{"total":62,"rows":[{"id":"2302.00487","title":"A Comprehensive Survey of Continual Learning: Theory, Method and Application","created":"2023-01-31","cited_by_count":872,"area":null},{"id":"2302.03648","title":"Class-Incremental Learning: A Survey","created":"2023-02-07","cited_by_count":209,"area":null},{"id":"2303.07338","title":"Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need","created":"2023-03-13","cited_by_count":184,"area":null},{"id":"2205.13218","title":"A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning","created":"2022-05-26","cited_by_count":154,"area":null},{"id":"2401.16386","title":"Continual Learning with Pre-Trained Models: A Survey","created":"2024-01-29","cited_by_count":154,"area":null},{"id":"2203.06953","title":"Forward Compatible Few-Shot Class-Incremental Learning","created":"2022-03-14","cited_by_count":127,"area":null},{"id":"2403.12030","title":"Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning","created":"2024-03-18","cited_by_count":117,"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":"2203.17030","title":"Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks","created":"2022-03-31","cited_by_count":88,"area":null},{"id":"2208.00147","title":"Few-Shot Class-Incremental Learning from an Open-Set Perspective","created":"2022-07-30","cited_by_count":84,"area":null},{"id":"2305.19270","title":"Learning without Forgetting for Vision-Language Models","created":"2023-05-30","cited_by_count":79,"area":"mllm"},{"id":"2309.07117","title":"PILOT: A Pre-Trained Model-Based Continual Learning Toolbox","created":"2023-09-13","cited_by_count":64,"area":null},{"id":"2304.00426","title":"Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning","created":"2023-04-02","cited_by_count":55,"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":"2208.05610","title":"Memorizing Complementation Network for Few-Shot Class-Incremental Learning","created":"2022-08-11","cited_by_count":30,"area":null},{"id":"2403.18550","title":"OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning","created":"2024-03-27","cited_by_count":26,"area":null},{"id":"2403.18383","title":"Generative Multi-modal Models are Good Class-Incremental Learners","created":"2024-03-27","cited_by_count":22,"area":null},{"id":"2106.15827","title":"When Video Classification Meets Incremental Classes","created":"2021-06-30","cited_by_count":18,"area":null},{"id":"2410.00911","title":"Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning","created":"2024-10-01","cited_by_count":16,"area":null},{"id":"2308.03374","title":"Heterogeneous Forgetting Compensation for Class-Incremental Learning","created":"2023-08-07","cited_by_count":15,"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":"2503.16707","title":"Cross-Modal and Uncertainty-Aware Agglomeration for Open-Vocabulary 3D Scene Understanding","created":"2025-03-20","cited_by_count":13,"area":"mllm"},{"id":"2507.07100","title":"Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts","created":"2025-07-09","cited_by_count":13,"area":null},{"id":"2401.01598","title":"Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning","created":"2024-01-03","cited_by_count":12,"area":null},{"id":"2410.06645","title":"Continual Learning in the Frequency Domain","created":"2024-10-09","cited_by_count":12,"area":null},{"id":"2407.03813","title":"PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer","created":"2024-07-04","cited_by_count":8,"area":null},{"id":"2407.06136","title":"Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning","created":"2024-07-08","cited_by_count":7,"area":"ssm"},{"id":"2502.20032","title":"Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping","created":"2025-02-27","cited_by_count":7,"area":null},{"id":"2303.15494","title":"Semantic-visual Guided Transformer for Few-shot Class-incremental Learning","created":"2023-03-27","cited_by_count":6,"area":null},{"id":"2308.14286","title":"Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection","created":"2023-08-28","cited_by_count":6,"area":"distill"},{"id":"2504.10976","title":"Adaptive Decision Boundary for Few-Shot Class-Incremental Learning","created":"2025-04-15","cited_by_count":6,"area":null},{"id":"2203.05984","title":"Deep Class Incremental Learning from Decentralized Data","created":"2022-03-11","cited_by_count":4,"area":"distill"},{"id":"2304.05734","title":"Few-shot