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target domain

35 papers

Papers

Semi-supervised Domain Adaptation via Mutual Alignment through Joint Error WACV 2026 Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation CVPR 2024 Domain-Aware Data Selection for Speech Classification via Meta-Reweighting Interspeech 2024 Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer CVPR 2024 A Probabilistic Framework for Lifelong Test-Time Adaptation CVPR 2023 AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection CVPR 2023 Local Context-Aware Active Domain Adaptation ICCV 2023 SPA: A Graph Spectral Alignment Perspective for Domain Adaptation NeurIPS 2023 Active Learning for Domain Adaptation: An Energy-Based Approach AAAI 2022 AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation ICLR 2022 Confidence Score for Source-Free Unsupervised Domain Adaptation ICML 2022 Domain Adaptation for Time Series Forecasting via Attention Sharing ICML 2022 Domain Adaptation of Machine Translation with Crowdworkers EMNLP 2022 Domain Alignment Meets Fully Test-Time Adaptation ACML 2022 Mutual Learning of Joint and Separate Domain Alignments for Multi-Source Domain Adaptation WACV 2022 Does enforcing fairness mitigate biases caused by subpopulation shift? NeurIPS 2021 Domain Adaptation With Auxiliary Target Domain-Oriented Classifier CVPR 2021 Exploiting Auxiliary Data for Offensive Language Detection with Bidirectional Transformers ACL 2021 Pareto Domain Adaptation NeurIPS 2021 TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation NeurIPS 2021 Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning NeurIPS 2021 Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning AAAI 2020 Margin-aware Adversarial Domain Adaptation with Optimal Transport ICML 2020 Transfer Learning for Anomaly Detection through Localized and Unsupervised Instance Selection AAAI 2020 Biomedical Relation Classification by single and multiple source domain adaptation EMNLP 2019