{"total":43,"rows":[{"id":"2103.14010","title":"Self-Supervised Training Enhances Online Continual Learning","created":"2021-03-25","cited_by_count":54,"area":null},{"id":"2108.01958","title":"Learning Compatible Embeddings","created":"2021-08-04","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":"2112.06745","title":"A Survey of Unsupervised Domain Adaptation for Visual Recognition","created":"2021-12-13","cited_by_count":31,"area":null},{"id":"2107.04932","title":"Aligning Correlation Information for Domain Adaptation in Action Recognition","created":"2021-07-11","cited_by_count":30,"area":null},{"id":"2107.04941","title":"Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network","created":"2021-07-11","cited_by_count":17,"area":null},{"id":"2306.06510","title":"Partial Identifiability for Domain Adaptation","created":"2023-06-10","cited_by_count":14,"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":"2203.04156","title":"Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation","created":"2022-03-08","cited_by_count":8,"area":null},{"id":"2202.04861","title":"Consistency and Diversity induced Human Motion Segmentation","created":"2022-02-10","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":"2303.05269","title":"Effective Pseudo-Labeling based on Heatmap for Unsupervised Domain Adaptation in Cell Detection","created":"2023-03-09","cited_by_count":7,"area":null},{"id":"2210.08170","title":"Attention Regularized Laplace Graph for Domain Adaptation","created":"2022-10-15","cited_by_count":5,"area":null},{"id":"2101.04563","title":"Discriminative Noise Robust Sparse Orthogonal Label Regression-based Domain Adaptation","created":"2021-01-09","cited_by_count":4,"area":null},{"id":"2205.04641","title":"On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models","created":"2022-05-10","cited_by_count":4,"area":null},{"id":"2210.15136","title":"3D Shape Knowledge Graph for Cross-domain 3D Shape Retrieval","created":"2022-10-27","cited_by_count":4,"area":null},{"id":"2103.02808","title":"Unsupervised Domain Adaptation for Image Classification via Structure-Conditioned Adversarial Learning","created":"2021-03-04","cited_by_count":3,"area":null},{"id":"2109.01377","title":"A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms","created":"2021-09-03","cited_by_count":3,"area":null},{"id":"2111.02207","title":"Deep Least Squares Alignment for Unsupervised Domain Adaptation","created":"2021-11-03","cited_by_count":3,"area":null},{"id":"2207.00003","title":"A Multi-stage Framework with Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation","created":"2022-06-24","cited_by_count":3,"area":null},{"id":"2404.15615","title":"M3D: Manifold-based Domain Adaptation with Dynamic Distribution for Non-Deep Transfer Learning in Cross-subject and Cross-session EEG-based Emotion Recognition","created":"2024-04-24","cited_by_count":3,"area":null},{"id":"2105.03682","title":"Enhancing ensemble learning and transfer learning in multimodal data analysis by adaptive dimensionality reduction","created":"2021-05-08","cited_by_count":2,"area":null},{"id":"2210.16894","title":"Distributionally Robust Domain Adaptation","created":"2022-10-30","cited_by_count":2,"area":null},{"id":"2506.15971","title":"Heterogeneous-Modal Unsupervised Domain Adaptation via Latent Space Bridging","created":"2025-06-19","cited_by_count":2,"area":null},{"id":"2601.07333","title":"OSCAR: Open-Set CAD Retrieval from a Language Prompt and a Single Image","created":"2026-01-12","cited_by_count":2,"area":null},{"id":"2101.09979","title":"A Unified Joint Maximum Mean Discrepancy for Domain Adaptation","created":"2021-01-25","cited_by_count":1,"area":null},{"id":"2105.08994","title":"Efficient Transfer Learning via Joint Adaptation of Network Architecture and Weight","created":"2021-05-19","cited_by_count":1,"area":null},{"id":"2106.15057","title":"Cross-domain error minimization for unsupervised domain adaptation","created":"2021-06-29","cited_by_count":1,"area":null},{"id":"2205.13957","title":"Cycle Label-Consistent Networks for Unsupervised Domain Adaptation","created":"2022-05-27","cited_by_count":1,"area":null},{"id":"2209.10425","title":"Consecutive Knowledge Meta-Adaptation Learning for Unsupervised Medical Diagnosis","created":"2022-09-21","cited_by_count":1,"area":null},{"id":"2210.14083","title":"On Fine-Tuned Deep Features for Unsupervised Domain Adaptation","created":"2022-10-25","cited_by_count":1,"area":null},{"id":"2502.06272","title":"Beyond Batch Learning: Global Awareness Enhanced Domain Adaptation","created":"2025-02-10","cited_by_count":1,"area":null},{"id":"2109.02990","title":"Grassmannian Graph-attentional Landmark Selection for Domain Adaptation","created":"2021-09-07","cited_by_count":0,"area":null},{"id":"2204.05596","title":"On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation","created":"2022-04-12","cited_by_count":0,"area":null},{"id":"2211.09064","title":"Renewing Iterative Self-labeling Domain Adaptation with Application to the Spine Motion Prediction","created":"2022-11-14","cited_by_count":0,"area":null},{"id":"2308.14983","title":"Constructive Incremental Learning for Fault Diagnosis of Rolling Bearings with Ensemble Domain Adaptation","created":"2023-08-29","cited_by_count":0,"area":null},{"id":"2310.16100","title":"Deep Feature Registration for Unsupervised Domain Adaptation","created":"2023-10-24","cited_by_count":0,"area":null},{"id":"2406.14274","title":"Learning to Discover Knowledge: A Weakly-Supervised Partial Domain Adaptation Approach","created":"2024-06-20","cited_by_count":0,"area":null},{"id":"2407.06485","title":"CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community","created":"2024-07-09","cited_by_count":0,"area":null},{"id":"2502.06498","title":"Decision Boundary Optimization-Informed Domain Adaptation","created":"2025-02-10","cited_by_count":0,"area":null},{"id":"2506.17137","title":"Towards Conditional Feature Alignment for Cross-Domain Counting","created":"2025-06-20","cited_by_count":0,"area":null},{"id":"2601.20284","title":"A Source-Free Approach for Domain Adaptation via Multiview Image Transformation and Latent Space Consistency","created":"2026-01-28","cited_by_count":0,"area":null},{"id":"2603.22621","title":"Transfer learning via interpolating structures","created":"2026-03-23","cited_by_count":0,"area":null}],"next_cursor":null}