{"total":121,"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":"2207.12819","title":"S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning","created":"2022-07-26","cited_by_count":246,"area":null},{"id":"2410.02355","title":"AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models","created":"2024-10-03","cited_by_count":236,"area":null},{"id":"2302.03648","title":"Class-Incremental Learning: A Survey","created":"2023-02-07","cited_by_count":209,"area":null},{"id":"2211.12701","title":"Continual Learning of Natural Language Processing Tasks: A Survey","created":"2022-11-23","cited_by_count":83,"area":null},{"id":"2109.11369","title":"Recent Advances of Continual Learning in Computer Vision: An Overview","created":"2021-09-23","cited_by_count":55,"area":null},{"id":"2112.04731","title":"Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning","created":"2021-12-09","cited_by_count":49,"area":null},{"id":"2205.05467","title":"A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials","created":"2022-05-11","cited_by_count":45,"area":null},{"id":"2303.12696","title":"Dense Network Expansion for Class Incremental Learning","created":"2023-03-22","cited_by_count":45,"area":null},{"id":"2303.16181","title":"Learning Federated Visual Prompt in Null Space for MRI Reconstruction","created":"2023-03-28","cited_by_count":40,"area":null},{"id":"2305.00316","title":"The Ideal Continual Learner: An Agent That Never Forgets","created":"2023-04-29","cited_by_count":35,"area":null},{"id":"2110.07905","title":"Towards Better Plasticity-Stability Trade-off in Incremental Learning: A Simple Linear Connector","created":"2021-10-15","cited_by_count":34,"area":null},{"id":"2302.01386","title":"Continual Learning with Scaled Gradient Projection","created":"2023-02-02","cited_by_count":34,"area":null},{"id":"2406.05658","title":"Visual Prompt Tuning in Null Space for Continual Learning","created":"2024-06-09","cited_by_count":31,"area":null},{"id":"2207.12061","title":"Balancing Stability and Plasticity through Advanced Null Space in Continual Learning","created":"2022-07-25","cited_by_count":30,"area":null},{"id":"2204.13349","title":"Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor","created":"2022-04-28","cited_by_count":27,"area":null},{"id":"2302.14307","title":"GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting","created":"2023-02-28","cited_by_count":27,"area":null},{"id":"2407.05229","title":"HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning","created":"2024-07-07","cited_by_count":20,"area":null},{"id":"2503.14963","title":"Continual Multimodal Contrastive Learning","created":"2025-03-19","cited_by_count":20,"area":null},{"id":"2203.06514","title":"Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations","created":"2022-03-12","cited_by_count":19,"area":null},{"id":"2503.18985","title":"LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning","created":"2025-03-23","cited_by_count":18,"area":null},{"id":"2502.02797","title":"Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting","created":"2025-02-05","cited_by_count":16,"area":null},{"id":"2208.03767","title":"Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer","created":"2022-08-07","cited_by_count":15,"area":null},{"id":"2304.03931","title":"Exploring Data Geometry for Continual Learning","created":"2023-04-08","cited_by_count":15,"area":null},{"id":"2403.07292","title":"Continual All-in-One Adverse Weather Removal with Knowledge Replay on a Unified Network Structure","created":"2024-03-12","cited_by_count":13,"area":null},{"id":"2505.15424","title":"Gated Integration of Low-Rank Adaptation for Continual Learning of Large Language Models","created":"2025-05-21","cited_by_count":13,"area":null},{"id":"2207.10131","title":"Continual Variational Autoencoder Learning via Online Cooperative Memorization","created":"2022-07-20","cited_by_count":12,"area":null},{"id":"2210.05398","title":"Continual Learning by Modeling Intra-Class Variation","created":"2022-10-11","cited_by_count":12,"area":null},{"id":"2507.02503","title":"Continual Gradient Low-Rank Projection Fine-Tuning for LLMs","created":"2025-07-03","cited_by_count":11,"area":null},{"id":"2308.01698","title":"Balanced Destruction-Reconstruction Dynamics for Memory-replay Class Incremental Learning","created":"2023-08-03","cited_by_count":10,"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":"2111.14806","title":"Coarse-To-Fine Incremental Few-Shot Learning","created":"2021-11-24","cited_by_count":9,"area":null},{"id":"2211.07725","title":"Hierarchically Structured Task-Agnostic Continual Learning","created":"2022-11-14","cited_by_count":9,"area":null},{"id":"2311.11995","title":"BrainWash: A Poisoning Attack to Forget in Continual Learning","created":"2023-11-20","cited_by_count":9,"area":null},{"id":"2409.18860","title":"LW2G: Learning Whether to Grow for Prompt-based Continual Learning","created":"2024-09-27","cited_by_count":9,"area":null},{"id":"2504.02666","title":"BECAME: