{"total":165,"rows":[{"id":"2303.15361","title":"A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts","created":"2023-03-27","cited_by_count":359,"area":null},{"id":"2101.10979","title":"Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation","created":"2021-01-26","cited_by_count":268,"area":null},{"id":"2204.10377","title":"Contrastive Test-Time Adaptation","created":"2022-04-21","cited_by_count":261,"area":null},{"id":"2301.05712","title":"A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends","created":"2023-01-13","cited_by_count":207,"area":null},{"id":"2110.04202","title":"Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation","created":"2021-10-08","cited_by_count":177,"area":null},{"id":"2108.01614","title":"Generalized Source-free Domain Adaptation","created":"2021-08-03","cited_by_count":175,"area":null},{"id":"2102.03526","title":"Open-World Semi-Supervised Learning","created":"2021-02-06","cited_by_count":165,"area":null},{"id":"2106.15326","title":"Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation","created":"2021-06-18","cited_by_count":111,"area":null},{"id":"2306.01293","title":"LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning","created":"2023-06-02","cited_by_count":107,"area":null},{"id":"2403.07366","title":"Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors","created":"2024-03-12","cited_by_count":106,"area":null},{"id":"2204.11257","title":"Source-Free Domain Adaptation via Distribution Estimation","created":"2022-04-24","cited_by_count":97,"area":null},{"id":"2205.04183","title":"Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation","created":"2022-05-09","cited_by_count":94,"area":null},{"id":"2104.03344","title":"OVANet: One-vs-All Network for Universal Domain Adaptation","created":"2021-04-07","cited_by_count":92,"area":null},{"id":"2104.13613","title":"Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation","created":"2021-04-28","cited_by_count":80,"area":null},{"id":"2301.00265","title":"Source-Free Unsupervised Domain Adaptation: A Survey","created":"2022-12-31","cited_by_count":80,"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":"2303.03770","title":"Guiding Pseudo-labels with Uncertainty Estimation for Source-free Unsupervised Domain Adaptation","created":"2023-03-07","cited_by_count":65,"area":null},{"id":"2310.10074","title":"SoTTA: Robust Test-Time Adaptation on Noisy Data Streams","created":"2023-10-16","cited_by_count":63,"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":"2302.03133","title":"Domain Adaptation for Time Series Under Feature and Label Shifts","created":"2023-02-06","cited_by_count":60,"area":null},{"id":"2210.17067","title":"Unified Optimal Transport Framework for Universal Domain Adaptation","created":"2022-10-31","cited_by_count":57,"area":null},{"id":"2306.09158","title":"Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection","created":"2023-06-15","cited_by_count":57,"area":null},{"id":"2211.06612","title":"Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning","created":"2022-11-12","cited_by_count":53,"area":null},{"id":"2208.11296","title":"Semi-Supervised and Unsupervised Deep Visual Learning: A Survey","created":"2022-08-24","cited_by_count":52,"area":null},{"id":"2104.01539","title":"DINE: Domain Adaptation from Single and Multiple Black-box Predictors","created":"2021-04-04","cited_by_count":51,"area":null},{"id":"2208.07591","title":"Uncertainty-guided Source-free Domain Adaptation","created":"2022-08-16","cited_by_count":46,"area":null},{"id":"2108.10860","title":"Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density","created":"2021-08-24","cited_by_count":44,"area":null},{"id":"2207.03162","title":"Harnessing Out-Of-Distribution Examples via Augmenting Content and Style","created":"2022-07-07","cited_by_count":43,"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":"2111.02625","title":"Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples","created":"2021-11-04","cited_by_count":40,"area":null},{"id":"2112.02300","title":"Unsupervised Domain Generalization by Learning a Bridge Across Domains","created":"2021-12-04","cited_by_count":33,"area":null},{"id":"2207.10856","title":"Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation","created":"2022-07-22","cited_by_count":33,"area":null},{"id":"2207.13048","title":"Domain Adaptation under Open Set Label Shift","created":"2022-07-26","cited_by_count":32,"area":null},{"id":"2303.07110","title":"Upcycling Models under Domain and Category Shift","created":"2023-03-13","cited_by_count":29,"area":null},{"id":"2304.11928","title":"Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving","created":"2023-04-24","cited_by_count":29,"area":null},{"id":"2305.00350","title":"POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models","created":"2023-04-29","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":"2203.04559","title":"Source-free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition","created":"2022-03-09","cited_by_count":28,"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":"2112.08553","title":"UMAD: Universal Model Adaptation under Domain and Category Shift","created":"2021-12-16","cited_by_count":23,"area":null},{"id":"2501.18592","title":"Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models","created":"2025-01-30","cited_by_count":23,"area":null},{"id":"2310.17594","title":"SPA: A Graph Spectral Alignment Perspective for Domain Adaptation","created":"2023-10-26","cited_by_count":22,"area":null},{"id":"2203.01583","title":"Towards Universal Backward-Compatible Representation