{"total":136,"rows":[{"id":"2212.01322","title":"MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation","created":"2022-12-02","cited_by_count":178,"area":null},{"id":"2202.06687","title":"Domain Adaptation via Prompt Learning","created":"2022-02-14","cited_by_count":128,"area":null},{"id":"2211.07089","title":"PMR: Prototypical Modal Rebalance for Multimodal Learning","created":"2022-11-14","cited_by_count":116,"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":"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":"2306.11867","title":"Personalized Federated Learning with Feature Alignment and Classifier Collaboration","created":"2023-06-20","cited_by_count":97,"area":null},{"id":"2103.14357","title":"VDM-DA: Virtual Domain Modeling for Source Data-free Domain Adaptation","created":"2021-03-26","cited_by_count":69,"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":"2103.12562","title":"Transferable Semantic Augmentation for Domain Adaptation","created":"2021-03-23","cited_by_count":56,"area":null},{"id":"2103.13814","title":"Dynamic Weighted Learning for Unsupervised Domain Adaptation","created":"2021-03-22","cited_by_count":53,"area":null},{"id":"2107.13469","title":"Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate","created":"2021-07-28","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":"2106.14472","title":"Hyperbolic Busemann Learning with Ideal Prototypes","created":"2021-06-28","cited_by_count":41,"area":null},{"id":"2211.15115","title":"Generalized Category Discovery with Decoupled Prototypical Network","created":"2022-11-28","cited_by_count":35,"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":"2112.07517","title":"A Style and Semantic Memory Mechanism for Domain Generalization","created":"2021-12-14","cited_by_count":32,"area":null},{"id":"2104.09136","title":"ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation","created":"2021-04-19","cited_by_count":31,"area":null},{"id":"2108.09169","title":"Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point Clouds","created":"2021-08-20","cited_by_count":31,"area":null},{"id":"2209.07695","title":"Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation","created":"2022-09-16","cited_by_count":31,"area":null},{"id":"2303.07110","title":"Upcycling Models under Domain and Category Shift","created":"2023-03-13","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":"2103.13757","title":"I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors","created":"2021-03-25","cited_by_count":28,"area":null},{"id":"2109.04015","title":"Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation","created":"2021-09-09","cited_by_count":28,"area":null},{"id":"2104.00742","title":"Confidence Calibration for Domain Generalization under Covariate Shift","created":"2021-04-01","cited_by_count":27,"area":null},{"id":"2303.07502","title":"Meta-learning approaches for few-shot learning: A survey of recent advances","created":"2023-03-13","cited_by_count":25,"area":null},{"id":"2103.16291","title":"Leveraging Self-Supervision for Cross-Domain Crowd Counting","created":"2021-03-30","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":"2105.08982","title":"Prototype Guided Federated Learning of Visual Feature Representations","created":"2021-05-19","cited_by_count":22,"area":null},{"id":"2104.01286","title":"Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation","created":"2021-04-03","cited_by_count":21,"area":null},{"id":"2112.04137","title":"Pareto Domain Adaptation","created":"2021-12-08","cited_by_count":20,"area":null},{"id":"2101.00318","title":"Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis","created":"2021-01-01","cited_by_count":18,"area":null},{"id":"2304.14291","title":"EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation","created":"2023-04-27","cited_by_count":17,"area":null},{"id":"2403.01467","title":"Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation","created":"2024-03-03","cited_by_count":15,"area":null},{"id":"2112.07516","title":"Transferrable Contrastive Learning for Visual Domain Adaptation","created":"2021-12-14","cited_by_count":14,"area":null},{"id":"2303.07123","title":"Modality-Agnostic Debiasing for Single Domain