{"total":32,"rows":[{"id":"2205.06743","title":"A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities","created":"2022-05-13","cited_by_count":163,"area":null},{"id":"2103.16725","title":"SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification","created":"2021-03-30","cited_by_count":68,"area":null},{"id":"2202.02200","title":"Learning with Neighbor Consistency for Noisy Labels","created":"2022-02-04","cited_by_count":55,"area":null},{"id":"2104.05279","title":"Class-Balanced Distillation for Long-Tailed Visual Recognition","created":"2021-04-12","cited_by_count":27,"area":null},{"id":"2108.12296","title":"Contrastive Mixup: Self- and Semi-Supervised learning for Tabular Domain","created":"2021-08-27","cited_by_count":20,"area":null},{"id":"2105.11852","title":"GCNBoost: Artwork Classification by Label Propagation through a Knowledge Graph","created":"2021-05-25","cited_by_count":11,"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":"2110.02529","title":"On the Importance of Firth Bias Reduction in Few-Shot Classification","created":"2021-10-06","cited_by_count":7,"area":null},{"id":"2308.06942","title":"Approximating Human-Like Few-shot Learning with GPT-based Compression","created":"2023-08-14","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":"2405.14294","title":"Tuning-free Universally-Supervised Semantic Segmentation","created":"2024-05-23","cited_by_count":6,"area":null},{"id":"2206.11573","title":"Few-Shot Non-Parametric Learning with Deep Latent Variable Model","created":"2022-06-23","cited_by_count":5,"area":null},{"id":"2101.01480","title":"Local Propagation for Few-Shot Learning","created":"2021-01-05","cited_by_count":4,"area":null},{"id":"2105.02046","title":"Few-shot Partial Multi-view Learning","created":"2021-05-05","cited_by_count":3,"area":null},{"id":"2108.06070","title":"Progressive Representative Labeling for Deep Semi-Supervised Learning","created":"2021-08-13","cited_by_count":3,"area":null},{"id":"2112.02353","title":"Label Hierarchy Transition: Delving into Class Hierarchies to Enhance Deep Classifiers","created":"2021-12-04","cited_by_count":3,"area":null},{"id":"2103.07641","title":"Ensemble Learning with Manifold-Based Data Splitting for Noisy Label Correction","created":"2021-03-13","cited_by_count":2,"area":null},{"id":"2201.10227","title":"Cold Start Active Learning Strategies in the Context of Imbalanced Classification","created":"2022-01-25","cited_by_count":2,"area":null},{"id":"2207.12131","title":"Complementing Semi-Supervised Learning with Uncertainty Quantification","created":"2022-07-22","cited_by_count":1,"area":null},{"id":"2305.14352","title":"An Extensible Multimodal Multi-task Object Dataset with Materials","created":"2023-04-29","cited_by_count":1,"area":null},{"id":"2309.03869","title":"Text-to-feature diffusion for audio-visual few-shot learning","created":"2023-09-07","cited_by_count":1,"area":null},{"id":"2403.11070","title":"Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning","created":"2024-03-17","cited_by_count":1,"area":null},{"id":"2106.00984","title":"Few-Shot Partial-Label Learning","created":"2021-06-02","cited_by_count":0,"area":null},{"id":"2107.05583","title":"Few-shot Learning with Global Relatedness Decoupled-Distillation","created":"2021-07-12","cited_by_count":0,"area":null},{"id":"2107.10504","title":"External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery","created":"2021-07-22","cited_by_count":0,"area":null},{"id":"2205.10571","title":"ADT-SSL: Adaptive Dual-Threshold for Semi-Supervised Learning","created":"2022-05-21","cited_by_count":0,"area":null},{"id":"2211.03199","title":"KGTN-ens: Few-Shot Image Classification with Knowledge Graph Ensembles","created":"2022-11-06","cited_by_count":0,"area":null},{"id":"2301.08413","title":"Chaos to Order: A Label Propagation Perspective on Source-Free Domain Adaptation","created":"2023-01-20","cited_by_count":0,"area":null},{"id":"2412.17547","title":"Probability-density-aware Semi-supervised Learning","created":"2024-12-23","cited_by_count":0,"area":null},{"id":"2501.02476","title":"Noise-Tolerant Hybrid Prototypical Learning with Noisy Web Data","created":"2025-01-05","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":"2607.16363","title":"MTSSL: Meta-Thresholding Semi-Supervised Learning","created":"2026-07-17","cited_by_count":0,"area":null}],"next_cursor":null}