{"total":106,"rows":[{"id":"2104.03620","title":"Open Domain Generalization with Domain-Augmented Meta-Learning","created":"2021-04-08","cited_by_count":115,"area":null},{"id":"2204.11257","title":"Source-Free Domain Adaptation via Distribution Estimation","created":"2022-04-24","cited_by_count":97,"area":null},{"id":"2301.00265","title":"Source-Free Unsupervised Domain Adaptation: A Survey","created":"2022-12-31","cited_by_count":80,"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":"2203.11819","title":"A Broad Study of Pre-training for Domain Generalization and Adaptation","created":"2022-03-22","cited_by_count":65,"area":null},{"id":"2101.12195","title":"Playable Video Generation","created":"2021-01-28","cited_by_count":64,"area":null},{"id":"2107.02053","title":"MixStyle Neural Networks for Domain Generalization and Adaptation","created":"2021-07-05","cited_by_count":64,"area":null},{"id":"2110.12024","title":"A Prototype-Oriented Framework for Unsupervised Domain Adaptation","created":"2021-10-22","cited_by_count":62,"area":null},{"id":"2206.08009","title":"Balancing Discriminability and Transferability for Source-Free Domain Adaptation","created":"2022-06-16","cited_by_count":58,"area":null},{"id":"2102.11203","title":"A Theory of Label Propagation for Subpopulation Shift","created":"2021-02-22","cited_by_count":48,"area":null},{"id":"2101.00588","title":"Style Normalization and Restitution for Domain Generalization and Adaptation","created":"2021-01-03","cited_by_count":46,"area":null},{"id":"2110.01428","title":"Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection","created":"2021-10-04","cited_by_count":45,"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":"2201.01003","title":"Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple Sources","created":"2022-01-04","cited_by_count":42,"area":null},{"id":"2108.08596","title":"Feature Stylization and Domain-aware Contrastive Learning for Domain Generalization","created":"2021-08-19","cited_by_count":40,"area":null},{"id":"2104.00808","title":"Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation","created":"2021-04-01","cited_by_count":37,"area":null},{"id":"2310.04723","title":"Subspace Identification for Multi-Source Domain Adaptation","created":"2023-10-07","cited_by_count":37,"area":null},{"id":"2106.10812","title":"ToAlign: Task-oriented Alignment for Unsupervised Domain Adaptation","created":"2021-06-21","cited_by_count":33,"area":null},{"id":"2112.07517","title":"A Style and Semantic Memory Mechanism for Domain Generalization","created":"2021-12-14","cited_by_count":32,"area":null},{"id":"2103.10583","title":"Dynamic Transfer for Multi-Source Domain Adaptation","created":"2021-03-19","cited_by_count":29,"area":null},{"id":"2202.10725","title":"Multi-Source Unsupervised Domain Adaptation via Pseudo Target Domain","created":"2022-02-22","cited_by_count":28,"area":null},{"id":"2106.06788","title":"Learngene: From Open-World to Your Learning Task","created":"2021-06-12","cited_by_count":27,"area":null},{"id":"2209.15210","title":"Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation","created":"2022-09-30","cited_by_count":25,"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":"2308.01265","title":"Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives","created":"2023-07-18","cited_by_count":24,"area":null},{"id":"2204.02744","title":"Universal Representations: A Unified Look at Multiple Task and Domain Learning","created":"2022-04-06","cited_by_count":23,"area":null},{"id":"2106.15793","title":"Multi-Source Domain Adaptation for Object Detection","created":"2021-06-30","cited_by_count":21,"area":null},{"id":"2109.09964","title":"Multi-Source Video Domain Adaptation with Temporal Attentive Moment Alignment","created":"2021-09-21","cited_by_count":20,"area":null},{"id":"2112.09654","title":"FastSurferVINN: Building Resolution-Independence into Deep Learning Segmentation Methods -- A Solution for HighRes Brain MRI","created":"2021-12-17","cited_by_count":19,"area":null},{"id":"2203.11635","title":"Feature Distribution Matching for Federated Domain Generalization","created":"2022-03-22","cited_by_count":18,"area":null},{"id":"2202.00796","title":"On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation","created":"2022-02-01","cited_by_count":16,"area":null},{"id":"2104.01568","title":"Information-theoretic regularization for Multi-source Domain Adaptation","created":"2021-04-04","cited_by_count":15,"area":null},{"id":"2111.04986","title":"Unified Group Fairness on Federated Learning","created":"2021-11-09","cited_by_count":15,"area":null},{"id":"2111.13822","title":"On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources","created":"2021-11-27","cited_by_count":15,"area":null},{"id":"2107.06154","title":"Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain Adaptation","created":"2021-07-13","cited_by_count":14,"area":null},{"id":"2112.07516","title":"Transferrable Contrastive Learning for Visual Domain Adaptation","created":"2021-12-14","cited_by_count":14,"area":null},{"id":"2204.07964","title":"Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection","created":"2022-04-17","cited_by_count":14,"area":null},{"id":"2208.14888","title":"Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation","created":"2022-08-31","cited_by_count":14,"area":null},{"id":"2306.06510","title":"Partial Identifiability for Domain Adaptation","created":"2023-06-10","cited_by_count":14,"area":null},{"id":"2401.14148","title":"LanDA: Language-Guided Multi-Source Domain Adaptation","created":"2024-01-25","cited_by_count":13,"area":null},{"id":"2103.11661","title":"Re-energizing Domain Discriminator with Sample Relabeling for Adversarial Domain Adaptation","created":"2021-03-22","cited_by_count":12,"area":null},{"id":"2106.12124","title":"Secure Domain Adaptation with Multiple Sources","created":"2021-06-23","cited_by_count":12,"area":null},{"id":"2106.16093","title":"Multi-Source domain adaptation via supervised contrastive learning and confident consistency regularization","created":"2021-06-30","cited_by_count":12,"area":null},{"id":"2401.10272","title":"Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization","created":"2024-01-05","cited_by_count":12,"area":null},{"id":"2103.13873","title":"Inferring Latent Domains for Unsupervised Deep Domain Adaptation","created":"2021-03-25","cited_by_count":11,"area":null},{"id":"2312.05632","title":"Subject-Based Domain Adaptation for Facial Expression Recognition","created":"2023-12-09","cited_by_count":11,"area":null},{"id":"2106.01656","title":"Generalized Domain Adaptation","created":"2021-06-03","cited_by_count":10,"area":null},{"id":"2109.03478","title":"Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation","created":"2021-09-08","cited_by_count":10,"area":null},{"id":"2310.07361","title":"Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters","created":"2023-10-11","cited_by_count":9,"area":null},{"id":"2405.00749","title":"More is Better: Deep Domain Adaptation with Multiple Sources","created":"2024-05-01","cited_by_count":9,"area":null},{"id":"2104.13057","title":"Graphical Modeling for Multi-Source Domain Adaptation","created":"2021-04-27","cited_by_count":7,"area":null},{"id":"2109.12391","title":"Multi-source Few-shot Domain Adaptation","created":"2021-09-25","cited_by_count":7,"area":null},{"id":"2106.08590","title":"Domain Consistency Regularization for Unsupervised Multi-source Domain Adaptive Classification","created":"2021-06-16","cited_by_count":6,"area":null},{"id":"2203.05028","title":"Dynamic Instance Domain Adaptation","created":"2022-03-09","cited_by_count":6,"area":null},{"id":"2305.09893","title":"Integrating Multiple Sources Knowledge for Class Asymmetry Domain Adaptation Segmentation of Remote Sensing Images","created":"2023-05-17","cited_by_count":6,"area":null},{"id":"2204.05104","title":"Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation","created":"2022-04-08","cited_by_count":5,"area":null},{"id":"2207.05070","title":"Discovering Domain Disentanglement for Generalized Multi-source Domain Adaptation","created":"2022-07-11","cited_by_count":5,"area":null},{"id":"2311.15570","title":"UFDA: Universal Federated Domain Adaptation with Practical Assumptions","created":"2023-11-27","cited_by_count":5,"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":"2103.15973","title":"Adaptive Pseudo-Label Refinement by Negative Ensemble Learning for Source-Free Unsupervised Domain Adaptation","created":"2021-03-29","cited_by_count":4,"area":null},{"id":"2106.13899","title":"Domain Conditional Predictors for Domain Adaptation","created":"2021-06-25","cited_by_count":4,"area":null},{"id":"2109.02693","title":"Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers","created":"2021-09-06","cited_by_count":4,"area":null},{"id":"2111.03911","title":"Domain Attention Consistency for Multi-Source Domain Adaptation","created":"2021-11-06","cited_by_count":4,"area":null},{"id":"2202.06884","title":"COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse LiDAR datasets","created":"2022-02-14","cited_by_count":4,"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":"2304.12314","title":"Distilling from Similar Tasks for Transfer Learning on a Budget","created":"2023-04-24","cited_by_count":4,"area":null},{"id":"2402.14145","title":"Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains","created":"2024-02-21","cited_by_count":4,"area":null},{"id":"2407.05688","title":"Learning