{"total":92,"rows":[{"id":"2301.00265","title":"Source-Free Unsupervised Domain Adaptation: A Survey","created":"2022-12-31","cited_by_count":80,"area":null},{"id":"2302.03133","title":"Domain Adaptation for Time Series Under Feature and Label Shifts","created":"2023-02-06","cited_by_count":60,"area":null},{"id":"2208.07591","title":"Uncertainty-guided Source-free Domain Adaptation","created":"2022-08-16","cited_by_count":46,"area":null},{"id":"2105.14148","title":"OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers","created":"2021-05-28","cited_by_count":43,"area":null},{"id":"2303.07110","title":"Upcycling Models under Domain and Category Shift","created":"2023-03-13","cited_by_count":29,"area":null},{"id":"2302.06378","title":"Semantic Image Segmentation: Two Decades of Research","created":"2023-02-13","cited_by_count":27,"area":null},{"id":"2403.03421","title":"LEAD: Learning Decomposition for Source-free Universal Domain Adaptation","created":"2024-03-06","cited_by_count":25,"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":"2308.09391","title":"Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization","created":"2023-08-18","cited_by_count":24,"area":null},{"id":"2112.08553","title":"UMAD: Universal Model Adaptation under Domain and Category Shift","created":"2021-12-16","cited_by_count":23,"area":null},{"id":"2308.13168","title":"IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization","created":"2023-08-25","cited_by_count":23,"area":null},{"id":"2312.14126","title":"Entropic Open-set Active Learning","created":"2023-12-21","cited_by_count":23,"area":null},{"id":"2412.06284","title":"Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data","created":"2024-12-09","cited_by_count":21,"area":null},{"id":"2107.11011","title":"VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data","created":"2021-07-23","cited_by_count":19,"area":null},{"id":"2112.03241","title":"Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey","created":"2021-12-06","cited_by_count":19,"area":null},{"id":"2211.11262","title":"Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All-in-One Classifier","created":"2022-11-21","cited_by_count":18,"area":null},{"id":"2304.01110","title":"AutoLabel: CLIP-based framework for Open-set Video Domain Adaptation","created":"2023-04-03","cited_by_count":18,"area":null},{"id":"2210.15909","title":"Subsidiary Prototype Alignment for Universal Domain Adaptation","created":"2022-10-28","cited_by_count":17,"area":null},{"id":"2303.15443","title":"GeoNet: Benchmarking Unsupervised Adaptation across Geographies","created":"2023-03-27","cited_by_count":17,"area":null},{"id":"2201.13279","title":"UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs","created":"2022-01-31","cited_by_count":16,"area":null},{"id":"2304.11862","title":"Universal Domain Adaptation via Compressive Attention Matching","created":"2023-04-24","cited_by_count":15,"area":null},{"id":"2312.10897","title":"Generalized Category Discovery with Large Language Models in the Loop","created":"2023-12-18","cited_by_count":15,"area":null},{"id":"2504.04804","title":"DebGCD: Debiased Learning with Distribution Guidance for Generalized Category Discovery","created":"2025-04-07","cited_by_count":15,"area":null},{"id":"2312.07871","title":"MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation","created":"2023-12-13","cited_by_count":14,"area":null},{"id":"2412.02366","title":"GenMix: Effective Data Augmentation with Generative Diffusion Model Image Editing","created":"2024-12-03","cited_by_count":14,"area":"diffusion"},{"id":"2204.14068","title":"Controlled Generation of Unseen Faults for Partial and Open-Partial Domain Adaptation","created":"2022-04-29","cited_by_count":10,"area":null},{"id":"2305.11092","title":"Universal Domain Adaptation from Foundation Models: A Baseline Study","created":"2023-05-18","cited_by_count":10,"area":null},{"id":"2307.16204","title":"Open-Set Domain Adaptation with Visual-Language Foundation Models","created":"2023-07-30","cited_by_count":10,"area":null},{"id":"2110.12635","title":"Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation","created":"2021-10-25","cited_by_count":9,"area":null},{"id":"2210.07016","title":"Learning with Style: Continual Semantic Segmentation Across Tasks and Domains","created":"2022-10-13","cited_by_count":9,"area":null},{"id":"2303.04393","title":"Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation and Gradual Alignment","created":"2023-03-08","cited_by_count":9,"area":null},{"id":"2311.10572","title":"SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning","created":"2023-11-17","cited_by_count":9,"area":null},{"id":"2311.13355","title":"Unified