BayEsian Continual Learning with Adaptive Model MErging","created":"2025-04-03","cited_by_count":9,"area":null},{"id":"2505.11816","title":"Continuous Subspace Optimization for Continual Learning","created":"2025-05-17","cited_by_count":9,"area":null},{"id":"2603.00191","title":"Task-Driven Subspace Decomposition for Knowledge Sharing and Isolation in LoRA-based Continual Learning","created":"2026-02-27","cited_by_count":9,"area":null},{"id":"2207.09074","title":"Incremental Task Learning with Incremental Rank Updates","created":"2022-07-19","cited_by_count":8,"area":null},{"id":"2310.13024","title":"Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompt","created":"2023-10-19","cited_by_count":8,"area":null},{"id":"2407.14029","title":"PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning","created":"2024-07-19","cited_by_count":8,"area":null},{"id":"2410.09218","title":"Continual Learning with Neuromorphic Computing: Foundations, Methods, and Emerging Applications","created":"2024-10-11","cited_by_count":8,"area":null},{"id":"2502.07560","title":"Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning","created":"2025-02-11","cited_by_count":8,"area":null},{"id":"2509.21413","title":"Null-Space Filtering for Data-Free Continual Model Merging: Preserving Stability, Promoting Plasticity","created":"2025-09-25","cited_by_count":8,"area":null},{"id":"2306.08200","title":"POP: Prompt Of Prompts for Continual Learning","created":"2023-06-14","cited_by_count":7,"area":null},{"id":"2510.13851","title":"EvoEdit: Evolving Null-space Alignment for Robust and Efficient Knowledge Editing","created":"2025-10-11","cited_by_count":7,"area":null},{"id":"2301.12131","title":"Restricted Orthogonal Gradient Projection for Continual Learning","created":"2023-01-28","cited_by_count":6,"area":null},{"id":"2502.05540","title":"Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector","created":"2025-02-08","cited_by_count":6,"area":null},{"id":"2507.09471","title":"CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning","created":"2025-07-13","cited_by_count":6,"area":null},{"id":"2402.11196","title":"Maintaining Adversarial Robustness in Continuous Learning","created":"2024-02-17","cited_by_count":5,"area":null},{"id":"2504.01196","title":"$\\mu$KE: Matryoshka Unstructured Knowledge Editing of Large Language Models","created":"2025-04-01","cited_by_count":5,"area":null},{"id":"2308.16567","title":"ScrollNet: Dynamic Weight Importance for Continual Learning","created":"2023-08-31","cited_by_count":4,"area":null},{"id":"2310.00154","title":"Primal Dual Continual Learning: Balancing Stability and Plasticity through Adaptive Memory Allocation","created":"2023-09-29","cited_by_count":4,"area":null},{"id":"2402.17390","title":"Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates","created":"2024-02-27","cited_by_count":4,"area":null},{"id":"2403.16124","title":"Enhancing Visual Continual Learning with Language-Guided Supervision","created":"2024-03-24","cited_by_count":4,"area":null},{"id":"2407.04587","title":"Multimodal Classification via Modal-Aware Interactive Enhancement","created":"2024-07-05","cited_by_count":4,"area":null},{"id":"2411.15235","title":"CODE-CL: Conceptor-Based Gradient Projection for Deep Continual Learning","created":"2024-11-21","cited_by_count":4,"area":null},{"id":"2502.12388","title":"Achieving Upper Bound Accuracy of Joint Training in Continual Learning","created":"2025-02-17","cited_by_count":4,"area":null},{"id":"2505.24254","title":"Rethinking Continual Learning with Progressive Neural Collapse","created":"2025-05-30","cited_by_count":4,"area":null},{"id":"2211.13108","title":"Integral Continual Learning Along the Tangent Vector Field of Tasks","created":"2022-11-23","cited_by_count":3,"area":null},{"id":"2304.05547","title":"Taxonomic Class Incremental Learning","created":"2023-04-12","cited_by_count":3,"area":null},{"id":"2307.02140","title":"Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives","created":"2023-07-05","cited_by_count":3,"area":null},{"id":"2404.11013","title":"Control Theoretic Approach to Fine-Tuning and Transfer Learning","created":"2024-04-17","cited_by_count":3,"area":null},{"id":"2411.00623","title":"Replay-Free Continual Low-Rank Adaptation with Dynamic Memory","created":"2024-11-01","cited_by_count":3,"area":null},{"id":"2603.18596","title":"Elastic Weight Consolidation Done Right for Continual Learning","created":"2026-03-19","cited_by_count":3,"area":null},{"id":"2201.01488","title":"Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers","created":"2022-01-05","cited_by_count":2,"area":null},{"id":"2303.15378","title":"CoDeC: Communication-Efficient Decentralized Continual Learning","created":"2023-03-27","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":"2310.04741","title":"Keep Moving: identifying task-relevant subspaces to maximise plasticity for newly learned tasks","created":"2023-10-07","cited_by_count":2,"area":null},{"id":"2310.18639","title":"Towards