{"total":49,"rows":[{"id":"2107.05446","title":"Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration","created":"2021-07-12","cited_by_count":50,"area":null},{"id":"2304.08130","title":"A Survey on Few-Shot Class-Incremental Learning","created":"2023-04-17","cited_by_count":48,"area":null},{"id":"2502.19316","title":"Model Adaptation: Unsupervised Domain Adaptation without Source Data","created":"2025-02-26","cited_by_count":34,"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":"2106.09913","title":"Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments","created":"2021-06-18","cited_by_count":30,"area":null},{"id":"2110.07581","title":"Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations","created":"2021-10-14","cited_by_count":27,"area":null},{"id":"2103.03781","title":"Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation","created":"2021-03-05","cited_by_count":24,"area":null},{"id":"2203.09034","title":"GATE: Graph CCA for Temporal SElf-supervised Learning for Label-efficient fMRI Analysis","created":"2022-03-17","cited_by_count":19,"area":null},{"id":"2205.06549","title":"Unsupervised Structure-Texture Separation Network for Oracle Character Recognition","created":"2022-05-13","cited_by_count":15,"area":null},{"id":"2103.04032","title":"CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks","created":"2021-03-06","cited_by_count":12,"area":null},{"id":"2106.06410","title":"What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data","created":"2021-06-11","cited_by_count":10,"area":null},{"id":"2108.01819","title":"Transfer Learning for Pose Estimation of Illustrated Characters","created":"2021-08-04","cited_by_count":10,"area":null},{"id":"2203.07375","title":"From Big to Small: Adaptive Learning to Partial-Set Domains","created":"2022-03-14","cited_by_count":9,"area":null},{"id":"2306.15742","title":"Differentially Private Video Activity Recognition","created":"2023-06-27","cited_by_count":9,"area":null},{"id":"2110.02399","title":"Task Affinity with Maximum Bipartite Matching in Few-Shot Learning","created":"2021-10-05","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":"2103.12827","title":"Fisher Task Distance and Its Application in Neural Architecture Search","created":"2021-03-23","cited_by_count":7,"area":null},{"id":"2208.02804","title":"Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint Labels","created":"2022-08-04","cited_by_count":7,"area":null},{"id":"2307.14709","title":"Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation","created":"2023-07-27","cited_by_count":7,"area":null},{"id":"2503.16997","title":"Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation","created":"2025-03-21","cited_by_count":7,"area":null},{"id":"2112.02763","title":"MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few Samples","created":"2021-12-06","cited_by_count":6,"area":null},{"id":"2205.07874","title":"How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation","created":"2022-05-13","cited_by_count":6,"area":null},{"id":"2103.02546","title":"Multi-task Learning by Leveraging the Semantic Information","created":"2021-03-03","cited_by_count":5,"area":null},{"id":"2201.06781","title":"When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework","created":"2022-01-18","cited_by_count":5,"area":null},{"id":"2206.13123","title":"Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification","created":"2022-06-27","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":"2109.01302","title":"Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object Localization and Task-Decomposition","created":"2021-09-03","cited_by_count":4,"area":null},{"id":"2201.11231","title":"Gap Minimization for Knowledge Sharing and Transfer","created":"2022-01-26","cited_by_count":4,"area":null},{"id":"2206.03695","title":"Metric Based Few-Shot Graph Classification","created":"2022-06-08","cited_by_count":4,"area":null},{"id":"2302.01798","title":"Interpretations of Domain Adaptations via Layer Variational Analysis","created":"2023-02-03","cited_by_count":4,"area":null},{"id":"2504.08368","title":"FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations","created":"2025-04-11","cited_by_count":4,"area":null},{"id":"2103.00241","title":"Improved Automated Machine Learning from Transfer Learning","created":"2021-02-27","cited_by_count":3,"area":null},{"id":"2205.07853","title":"Heterogeneous Domain Adaptation with Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity","created":"2022-05-05","cited_by_count":3,"area":null},{"id":"2312.13484","title":"Bayesian Transfer Learning","created":"2023-12-20","cited_by_count":3,"area":null},{"id":"2509.05019","title":"Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition","created":"2025-09-05","cited_by_count":3,"area":null},{"id":"2102.10955","title":"Learning Purified Feature Representations from Task-irrelevant Labels","created":"2021-02-22","cited_by_count":2,"area":null},{"id":"2305.11400","title":"Mode-Aware Continual Learning for Conditional Generative Adversarial Networks","created":"2023-05-19","cited_by_count":2,"area":null},{"id":"2103.05114","title":"Learning Invariant Representations across Domains and Tasks","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":"2109.08829","title":"Self-Adaptive Partial Domain Adaptation","created":"2021-09-18","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":"2211.14515","title":"Instance-level Heterogeneous Domain Adaptation for Limited-labeled Sketch-to-Photo Retrieval","created":"2022-11-26","cited_by_count":1,"area":null},{"id":"2305.13399","title":"Efficient Large-Scale Visual Representation Learning And Evaluation","created":"2023-05-22","cited_by_count":1,"area":null},{"id":"2206.10593","title":"A Survey on Computational Intelligence-based Transfer Learning","created":"2022-06-17","cited_by_count":0,"area":null},{"id":"2303.16435","title":"Domain Adaptive Semantic Segmentation by Optimal Transport","created":"2023-03-29","cited_by_count":0,"area":null},{"id":"2304.11870","title":"Incorporating Experts' Judgment into Machine Learning Models","created":"2023-04-24","cited_by_count":0,"area":null},{"id":"2409.15893","title":"Unsupervised Attention Regularization Based Domain Adaptation for Oracle Character Recognition","created":"2024-09-24","cited_by_count":0,"area":null},{"id":"2604.06689","title":"Generative Cross-Entropy: A Strictly Proper Loss for Data-Efficient Classification","created":"2026-04-08","cited_by_count":0,"area":null},{"id":"2605.11989","title":"A Transfer Learning Evaluation of Deep Neural Networks for Image Classification","created":"2026-05-12","cited_by_count":0,"area":null}],"next_cursor":null}