Generalization","created":"2023-03-13","cited_by_count":14,"area":null},{"id":"2303.12424","title":"Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning","created":"2023-03-22","cited_by_count":14,"area":null},{"id":"2103.15685","title":"Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation","created":"2021-03-29","cited_by_count":13,"area":null},{"id":"2211.00807","title":"Unsupervised Model Adaptation for Source-free Segmentation of Medical Images","created":"2022-11-02","cited_by_count":13,"area":null},{"id":"2301.10418","title":"DEJA VU: Continual Model Generalization For Unseen Domains","created":"2023-01-25","cited_by_count":13,"area":null},{"id":"2408.16478","title":"MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation","created":"2024-08-29","cited_by_count":13,"area":null},{"id":"2101.00522","title":"Domain Adaptation for the Segmentation of Confidential Medical Images","created":"2021-01-02","cited_by_count":12,"area":null},{"id":"2103.15974","title":"Domain-robust VQA with diverse datasets and methods but no target labels","created":"2021-03-29","cited_by_count":11,"area":null},{"id":"2303.09165","title":"A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation","created":"2023-03-16","cited_by_count":11,"area":null},{"id":"2107.13467","title":"Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation","created":"2021-07-28","cited_by_count":10,"area":null},{"id":"2110.06448","title":"Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment","created":"2021-10-13","cited_by_count":10,"area":null},{"id":"2104.07491","title":"Cross-domain Speech Recognition with Unsupervised Character-level Distribution Matching","created":"2021-04-15","cited_by_count":9,"area":null},{"id":"2209.02203","title":"Few-Shot Document-Level Event Argument Extraction","created":"2022-09-06","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":"2403.16788","title":"HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation","created":"2024-03-25","cited_by_count":9,"area":null},{"id":"2408.00288","title":"Gradient Harmonization in Unsupervised Domain Adaptation","created":"2024-08-01","cited_by_count":9,"area":null},{"id":"2502.09252","title":"On the Importance of Embedding Norms in Self-Supervised Learning","created":"2025-02-13","cited_by_count":9,"area":null},{"id":"2103.01148","title":"E$^2$CM: Early Exit via Class Means for Efficient Supervised and Unsupervised Learning","created":"2021-03-01","cited_by_count":8,"area":null},{"id":"2205.13921","title":"Federated Semi-Supervised Learning with Prototypical Networks","created":"2022-05-27","cited_by_count":8,"area":null},{"id":"2206.01319","title":"Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling","created":"2022-06-02","cited_by_count":8,"area":null},{"id":"2307.09755","title":"Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic Segmentation","created":"2023-07-19","cited_by_count":8,"area":null},{"id":"2104.13057","title":"Graphical Modeling for Multi-Source Domain Adaptation","created":"2021-04-27","cited_by_count":7,"area":null},{"id":"2202.13777","title":"Towards Unsupervised Domain Adaptation via Domain-Transformer","created":"2022-02-24","cited_by_count":7,"area":null},{"id":"2207.12139","title":"Improving Pseudo Labels With Intra-Class Similarity for Unsupervised Domain Adaptation","created":"2022-07-25","cited_by_count":7,"area":null},{"id":"2301.01149","title":"I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation","created":"2023-01-03","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":"2106.08590","title":"Domain Consistency Regularization for Unsupervised Multi-source Domain Adaptive Classification","created":"2021-06-16","cited_by_count":6,"area":null},{"id":"2106.13516","title":"Multi-Domain Active Learning: Literature Review and Comparative Study","created":"2021-06-25","cited_by_count":6,"area":null},{"id":"2110.12812","title":"Domain Adaptation in Multi-View Embedding for Cross-Modal Video Retrieval","created":"2021-10-25","cited_by_count":6,"area":null},{"id":"2111.12358","title":"SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive Learning","created":"2021-11-24","cited_by_count":6,"area":null},{"id":"2310.15741","title":"Interpretable Medical Image Classification using Prototype Learning and Privileged Information","created":"2023-10-24","cited_by_count":6,"area":null},{"id":"2106.13551","title":"Circumpapillary OCT-Focused Hybrid Learning for Glaucoma Grading Using Tailored Prototypical Neural