Classification and Rejection: A One-versus-All Framework","created":"2023-11-22","cited_by_count":9,"area":null},{"id":"2212.08355","title":"Learning Classifiers of Prototypes and Reciprocal Points for Universal Domain Adaptation","created":"2022-12-16","cited_by_count":8,"area":null},{"id":"2207.10283","title":"One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training","created":"2022-07-21","cited_by_count":7,"area":null},{"id":"2305.04466","title":"Generalized Universal Domain Adaptation with Generative Flow Networks","created":"2023-05-08","cited_by_count":7,"area":null},{"id":"2312.00826","title":"DEVIAS: Learning Disentangled Video Representations of Action and Scene","created":"2023-11-30","cited_by_count":7,"area":null},{"id":"2312.16467","title":"Transfer and Alignment Network for Generalized Category Discovery","created":"2023-12-27","cited_by_count":7,"area":null},{"id":"2408.01089","title":"Prototypical Partial Optimal Transport for Universal Domain Adaptation","created":"2024-08-02","cited_by_count":7,"area":null},{"id":"2310.05453","title":"Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation","created":"2023-10-09","cited_by_count":6,"area":null},{"id":"2311.02940","title":"The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning","created":"2023-11-06","cited_by_count":6,"area":null},{"id":"2311.15414","title":"KOPPA: Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All","created":"2023-11-26","cited_by_count":6,"area":null},{"id":"2406.11422","title":"Cross-domain Open-world Discovery","created":"2024-06-17","cited_by_count":6,"area":null},{"id":"2411.12558","title":"Recall and Refine: A Simple but Effective Source-free Open-set Domain Adaptation Framework","created":"2024-11-19","cited_by_count":6,"area":null},{"id":"2207.09280","title":"Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain Adaptation","created":"2022-07-19","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":"2211.05883","title":"Open-Set Automatic Target Recognition","created":"2022-11-10","cited_by_count":4,"area":null},{"id":"2403.05535","title":"Tell, Don't Show!: Language Guidance Eases Transfer Across Domains in Images and Videos","created":"2024-03-08","cited_by_count":4,"area":null},{"id":"2403.14410","title":"GLC++: Source-Free Universal Domain Adaptation through Global-Local Clustering and Contrastive Affinity Learning","created":"2024-03-21","cited_by_count":4,"area":null},{"id":"2407.14208","title":"Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain Adaptation using a Gaussian Mixture Model","created":"2024-07-19","cited_by_count":4,"area":null},{"id":"2506.03521","title":"Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation","created":"2025-06-04","cited_by_count":4,"area":null},{"id":"2506.23174","title":"Data Can Speak for Itself: Quality-guided Utilization of Wireless Synthetic Data","created":"2025-06-29","cited_by_count":4,"area":null},{"id":"2202.05975","title":"Robust Deep Semi-Supervised Learning: A Brief Introduction","created":"2022-02-12","cited_by_count":3,"area":null},{"id":"2206.03600","title":"OneRing: A Simple Method for Source-free Open-partial Domain Adaptation","created":"2022-06-07","cited_by_count":3,"area":null},{"id":"2303.12091","title":"Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning","created":"2023-03-21","cited_by_count":3,"area":null},{"id":"2308.10450","title":"COCA: Classifier-Oriented Calibration via Textual Prototype for Source-Free Universal Domain Adaptation","created":"2023-08-21","cited_by_count":3,"area":null},{"id":"2403.11234","title":"Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias","created":"2024-03-17","cited_by_count":3,"area":null},{"id":"2409.17512","title":"SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning","created":"2024-09-26","cited_by_count":3,"area":null},{"id":"2503.11217","title":"Deep Joint Distribution Optimal Transport for Universal Domain Adaptation on Time Series","created":"2025-03-14","cited_by_count":3,"area":null},{"id":"2110.14240","title":"3rd Place Solution for VisDA 2021 Challenge -- Universally Domain Adaptive Image Recognition","created":"2021-10-27","cited_by_count":2,"area":null},{"id":"2207.04494","title":"Towards Adaptive Unknown Authentication for Universal Domain Adaptation by Classifier Paradox","created":"2022-07-10","cited_by_count":2,"area":null},{"id":"2210.08710","title":"Handling Label Uncertainty for Camera Incremental Person Re-Identification","created":"2022-10-17","cited_by_count":2,"area":null},{"id":"2303.05933","title":"Self-Paced