Learning","created":"2022-03-03","cited_by_count":21,"area":null},{"id":"2206.07551","title":"Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation","created":"2022-06-15","cited_by_count":21,"area":null},{"id":"2207.13247","title":"Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation","created":"2022-07-27","cited_by_count":21,"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":"2101.12727","title":"Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency","created":"2021-01-29","cited_by_count":19,"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":"2205.14467","title":"Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors","created":"2022-05-28","cited_by_count":19,"area":null},{"id":"2403.10834","title":"SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation","created":"2024-03-16","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":"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":"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":"2207.12389","title":"MemSAC: Memory Augmented Sample Consistency for Large Scale Unsupervised Domain Adaptation","created":"2022-07-25","cited_by_count":15,"area":null},{"id":"2304.11862","title":"Universal Domain Adaptation via Compressive Attention Matching","created":"2023-04-24","cited_by_count":15,"area":null},{"id":"2202.14030","title":"Learning Semantic Segmentation from Multiple Datasets with Label Shifts","created":"2022-02-28","cited_by_count":14,"area":null},{"id":"2207.12258","title":"Equivariance and Invariance Inductive Bias for Learning from Insufficient Data","created":"2022-07-25","cited_by_count":14,"area":null},{"id":"2303.08557","title":"Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey","created":"2023-03-15","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":"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":"2104.00246","title":"Divergence Optimization for Noisy Universal Domain Adaptation","created":"2021-04-01","cited_by_count":13,"area":null},{"id":"2301.11387","title":"Universal Domain Adaptation for Remote Sensing Image Scene Classification","created":"2023-01-26","cited_by_count":13,"area":null},{"id":"2106.01656","title":"Generalized Domain Adaptation","created":"2021-06-03","cited_by_count":10,"area":null},{"id":"2107.02067","title":"Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation","created":"2021-07-05","cited_by_count":10,"area":null},{"id":"2112.14299","title":"DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification","created":"2021-12-28","cited_by_count":10,"area":null},{"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":"2108.09178","title":"Self-Rule to Multi-Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection","created":"2021-08-20","cited_by_count":9,"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":"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":"2304.06136","title":"AGI for Agriculture","created":"2023-04-12","cited_by_count":9,"area":null},{"id":"2309.00528","title":"Trust your Good Friends: Source-free Domain Adaptation by Reciprocal Neighborhood Clustering","created":"2023-09-01","cited_by_count":9,"area":null},{"id":"2310.04724","title":"Activate and Reject: Towards Safe Domain Generalization under Category Shift","created":"2023-10-07","cited_by_count":9,"area":null},{"id":"2401.11448","title":"Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation","created":"2024-01-21","cited_by_count":9,"area":null},{"id":"2104.08801","title":"Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval","created":"2021-04-18","cited_by_count":8,"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":"2302.02005","title":"DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection","created":"2023-02-03","cited_by_count":8,"area":null},{"id":"2309.16127","title":"Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation","created":"2023-09-28","cited_by_count":8,"area":null},{"id":"2407.18899","title":"Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence","created":"2024-07-26","cited_by_count":8,"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":"2311.01420","title":"Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data","created":"2023-11-02","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":"2304.00792","title":"Few-shot Fine-tuning is All You Need for Source-free Domain Adaptation","created":"2023-04-03","cited_by_count":6,"area":null},{"id":"2305.14986","title":"Non-adversarial Robustness of Deep Learning Methods for Computer Vision","created":"2023-05-24","cited_by_count":6,"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":"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":"2207.07826","title":"Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations","created":"2022-07-16","cited_by_count":5,"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":"2306.05528","title":"A brief review of contrastive learning applied to astrophysics","created":"2023-06-08","cited_by_count":5,"area":null},{"id":"2310.10008","title":"Towards Unified and Effective Domain Generalization","created":"2023-10-16","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":"2312.03767","title":"Unknown Sample Discovery for Source Free Open Set Domain Adaptation","created":"2023-12-05","cited_by_count":5,"area":null},{"id":"2409.00397","title":"COSMo: CLIP Talks on Open-Set Multi-Target Domain Adaptation","created":"2024-08-31","cited_by_count":5,"area":null},{"id":"2104.04665","title":"On Universal Black-Box Domain Adaptation","created":"2021-04-10","cited_by_count":4,"area":null},{"id":"2211.00677","title":"Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection","created":"2022-11-01","cited_by_count":4,"area":null}],"next_cursor":"100"}