Networks","created":"2021-06-25","cited_by_count":5,"area":null},{"id":"2301.11145","title":"Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentation","created":"2023-01-26","cited_by_count":5,"area":null},{"id":"2302.11984","title":"Unsupervised Domain Adaptation via Distilled Discriminative Clustering","created":"2023-02-23","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":"2312.06075","title":"Oracle Character Recognition using Unsupervised Discriminative Consistency Network","created":"2023-12-11","cited_by_count":5,"area":null},{"id":"2201.07317","title":"A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis","created":"2022-01-18","cited_by_count":4,"area":null},{"id":"2202.02802","title":"Low-confidence Samples Matter for Domain Adaptation","created":"2022-02-06","cited_by_count":4,"area":null},{"id":"2202.13310","title":"Attention-based Cross-Layer Domain Alignment for Unsupervised Domain Adaptation","created":"2022-02-27","cited_by_count":4,"area":null},{"id":"2303.10482","title":"Divide and Conquer: Answering Questions with Object Factorization and Compositional Reasoning","created":"2023-03-18","cited_by_count":4,"area":null},{"id":"2308.03040","title":"Learning Fine-Grained Features for Pixel-wise Video Correspondences","created":"2023-08-06","cited_by_count":4,"area":null},{"id":"2310.08071","title":"Learning Transferable Conceptual Prototypes for Interpretable Unsupervised Domain Adaptation","created":"2023-10-12","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":"2412.17284","title":"Towards Unsupervised Model Selection for Domain Adaptive Object Detection","created":"2024-12-23","cited_by_count":4,"area":null},{"id":"2103.03460","title":"Vicinal and categorical domain adaptation","created":"2021-03-05","cited_by_count":3,"area":null},{"id":"2110.15520","title":"On Label Shift in Domain Adaptation via Wasserstein Distance","created":"2021-10-29","cited_by_count":3,"area":null},{"id":"2301.00383","title":"Discriminative Radial Domain Adaptation","created":"2023-01-01","cited_by_count":3,"area":null},{"id":"2302.01516","title":"Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation","created":"2023-02-03","cited_by_count":3,"area":null},{"id":"2511.11009","title":"Unsupervised Robust Domain Adaptation: Paradigm, Theory and Algorithm","created":"2025-11-14","cited_by_count":3,"area":null},{"id":"2202.10000","title":"Domain-Augmented Domain Adaptation","created":"2022-02-21","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":"2205.13579","title":"CA-UDA: Class-Aware Unsupervised Domain Adaptation with Optimal Assignment and Pseudo-Label Refinement","created":"2022-05-26","cited_by_count":2,"area":null},{"id":"2208.06087","title":"Domain-invariant Prototypes for Semantic Segmentation","created":"2022-08-12","cited_by_count":2,"area":null},{"id":"2208.07754","title":"Subtype-Aware Dynamic Unsupervised Domain Adaptation","created":"2022-08-16","cited_by_count":2,"area":null},{"id":"2209.09943","title":"Adversarial Bi-Regressor Network for Domain Adaptive Regression","created":"2022-09-20","cited_by_count":2,"area":null},{"id":"2211.05319","title":"Few-shot Classification with Hypersphere Modeling of Prototypes","created":"2022-11-10","cited_by_count":2,"area":null},{"id":"2211.08249","title":"Explaining Cross-Domain Recognition with Interpretable Deep Classifier","created":"2022-11-15","cited_by_count":2,"area":null},{"id":"2308.00956","title":"Curriculum Guided Domain Adaptation in the Dark","created":"2023-08-02","cited_by_count":2,"area":null},{"id":"2311.10339","title":"A2XP: Towards Private Domain Generalization","created":"2023-11-17","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":"2403.12883","title":"Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments","created":"2024-03-19","cited_by_count":2,"area":null},{"id":"2407.15383","title":"Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data","created":"2024-07-22","cited_by_count":2,"area":null},{"id":"2103.02220","title":"Unsupervised Domain Adaptation Network with Category-Centric Prototype Aligner for Biomedical Image Segmentation","created":"2021-03-03","cited_by_count":1,"area":null},{"id":"2105.03151","title":"More Separable and Easier to Segment: A Cluster Alignment Method for Cross-Domain Semantic Segmentation","created":"2021-05-07","cited_by_count":1,"area":null},{"id":"2108.01807","title":"On the Robustness of Domain Adaption to Adversarial Attacks","created":"2021-08-04","cited_by_count":1,"area":null}],"next_cursor":"100"}