Learning for Open-Set Domain Adaptation","created":"2023-03-10","cited_by_count":2,"area":null},{"id":"2309.08964","title":"Tightening Classification Boundaries in Open Set Domain Adaptation through Unknown Exploitation","created":"2023-09-16","cited_by_count":2,"area":null},{"id":"2310.14849","title":"Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP","created":"2023-10-23","cited_by_count":2,"area":null},{"id":"2311.00285","title":"Mixture-of-Experts for Open Set Domain Adaptation: A Dual-Space Detection Approach","created":"2023-11-01","cited_by_count":2,"area":"moe"},{"id":"2311.04918","title":"Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help?","created":"2023-11-02","cited_by_count":2,"area":null},{"id":"2401.17728","title":"COMET: Contrastive Mean Teacher for Online Source-Free Universal Domain Adaptation","created":"2024-01-31","cited_by_count":2,"area":null},{"id":"2411.02920","title":"Domain Expansion and Boundary Growth for Open-Set Single-Source Domain Generalization","created":"2024-11-05","cited_by_count":2,"area":null},{"id":"2505.22458","title":"Universal Domain Adaptation for Semantic Segmentation","created":"2025-05-28","cited_by_count":2,"area":null},{"id":"2301.03322","title":"Simplifying Open-Set Video Domain Adaptation with Contrastive Learning","created":"2023-01-09","cited_by_count":1,"area":null},{"id":"2307.03449","title":"Universal Semi-supervised Model Adaptation via Collaborative Consistency Training","created":"2023-07-07","cited_by_count":1,"area":null},{"id":"2308.12315","title":"Trustworthy Representation Learning Across Domains","created":"2023-08-23","cited_by_count":1,"area":null},{"id":"2403.05690","title":"Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval","created":"2024-03-08","cited_by_count":1,"area":null},{"id":"2410.11271","title":"Tackling Dimensional Collapse toward Comprehensive Universal Domain Adaptation","created":"2024-10-15","cited_by_count":1,"area":null},{"id":"2412.18105","title":"Beyond the Known: Enhancing Open Set Domain Adaptation with Unknown Exploration","created":"2024-12-24","cited_by_count":1,"area":null},{"id":"2505.17899","title":"Universal Domain Adaptation Benchmark for Time Series Data Representation","created":"2025-05-23","cited_by_count":1,"area":null},{"id":"2509.09006","title":"E-MLNet: Enhanced Mutual Learning for Universal Domain Adaptation with Sample-Specific Weighting","created":"2025-09-10","cited_by_count":1,"area":null},{"id":"2509.17452","title":"Training-Free Label Space Alignment for Universal Domain Adaptation","created":"2025-09-22","cited_by_count":1,"area":"mllm"},{"id":"2209.09616","title":"Provably Uncertainty-Guided Universal Domain Adaptation","created":"2022-09-19","cited_by_count":0,"area":null},{"id":"2305.13802","title":"Online Open-set Semi-supervised Object Detection with Dual Competing Head","created":"2023-05-23","cited_by_count":0,"area":null},{"id":"2411.15557","title":"Semantically Guided Action Anticipation","created":"2024-11-23","cited_by_count":0,"area":null},{"id":"2505.14846","title":"Open-Set Semi-Supervised Learning for Long-Tailed Medical Datasets","created":"2025-05-20","cited_by_count":0,"area":null},{"id":"2505.23304","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","created":"2025-05-29","cited_by_count":0,"area":null},{"id":"2509.10833","title":"Towards Automated Error Discovery: A Study in Conversational AI","created":"2025-09-13","cited_by_count":0,"area":null},{"id":"2601.17056","title":"Ego4OOD: Rethinking Egocentric Video Domain Generalization via Covariate Shift Scoring","created":"2026-01-21","cited_by_count":0,"area":null},{"id":"2605.20030","title":"Take It or Leave It: Intent-Controlled Partial Optimal Transport","created":"2026-05-19","cited_by_count":0,"area":null},{"id":"2606.23758","title":"Exploring Dualistic Meta-Learning to Enhance Domain Generalization in Open Set Scenarios","created":"2026-06-22","cited_by_count":0,"area":null},{"id":"2607.17653","title":"LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation","created":"2026-07-20","cited_by_count":0,"area":null},{"id":"2608.09193","title":"CPDA: Class-Conditional Path Distribution Alignment for Unsupervised Time-Series Domain Adaptation","created":"2026-08-10","cited_by_count":0,"area":null},{"id":"2608.24429","title":"Joint Distribution Alignment for Universal Domain Adaptation","created":"2026-08-25","cited_by_count":0,"area":null},{"id":"2609.13039","title":"Transfer Learning for Evolving Domains","created":"2026-09-11","cited_by_count":0,"area":null}],"next_cursor":null}