Class-incremental Learning for Cross-domain Disease Classification","created":"2023-04-12","cited_by_count":4,"area":null},{"id":"2401.07208","title":"Enhanced Few-Shot Class-Incremental Learning via Ensemble Models","created":"2024-01-14","cited_by_count":4,"area":null},{"id":"2502.08181","title":"Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning","created":"2025-02-12","cited_by_count":4,"area":null},{"id":"2403.07851","title":"12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning","created":"2024-03-12","cited_by_count":3,"area":null},{"id":"2405.15451","title":"Self-distilled Dynamic Fusion Network for Language-based Fashion Retrieval","created":"2024-05-24","cited_by_count":3,"area":null},{"id":"2411.06634","title":"Inductive Graph Few-shot Class Incremental Learning","created":"2024-11-11","cited_by_count":3,"area":null},{"id":"2412.06642","title":"Class Balance Matters to Active Class-Incremental Learning","created":"2024-12-09","cited_by_count":3,"area":null},{"id":"2210.06910","title":"CNTN: Cyclic Noise-tolerant Network for Gait Recognition","created":"2022-10-13","cited_by_count":2,"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":"2311.16474","title":"Progressive Classifier and Feature Extractor Adaptation for Unsupervised Domain Adaptation on Point Clouds","created":"2023-11-27","cited_by_count":2,"area":null},{"id":"2403.14392","title":"A Bag of Tricks for Few-Shot Class-Incremental Learning","created":"2024-03-21","cited_by_count":2,"area":null},{"id":"2502.20974","title":"Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data","created":"2025-02-28","cited_by_count":2,"area":null},{"id":"2507.13739","title":"Can Synthetic Images Conquer Forgetting? Beyond Unexplored Doubts in Few-Shot Class-Incremental Learning","created":"2025-07-18","cited_by_count":2,"area":null},{"id":"2508.08612","title":"Hierarchical Visual Prompt Learning for Continual Video Instance Segmentation","created":"2025-08-12","cited_by_count":2,"area":null},{"id":"2207.01036","title":"Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning","created":"2022-07-03","cited_by_count":1,"area":null},{"id":"2212.01461","title":"Learning Disentangled Label Representations for Multi-label Classification","created":"2022-12-02","cited_by_count":1,"area":null},{"id":"2401.14807","title":"PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning","created":"2024-01-26","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":"2405.16625","title":"Consistency-Guided Asynchronous Contrastive Tuning for Few-Shot Class-Incremental Tuning of Foundation Models","created":"2024-05-26","cited_by_count":1,"area":null},{"id":"2501.09361","title":"Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning","created":"2025-01-16","cited_by_count":1,"area":null},{"id":"2501.15998","title":"Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning","created":"2025-01-27","cited_by_count":1,"area":null},{"id":"2502.19816","title":"Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels","created":"2025-02-27","cited_by_count":1,"area":null},{"id":"2503.10003","title":"Does Prior Data Matter? Exploring Joint Training in the Context of Few-Shot Class-Incremental Learning","created":"2025-03-13","cited_by_count":1,"area":null},{"id":"2503.22175","title":"Efficient Continual Learning through Frequency Decomposition and Integration","created":"2025-03-28","cited_by_count":1,"area":null},{"id":"2601.07117","title":"Few-shot Class-Incremental Learning via Generative Co-Memory Regularization","created":"2026-01-12","cited_by_count":1,"area":null},{"id":"2606.15685","title":"Learning New Tasks via Reusable Skills: Skill-Compositional Experts for Embodied Continual Learning","created":"2026-06-14","cited_by_count":1,"area":null},{"id":"2502.18923","title":"Brain-inspired analogical mixture prototypes for few-shot class-incremental learning","created":"2025-02-26","cited_by_count":0,"area":null},{"id":"2510.03648","title":"SAFA-SNN: Sparsity-Aware On-Device Few-Shot Class-Incremental Learning with Fast-Adaptive Structure of Spiking Neural Network","created":"2025-10-04","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":"2610.04003","title":"Selective Backpropagation for Efficient Few-Shot Class-Incremental Learning","created":"2026-10-02","cited_by_count":0,"area":null}],"next_cursor":null}