{"total":189,"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":"2101.10423","title":"Online Continual Learning in Image Classification: An Empirical Survey","created":"2021-01-25","cited_by_count":245,"area":null},{"id":"2106.14413","title":"Co$^2$L: Contrastive Continual Learning","created":"2021-06-28","cited_by_count":244,"area":null},{"id":"2112.09153","title":"An Empirical Investigation of the Role of Pre-training in Lifelong Learning","created":"2021-12-16","cited_by_count":134,"area":null},{"id":"2105.10919","title":"Continual World: A Robotic Benchmark For Continual Reinforcement Learning","created":"2021-05-23","cited_by_count":116,"area":null},{"id":"2402.01109","title":"Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack","created":"2024-02-02","cited_by_count":115,"area":"alignment"},{"id":"2103.06342","title":"Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations","created":"2021-03-10","cited_by_count":96,"area":null},{"id":"2104.05489","title":"Continual Learning for Text Classification with Information Disentanglement Based Regularization","created":"2021-04-12","cited_by_count":86,"area":null},{"id":"2112.10017","title":"Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks","created":"2021-12-18","cited_by_count":81,"area":null},{"id":"2108.06325","title":"Continual Backprop: Stochastic Gradient Descent with Persistent Randomness","created":"2021-08-13","cited_by_count":80,"area":null},{"id":"2101.00407","title":"ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning","created":"2021-01-02","cited_by_count":68,"area":null},{"id":"2307.04722","title":"Advances and Challenges in Meta-Learning: A Technical Review","created":"2023-07-10","cited_by_count":65,"area":null},{"id":"2110.11526","title":"Wide Neural Networks Forget Less Catastrophically","created":"2021-10-21","cited_by_count":64,"area":null},{"id":"2111.07736","title":"Continual Learning via Local Module Composition","created":"2021-11-15","cited_by_count":63,"area":null},{"id":"2205.00329","title":"Continual Learning with Foundation Models: An Empirical Study of Latent Replay","created":"2022-04-30","cited_by_count":61,"area":null},{"id":"2105.12374","title":"Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks","created":"2021-05-26","cited_by_count":56,"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":"2405.18653","title":"Recent Advances of Foundation Language Models-based Continual Learning: A Survey","created":"2024-05-28","cited_by_count":46,"area":null},{"id":"2203.04640","title":"Memory Efficient Continual Learning with Transformers","created":"2022-03-09","cited_by_count":43,"area":null},{"id":"2306.13812","title":"Maintaining Plasticity in Deep Continual Learning","created":"2023-06-23","cited_by_count":43,"area":null},{"id":"2308.11063","title":"MetaGCD: Learning to Continually Learn in Generalized Category Discovery","created":"2023-08-21","cited_by_count":42,"area":null},{"id":"2110.00175","title":"DualNet: Continual Learning, Fast and Slow","created":"2021-10-01","cited_by_count":39,"area":null},{"id":"2104.01678","title":"Understanding Continual Learning Settings with Data Distribution Drift Analysis","created":"2021-04-04","cited_by_count":38,"area":null},{"id":"2110.10067","title":"CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents","created":"2021-10-19","cited_by_count":38,"area":null},{"id":"2103.07492","title":"Continual Learning for Recurrent Neural Networks: an Empirical Evaluation","created":"2021-03-12","cited_by_count":34,"area":null},{"id":"2108.11005","title":"Wanderlust: Online Continual Object Detection in the Real World","created":"2021-08-25","cited_by_count":34,"area":null},{"id":"2110.14402","title":"Learning where to learn: Gradient sparsity in meta and continual learning","created":"2021-10-27","cited_by_count":33,"area":null},{"id":"2205.13323","title":"The Effect of Task Ordering in Continual Learning","created":"2022-05-26","cited_by_count":31,"area":null},{"id":"2101.09536","title":"Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer","created":"2021-01-23","cited_by_count":30,"area":null},{"id":"2310.15746","title":"Failures Pave the Way: Enhancing Large Language Models