{"total":47,"rows":[{"id":"2102.09508","title":"Domain Adaptation for Medical Image Analysis: A Survey","created":"2021-02-18","cited_by_count":352,"area":null},{"id":"2208.07422","title":"Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives","created":"2022-08-15","cited_by_count":98,"area":null},{"id":"2106.06333","title":"Invariant Information Bottleneck for Domain Generalization","created":"2021-06-11","cited_by_count":86,"area":null},{"id":"2104.01845","title":"Unsupervised Multi-source Domain Adaptation Without Access to Source Data","created":"2021-04-05","cited_by_count":76,"area":null},{"id":"2206.01323","title":"SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG","created":"2022-06-02","cited_by_count":53,"area":null},{"id":"2103.11169","title":"Your Classifier can Secretly Suffice Multi-Source Domain Adaptation","created":"2021-03-20","cited_by_count":42,"area":null},{"id":"2111.14820","title":"Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective","created":"2021-11-29","cited_by_count":40,"area":null},{"id":"2105.04051","title":"Aggregating From Multiple Target-Shifted Sources","created":"2021-05-09","cited_by_count":24,"area":null},{"id":"2107.14447","title":"T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation","created":"2021-07-30","cited_by_count":24,"area":null},{"id":"2106.15793","title":"Multi-Source Domain Adaptation for Object Detection","created":"2021-06-30","cited_by_count":21,"area":null},{"id":"2311.01064","title":"Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images","created":"2023-11-02","cited_by_count":13,"area":null},{"id":"2312.05134","title":"Optimal Multi-Distribution Learning","created":"2023-12-08","cited_by_count":13,"area":null},{"id":"2211.03165","title":"Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting","created":"2022-11-06","cited_by_count":12,"area":null},{"id":"2206.11492","title":"Gradual Domain Adaptation via Normalizing Flows","created":"2022-06-23","cited_by_count":11,"area":null},{"id":"2405.02985","title":"Can Large Language Models Make the Grade? An Empirical Study Evaluating LLMs Ability to Mark Short Answer Questions in K-12 Education","created":"2024-05-05","cited_by_count":11,"area":null},{"id":"2211.09317","title":"Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine","created":"2022-11-17","cited_by_count":8,"area":null},{"id":"2201.10747","title":"Learning Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super Resolution","created":"2022-01-26","cited_by_count":6,"area":null},{"id":"2312.12276","title":"POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning","created":"2023-12-19","cited_by_count":6,"area":null},{"id":"2405.19221","title":"Domain adaptation in small-scale and heterogeneous biological datasets","created":"2024-05-29","cited_by_count":5,"area":null},{"id":"2208.08015","title":"Cross-Domain Few-Shot Classification via Inter-Source Stylization","created":"2022-08-17","cited_by_count":4,"area":null},{"id":"2212.03176","title":"Domain Adaptation and Generalization on Functional Medical Images: A Systematic Survey","created":"2022-12-04","cited_by_count":4,"area":null},{"id":"2310.18373","title":"Can LLMs Grade Short-Answer Reading Comprehension Questions : An Empirical Study with a Novel Dataset","created":"2023-10-26","cited_by_count":4,"area":null},{"id":"2404.18773","title":"A Universal Metric of Dataset Similarity for Cross-silo Federated Learning","created":"2024-04-29","cited_by_count":4,"area":null},{"id":"2112.02922","title":"Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning","created":"2021-12-06","cited_by_count":3,"area":null},{"id":"2202.04359","title":"Cost-effective Framework for Gradual Domain Adaptation with Multifidelity","created":"2022-02-09","cited_by_count":3,"area":null},{"id":"2308.00918","title":"A Novel Cross-Perturbation for Single Domain Generalization","created":"2023-08-02","cited_by_count":3,"area":null},{"id":"2404.17454","title":"Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond","created":"2024-04-26","cited_by_count":3,"area":null},{"id":"2102.06386","title":"Multi-source Pseudo-label Learning of Semantic Segmentation for the Scene Recognition of Agricultural Mobile Robots","created":"2021-02-12","cited_by_count":2,"area":null},{"id":"2301.07634","title":"Training Semantic Segmentation on Heterogeneous Datasets","created":"2023-01-18","cited_by_count":2,"area":null},{"id":"2304.06489","title":"Domain Adaptation for Inertial Measurement Unit-based Human Activity Recognition: A Survey","created":"2023-04-07","cited_by_count":2,"area":null},{"id":"2312.05460","title":"Multi-source domain adaptation for regression","created":"2023-12-09","cited_by_count":2,"area":null},{"id":"2408.10235","title":"Multi-Source EEG Emotion Recognition via Dynamic Contrastive Domain Adaptation","created":"2024-08-04","cited_by_count":2,"area":null},{"id":"2409.14679","title":"Quantifying Context Bias in Domain Adaptation for Object Detection","created":"2024-09-23","cited_by_count":2,"area":null},{"id":"2105.06535","title":"Learning Robust Hierarchical Patterns of Human Brain across Many fMRI Studies","created":"2021-05-13","cited_by_count":1,"area":null},{"id":"2108.03531","title":"Learning to Transfer with von Neumann Conditional Divergence","created":"2021-08-07","cited_by_count":1,"area":null},{"id":"2302.00995","title":"Open-Set Multi-Source Multi-Target Domain Adaptation","created":"2023-02-02","cited_by_count":1,"area":null},{"id":"2308.02951","title":"Multi-Source (Pre-)Training for Cross-Domain Measurement, Unit and Context Extraction","created":"2023-08-05","cited_by_count":1,"area":null},{"id":"2501.14120","title":"On the Transfer of Knowledge in Quantum Algorithms","created":"2025-01-23","cited_by_count":1,"area":null},{"id":"2208.02947","title":"Joint Attention-Driven Domain Fusion and Noise-Tolerant Learning for Multi-Source Domain Adaptation","created":"2022-08-05","cited_by_count":0,"area":null},{"id":"2306.01706","title":"Is Generative Modeling-based Stylization Necessary for Domain Adaptation in Regression Tasks?","created":"2023-06-02","cited_by_count":0,"area":null},{"id":"2401.02561","title":"CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions","created":"2024-01-04","cited_by_count":0,"area":null},{"id":"2403.10737","title":"Leveraging Synthetic Data for Generalizable and Fair Facial Action Unit Detection","created":"2024-03-15","cited_by_count":0,"area":null},{"id":"2502.03587","title":"Stein Discrepancy for Unsupervised Domain Adaptation","created":"2025-02-05","cited_by_count":0,"area":null},{"id":"2506.05972","title":"Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review","created":"2025-06-06","cited_by_count":0,"area":null},{"id":"2508.09174","title":"FedMP: Tackling Medical Feature Heterogeneity in Federated Learning from a Manifold Perspective","created":"2025-08-07","cited_by_count":0,"area":null},{"id":"2508.12842","title":"Multi-source Multimodal Progressive Domain Adaption for Audio-Visual Deception Detection","created":"2025-08-18","cited_by_count":0,"area":null},{"id":"2605.05567","title":"Locality-aware Private Class Identification for Domain Adaptation with Extreme Label Shift","created":"2026-05-07","cited_by_count":0,"area":null}],"next_cursor":null}