{"total":31,"rows":[{"id":"2302.03648","title":"Class-Incremental Learning: A Survey","created":"2023-02-07","cited_by_count":209,"area":null},{"id":"2203.06953","title":"Forward Compatible Few-Shot Class-Incremental Learning","created":"2022-03-14","cited_by_count":127,"area":null},{"id":"2302.03004","title":"Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning","created":"2023-02-06","cited_by_count":116,"area":null},{"id":"2210.04524","title":"Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation","created":"2022-10-10","cited_by_count":45,"area":null},{"id":"2103.15632","title":"Regular Polytope Networks","created":"2021-03-29","cited_by_count":24,"area":null},{"id":"2508.08165","title":"Integrating Task-Specific and Universal Adapters for Pre-Trained Model-based Class-Incremental Learning","created":"2025-08-11","cited_by_count":19,"area":null},{"id":"2111.07632","title":"CoReS: Compatible Representations via Stationarity","created":"2021-11-15","cited_by_count":14,"area":null},{"id":"2308.01746","title":"Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants","created":"2023-08-03","cited_by_count":14,"area":null},{"id":"2310.19272","title":"NPCL: Neural Processes for Uncertainty-Aware Continual Learning","created":"2023-10-30","cited_by_count":14,"area":null},{"id":"2401.09067","title":"Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding","created":"2024-01-17","cited_by_count":10,"area":null},{"id":"2406.09935","title":"Predicting the Susceptibility of Examples to Catastrophic Forgetting","created":"2024-06-14","cited_by_count":7,"area":null},{"id":"2211.09032","title":"CL2R: Compatible Lifelong Learning Representations","created":"2022-11-16","cited_by_count":6,"area":null},{"id":"2301.03345","title":"Latent Spectral Regularization for Continual Learning","created":"2023-01-09","cited_by_count":6,"area":null},{"id":"2306.03364","title":"Learning Representations on the Unit Sphere: Investigating Angular Gaussian and von Mises-Fisher Distributions for Online Continual Learning","created":"2023-06-06","cited_by_count":5,"area":null},{"id":"2110.05848","title":"Fine-Grained Adversarial Semi-supervised Learning","created":"2021-10-12","cited_by_count":4,"area":null},{"id":"2310.09449","title":"Pairwise Similarity Learning is SimPLE","created":"2023-10-13","cited_by_count":4,"area":null},{"id":"2401.08623","title":"Wake-Sleep Consolidated Learning","created":"2023-12-06","cited_by_count":4,"area":null},{"id":"2404.03200","title":"Future-Proofing Class-Incremental Learning","created":"2024-04-04","cited_by_count":4,"area":null},{"id":"2205.05476","title":"Contrastive Supervised Distillation for Continual Representation Learning","created":"2022-05-11","cited_by_count":3,"area":null},{"id":"2508.05316","title":"Divide-and-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-supervised Continual Learning","created":"2025-08-07","cited_by_count":3,"area":null},{"id":"2304.05362","title":"MASIL: Towards Maximum Separable Class Representation for Few Shot Class Incremental Learning","created":"2023-04-08","cited_by_count":2,"area":null},{"id":"2310.20268","title":"Constructing Sample-to-Class Graph for Few-Shot Class-Incremental Learning","created":"2023-10-31","cited_by_count":2,"area":null},{"id":"2402.01262","title":"Class incremental learning with probability dampening and cascaded gated classifier","created":"2024-02-02","cited_by_count":1,"area":null},{"id":"2606.12488","title":"A Stationary (and Therefore Compatible) Representation is All You Need","created":"2026-06-10","cited_by_count":1,"area":null},{"id":"2103.11112","title":"Classifier Crafting: Turn Your ConvNet into a Zero-Shot Learner!","created":"2021-03-20","cited_by_count":0,"area":null},{"id":"2303.13862","title":"Two-level Graph Network for Few-Shot Class-Incremental Learning","created":"2023-03-24","cited_by_count":0,"area":null},{"id":"2309.14808","title":"Revisiting Softmax Masking: Stop Gradient for Enhancing Stability in Replay-based Continual Learning","created":"2023-09-26","cited_by_count":0,"area":null},{"id":"2504.18059","title":"POET: Prompt Offset Tuning for Continual Human Action Adaptation","created":"2025-04-25","cited_by_count":0,"area":null},{"id":"2509.06570","title":"Evolving from Unknown to Known: Retentive Angular Representation Learning for Incremental Open Set Recognition","created":"2025-09-08","cited_by_count":0,"area":null},{"id":"2601.08493","title":"PKI: Prior Knowledge-Infused Neural Network for Few-Shot Class-Incremental Learning","created":"2026-01-13","cited_by_count":0,"area":null},{"id":"2603.01935","title":"Dream2Learn: Structured Generative Dreaming for Continual Learning","created":"2026-03-02","cited_by_count":0,"area":null}],"next_cursor":null}