through Tuning-free Rule Accumulation","created":"2023-10-24","cited_by_count":30,"area":null},{"id":"2302.14290","title":"Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation","created":"2023-02-28","cited_by_count":29,"area":"distill"},{"id":"2211.10445","title":"Building a Subspace of Policies for Scalable Continual Learning","created":"2022-11-18","cited_by_count":28,"area":null},{"id":"2106.06788","title":"Learngene: From Open-World to Your Learning Task","created":"2021-06-12","cited_by_count":27,"area":null},{"id":"2110.07735","title":"Continual Learning on Noisy Data Streams via Self-Purified Replay","created":"2021-10-14","cited_by_count":27,"area":null},{"id":"2111.01754","title":"Meta-Learning to Improve Pre-Training","created":"2021-11-02","cited_by_count":27,"area":null},{"id":"2207.07730","title":"How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition","created":"2022-07-15","cited_by_count":27,"area":null},{"id":"2312.00246","title":"Directions of Curvature as an Explanation for Loss of Plasticity","created":"2023-11-30","cited_by_count":26,"area":null},{"id":"2106.05390","title":"Optimizing Reusable Knowledge for Continual Learning via Metalearning","created":"2021-06-09","cited_by_count":25,"area":null},{"id":"2110.06972","title":"Block Contextual MDPs for Continual Learning","created":"2021-10-13","cited_by_count":25,"area":null},{"id":"2205.15445","title":"Continual Object Detection: A review of definitions, strategies, and challenges","created":"2022-05-30","cited_by_count":25,"area":null},{"id":"2109.14035","title":"Formalizing the Generalization-Forgetting Trade-off in Continual Learning","created":"2021-09-28","cited_by_count":24,"area":null},{"id":"2203.15955","title":"Investigating the Properties of Neural Network Representations in Reinforcement Learning","created":"2022-03-30","cited_by_count":24,"area":null},{"id":"2312.10549","title":"Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy","created":"2023-12-16","cited_by_count":24,"area":null},{"id":"2402.11565","title":"Continual Learning on Graphs: Challenges, Solutions, and Opportunities","created":"2024-02-18","cited_by_count":21,"area":null},{"id":"2108.12641","title":"Prototype-Guided Memory Replay for Continual Learning","created":"2021-08-28","cited_by_count":19,"area":null},{"id":"2110.05861","title":"Convolutional Neural Networks Are Not Invariant to Translation, but They Can Learn to Be","created":"2021-10-12","cited_by_count":19,"area":null},{"id":"2212.00824","title":"On-device Training: A First Overview on Existing Systems","created":"2022-12-01","cited_by_count":19,"area":null},{"id":"2312.11669","title":"Prediction and Control in Continual Reinforcement Learning","created":"2023-12-18","cited_by_count":19,"area":null},{"id":"2108.09112","title":"Continual Learning for Image-Based Camera Localization","created":"2021-08-20","cited_by_count":18,"area":null},{"id":"2303.08207","title":"Is forgetting less a good inductive bias for forward transfer?","created":"2023-03-14","cited_by_count":18,"area":null},{"id":"2105.13327","title":"Encoders and Ensembles for Task-Free Continual Learning","created":"2021-05-27","cited_by_count":17,"area":null},{"id":"2106.01834","title":"Continual Learning in Deep Networks: an Analysis of the Last Layer","created":"2021-06-03","cited_by_count":17,"area":null},{"id":"2304.00933","title":"Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting","created":"2023-04-03","cited_by_count":16,"area":null},{"id":"2306.15934","title":"Curious Replay for Model-based Adaptation","created":"2023-06-28","cited_by_count":16,"area":null},{"id":"2112.04467","title":"CoMPS: Continual Meta Policy Search","created":"2021-12-08","cited_by_count":15,"area":null},{"id":"2112.13896","title":"Two Sparsities Are Better Than One: Unlocking the Performance Benefits of Sparse-Sparse Networks","created":"2021-12-27","cited_by_count":15,"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":"2104.01677","title":"A contrastive rule for meta-learning","created":"2021-04-04","cited_by_count":14,"area":null},{"id":"2109.00150","title":"Federated Reconnaissance: Efficient, Distributed, Class-Incremental