adaptation-via-2","title":"Semi-supervised Domain Adaptation via Prototype-based Multi-level Learning","date":"2023-05-04","arxiv_id":"2305.02693","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_unverified":0,"n_pointer_only":1}},{"url":"/paper/semi-supervised-domain-adaptation-with-source","title":"Semi-Supervised Domain Adaptation with Source Label Adaptation","date":"2023-02-05","arxiv_id":"2302.02335","repositories_listed":1,"syntology":null},{"url":"/paper/deepastrouda-semi-supervised-universal-domain","title":"DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection","date":"2023-02-03","arxiv_id":"2302.02005","repositories_listed":1,"syntology":null},{"url":"/paper/madav2-advanced-multi-anchor-based-active","title":"MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation","date":"2023-01-18","arxiv_id":"2301.07354","repositories_listed":1,"syntology":null},{"url":"/paper/ssda3d-semi-supervised-domain-adaptation-for","title":"SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud","date":"2022-12-06","arxiv_id":"2212.02845","repositories_listed":1,"syntology":null},{"url":"/paper/pred-guide-labeled-target-class-prediction","title":"Pred&Guide: Labeled Target Class Prediction for Guiding Semi-Supervised Domain Adaptation","date":"2022-11-22","arxiv_id":"2211.11975","repositories_listed":1,"syntology":null},{"url":"/paper/semi-supervised-domain-adaptation-for-cross","title":"Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection","date":"2022-11-01","arxiv_id":"2211.00677","repositories_listed":1,"syntology":{"n":2,"n_ran":0,"n_unverified":2,"n_pointer_only":0}},{"url":"/paper/leveraging-unsupervised-data-and-domain","title":"Leveraging unsupervised data and domain adaptation for deep regression in low-cost sensor calibration","date":"2022-10-02","arxiv_id":"2210.00521","repositories_listed":1,"syntology":null}],"syntology_records":7,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}