{"total":31,"rows":[{"id":"2301.05792","title":"RMM: Reinforced Memory Management for Class-Incremental Learning","created":"2023-01-14","cited_by_count":66,"area":null},{"id":"2103.13558","title":"Efficient Feature Transformations for Discriminative and Generative Continual Learning","created":"2021-03-25","cited_by_count":50,"area":null},{"id":"2202.00275","title":"Architecture Matters in Continual Learning","created":"2022-02-01","cited_by_count":46,"area":null},{"id":"2410.05352","title":"Recent Advances of Multimodal Continual Learning: A Comprehensive Survey","created":"2024-10-07","cited_by_count":39,"area":null},{"id":"2108.12641","title":"Prototype-Guided Memory Replay for Continual Learning","created":"2021-08-28","cited_by_count":19,"area":null},{"id":"2207.11240","title":"Discrete Key-Value Bottleneck","created":"2022-07-22","cited_by_count":18,"area":null},{"id":"2308.02346","title":"Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning","created":"2023-08-04","cited_by_count":18,"area":null},{"id":"2308.04749","title":"Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks","created":"2023-08-09","cited_by_count":10,"area":null},{"id":"2107.00254","title":"AdaXpert: Adapting Neural Architecture for Growing Data","created":"2021-07-01","cited_by_count":9,"area":null},{"id":"2404.00983","title":"Continual Learning for Smart City: A Survey","created":"2024-04-01","cited_by_count":9,"area":null},{"id":"2309.09550","title":"Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks","created":"2023-09-18","cited_by_count":7,"area":null},{"id":"2306.09675","title":"Multi-View Class Incremental Learning","created":"2023-06-16","cited_by_count":5,"area":null},{"id":"2104.02206","title":"Tuned Compositional Feature Replays for Efficient Stream Learning","created":"2021-04-06","cited_by_count":4,"area":null},{"id":"2206.05625","title":"Exploring the Intersection between Neural Architecture Search and Continual Learning","created":"2022-06-11","cited_by_count":4,"area":null},{"id":"2403.18266","title":"Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning","created":"2024-03-27","cited_by_count":4,"area":null},{"id":"2302.10718","title":"Effects of Architectures on Continual Semantic Segmentation","created":"2023-02-21","cited_by_count":3,"area":null},{"id":"2306.10480","title":"IF2Net: Innately Forgetting-Free Networks for Continual Learning","created":"2023-06-18","cited_by_count":3,"area":null},{"id":"2312.01188","title":"Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning","created":"2023-12-02","cited_by_count":3,"area":null},{"id":"2101.09225","title":"Continual Learning of Generative Models with Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence","created":"2021-01-22","cited_by_count":2,"area":null},{"id":"2309.15038","title":"HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning","created":"2023-09-26","cited_by_count":2,"area":null},{"id":"2405.09133","title":"Overcoming Domain Drift in Online Continual Learning","created":"2024-05-15","cited_by_count":2,"area":null},{"id":"2311.11963","title":"What Can AutoML Do For Continual Learning?","created":"2023-11-20","cited_by_count":1,"area":null},{"id":"2408.14976","title":"Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learning","created":"2024-08-27","cited_by_count":1,"area":null},{"id":"2411.05802","title":"Similarity-based context aware continual learning for spiking neural networks","created":"2024-10-28","cited_by_count":1,"area":null},{"id":"2505.10457","title":"SEAL: Searching Expandable Architectures for Incremental Learning","created":"2025-05-15","cited_by_count":1,"area":null},{"id":"2606.03471","title":"A formal definition and meta-model for a machine theory of mind","created":"2026-06-02","cited_by_count":1,"area":null},{"id":"2209.06932","title":"Optimizing Connectivity through Network Gradients for Restricted Boltzmann Machines","created":"2022-09-14","cited_by_count":0,"area":null},{"id":"2507.09213","title":"Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications","created":"2025-07-12","cited_by_count":0,"area":null},{"id":"2512.01258","title":"Efficient Hyperparameter Search for Non-Stationary Model Training","created":"2025-12-01","cited_by_count":0,"area":null},{"id":"2602.20791","title":"Understanding the Role of Rehearsal Scale in Continual Learning under Varying Model Capacities","created":"2026-02-24","cited_by_count":0,"area":null},{"id":"2605.04103","title":"HERCULES: Hardware-Efficient, Robust, Continual Learning Neural Architecture Search","created":"2026-05-03","cited_by_count":0,"area":null}],"next_cursor":null}