Plastic and Stable Exemplar-Free Incremental Learning: A Dual-Learner Framework with Cumulative Parameter Averaging","created":"2023-10-28","cited_by_count":2,"area":null},{"id":"2311.15161","title":"Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning","created":"2023-11-26","cited_by_count":2,"area":null},{"id":"2403.07404","title":"Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers","created":"2024-03-12","cited_by_count":2,"area":null},{"id":"2406.08830","title":"Center-Sensitive Kernel Optimization for Efficient On-Device Incremental Learning","created":"2024-06-13","cited_by_count":2,"area":null},{"id":"2505.07899","title":"On the Superimposed Noise Accumulation Problem in Sequential Knowledge Editing of Large Language Models","created":"2025-05-12","cited_by_count":2,"area":null},{"id":"2506.11044","title":"Boost Post-Training Quantization via Null Space Optimization for Large Language Models","created":"2025-05-21","cited_by_count":2,"area":null},{"id":"2511.17439","title":"InTAct: Interval-based Task Activation Consolidation for Continual Learning","created":"2025-11-21","cited_by_count":2,"area":null},{"id":"2609.06161","title":"All for 1-Bit: Towards Genuine 1-Bit Post-Training Quantization for LLMs","created":"2026-09-05","cited_by_count":2,"area":null},{"id":"2312.07082","title":"Continual Learning through Networks Splitting and Merging with Dreaming-Meta-Weighted Model Fusion","created":"2023-12-12","cited_by_count":1,"area":null},{"id":"2312.08740","title":"Learning a Low-Rank Feature Representation: Achieving Better Trade-Off between Stability and Plasticity in Continual Learning","created":"2023-12-14","cited_by_count":1,"area":null},{"id":"2503.11895","title":"Resolving UnderEdit & OverEdit with Iterative & Neighbor-Assisted Model Editing","created":"2025-03-14","cited_by_count":1,"area":null},{"id":"2503.19939","title":"Continual Learning With Quasi-Newton Methods","created":"2025-03-25","cited_by_count":1,"area":null},{"id":"2504.10561","title":"Self-Controlled Dynamic Expansion Model for Continual Learning","created":"2025-04-14","cited_by_count":1,"area":null},{"id":"2505.22408","title":"Frugal Incremental Generative Modeling using Variational Autoencoders","created":"2025-05-28","cited_by_count":1,"area":null},{"id":"2506.10800","title":"Mitigating Negative Interference in Multilingual Sequential Knowledge Editing through Null-Space Constraints","created":"2025-06-12","cited_by_count":1,"area":null},{"id":"2506.19558","title":"Consistency-Driven Calibration and Matching for Few-Shot Class-Incremental Learning","created":"2025-06-24","cited_by_count":1,"area":null},{"id":"2509.23027","title":"Understanding Catastrophic Interference: On the Identifibility of Latent Representations","created":"2025-09-27","cited_by_count":1,"area":null},{"id":"2512.15233","title":"Null-LoRA: Low-Rank Adaptation on Null Space","created":"2025-12-17","cited_by_count":1,"area":null},{"id":"2512.19725","title":"Out-of-Distribution Detection for Continual Learning: Design Principles and Benchmarking","created":"2025-12-16","cited_by_count":1,"area":null},{"id":"2512.22029","title":"LibContinual: A Comprehensive Library towards Realistic Continual Learning","created":"2025-12-26","cited_by_count":1,"area":null},{"id":"2606.27147","title":"Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks","created":"2026-06-25","cited_by_count":1,"area":null},{"id":"2210.00713","title":"Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation","created":"2022-10-03","cited_by_count":0,"area":null},{"id":"2303.11952","title":"Hierarchical Memory Pool Based Edge Semi-Supervised Continual Learning Method","created":"2023-01-17","cited_by_count":0,"area":null},{"id":"2310.02699","title":"Continual Contrastive Spoken Language Understanding","created":"2023-10-04","cited_by_count":0,"area":null},{"id":"2403.10476","title":"Approximate Nullspace Augmented Finetuning for Robust Vision Transformers","created":"2024-03-15","cited_by_count":0,"area":null},{"id":"2406.16615","title":"The Championship-Winning Solution for the 5th CLVISION Challenge 2024","created":"2024-06-24","cited_by_count":0,"area":null},{"id":"2407.04996","title":"The Solution for the sequential task continual learning track of the 2nd Greater Bay Area International Algorithm Competition","created":"2024-07-06","cited_by_count":0,"area":null},{"id":"2408.05788","title":"Continual Learning of Nonlinear Independent Representations","created":"2024-08-11","cited_by_count":0,"area":null},{"id":"2409.11754","title":"NPAT Null-Space Projected Adversarial Training Towards Zero Deterioration","created":"2024-09-18","cited_by_count":0,"area":null},{"id":"2501.08878","title":"Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model","created":"2025-01-15","cited_by_count":0,"area":null},{"id":"2504.01648","title":"ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation","created":"2025-04-02","cited_by_count":0,"area":null}],"next_cursor":"100"}