with Alignments: Tackling the Inter- and Intra-domain Shifts for Cross-multidomain Facial Expression Recognition","created":"2024-07-08","cited_by_count":4,"area":null},{"id":"2506.11493","title":"Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation","created":"2025-06-13","cited_by_count":4,"area":null},{"id":"2508.12522","title":"MuSACo: Multimodal Subject-Specific Selection and Adaptation for Expression Recognition with Co-Training","created":"2025-08-17","cited_by_count":4,"area":null},{"id":"2201.11870","title":"Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired Classifiers","created":"2022-01-28","cited_by_count":3,"area":null},{"id":"2210.01676","title":"Robust Target Training for Multi-Source Domain Adaptation","created":"2022-10-04","cited_by_count":3,"area":null},{"id":"2503.06106","title":"Vision-aware Multimodal Prompt Tuning for Uploadable Multi-source Few-shot Domain Adaptation","created":"2025-03-08","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":"2203.03212","title":"Maximizing Conditional Independence for Unsupervised Domain Adaptation","created":"2022-03-07","cited_by_count":2,"area":null},{"id":"2211.08866","title":"Unsupervised Domain Adaptation Based on the Predictive Uncertainty of Models","created":"2022-11-16","cited_by_count":2,"area":null},{"id":"2402.08249","title":"SepRep-Net: Multi-source Free Domain Adaptation via Model Separation And Reparameterization","created":"2024-02-13","cited_by_count":2,"area":null},{"id":"2405.20620","title":"\"Forgetting\" in Machine Learning and Beyond: A Survey","created":"2024-05-31","cited_by_count":2,"area":null},{"id":"2508.05182","title":"SPA++: Generalized Graph Spectral Alignment for Versatile Domain Adaptation","created":"2025-08-07","cited_by_count":2,"area":null},{"id":"2604.23790","title":"A General Representation-Based Approach to Multi-Source Domain Adaptation","created":"2026-04-26","cited_by_count":2,"area":null},{"id":"2211.09913","title":"Multi-source Domain Adaptation for Text-independent Forensic Speaker Recognition","created":"2022-11-17","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":"2303.05734","title":"Generative Model Based Noise Robust Training for Unsupervised Domain Adaptation","created":"2023-03-10","cited_by_count":1,"area":null},{"id":"2307.02493","title":"FREEDOM: Target Label & Source Data & Domain Information-Free Multi-Source Domain Adaptation for Unsupervised Personalization","created":"2023-07-04","cited_by_count":1,"area":null},{"id":"2310.16062","title":"Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning","created":"2023-10-24","cited_by_count":1,"area":null},{"id":"2108.09208","title":"Exploring Data Aggregation and Transformations to Generalize across Visual Domains","created":"2021-08-20","cited_by_count":0,"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":"2303.01003","title":"Target Domain Data induces Negative Transfer in Mixed Domain Training with Disjoint Classes","created":"2023-03-02","cited_by_count":0,"area":null},{"id":"2307.00479","title":"Domain Transfer Through Image-to-Image Translation for Uncertainty-Aware Prostate Cancer Classification","created":"2023-07-02","cited_by_count":0,"area":null},{"id":"2307.14068","title":"Dynamic Domain Discrepancy Adjustment for Active Multi-Domain Adaptation","created":"2023-07-26","cited_by_count":0,"area":null},{"id":"2312.17300","title":"Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space","created":"2023-12-28","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":"2401.02941","title":"Unsupervised Federated Domain Adaptation for Segmentation of MRI Images","created":"2024-01-02","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":"2404.06599","title":"Collaborative Multi-source Domain Adaptation Through Optimal Transport","created":"2024-04-09","cited_by_count":0,"area":null},{"id":"2404.12635","title":"AED-PADA:Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptation","created":"2024-04-19","cited_by_count":0,"area":null},{"id":"2405.04061","title":"Generalized Cauchy-Schwarz Divergence and Its Deep Learning Applications","created":"2024-05-07","cited_by_count":0,"area":null},{"id":"2412.02280","title":"AH-OCDA: Amplitude-based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptation","created":"2024-12-03","cited_by_count":0,"area":null},{"id":"2412.16255","title":"Multi-Source Unsupervised Domain Adaptation with Prototype Aggregation","created":"2024-12-20","cited_by_count":0,"area":null},{"id":"2501.01142","title":"Adaptive Hardness-driven Augmentation and Alignment Strategies for Multi-Source Domain Adaptations","created":"2025-01-02","cited_by_count":0,"area":null}],"next_cursor":"100"}