Learning","created":"2021-09-01","cited_by_count":14,"area":null},{"id":"2210.16414","title":"Meta-Learning Biologically Plausible Plasticity Rules with Random Feedback Pathways","created":"2022-10-28","cited_by_count":14,"area":null},{"id":"2407.20999","title":"MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning","created":"2024-07-30","cited_by_count":14,"area":null},{"id":"2107.14053","title":"Few-Shot and Continual Learning with Attentive Independent Mechanisms","created":"2021-07-29","cited_by_count":13,"area":null},{"id":"2203.03059","title":"Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably?","created":"2022-03-06","cited_by_count":13,"area":null},{"id":"2405.18756","title":"Provable Contrastive Continual Learning","created":"2024-05-29","cited_by_count":13,"area":null},{"id":"2106.09065","title":"SPeCiaL: Self-Supervised Pretraining for Continual Learning","created":"2021-06-16","cited_by_count":12,"area":null},{"id":"2203.01443","title":"Continuous-Time Meta-Learning with Forward Mode Differentiation","created":"2022-03-02","cited_by_count":12,"area":null},{"id":"2203.11720","title":"Continuous Detection, Rapidly React: Unseen Rumors Detection based on Continual Prompt-Tuning","created":"2022-03-16","cited_by_count":12,"area":null},{"id":"2309.15413","title":"Inherit with Distillation and Evolve with Contrast: Exploring Class Incremental Semantic Segmentation Without Exemplar Memory","created":"2023-09-27","cited_by_count":12,"area":"distill"},{"id":"2311.05241","title":"When Meta-Learning Meets Online and Continual Learning: A Survey","created":"2023-11-09","cited_by_count":12,"area":null},{"id":"2203.14383","title":"Continual learning: a feature extraction formalization, an efficient algorithm, and fundamental obstructions","created":"2022-03-27","cited_by_count":11,"area":null},{"id":"2310.11952","title":"Recasting Continual Learning as Sequence Modeling","created":"2023-10-18","cited_by_count":11,"area":null},{"id":"2311.11420","title":"LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms","created":"2023-11-19","cited_by_count":11,"area":null},{"id":"2504.13822","title":"Parameter-Efficient Continual Fine-Tuning: A Survey","created":"2025-04-18","cited_by_count":11,"area":null},{"id":"2404.16612","title":"MuseumMaker: Continual Style Customization without Catastrophic Forgetting","created":"2024-04-25","cited_by_count":10,"area":null},{"id":"2511.07970","title":"Continual Unlearning for Text-to-Image Diffusion Models: A Regularization Perspective","created":"2025-11-11","cited_by_count":10,"area":"diffusion"},{"id":"2106.15367","title":"MAML is a Noisy Contrastive Learner in Classification","created":"2021-06-29","cited_by_count":9,"area":null},{"id":"2207.05742","title":"Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning","created":"2022-07-12","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":"2101.12136","title":"Self-Attention Meta-Learner for Continual Learning","created":"2021-01-28","cited_by_count":8,"area":null},{"id":"2102.11544","title":"Identifying Physical Law of Hamiltonian Systems via Meta-Learning","created":"2021-02-23","cited_by_count":8,"area":null},{"id":"2405.18758","title":"Learning to Continually Learn with the Bayesian Principle","created":"2024-05-29","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":"2203.01012","title":"Continual Feature Selection: Spurious Features in Continual Learning","created":"2022-03-02","cited_by_count":7,"area":null},{"id":"2208.01573","title":"Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning","created":"2022-08-02","cited_by_count":7,"area":null},{"id":"2303.11624","title":"Assessor-Guided Learning for Continual Environments","created":"2023-03-21","cited_by_count":7,"area":null},{"id":"2306.10724","title":"Partial Hypernetworks for Continual Learning","created":"2023-06-19","cited_by_count":7,"area":null},{"id":"2312.00276","title":"Metalearning Continual Learning Algorithms","created":"2023-12-01","cited_by_count":7,"area":null},{"id":"2607.07847","title":"When Does Continual Learning Require Learning","created":"2026-07-08","cited_by_count":7,"area":"inference"},{"id":"2206.14048","title":"Short-Term Plasticity Neurons Learning to Learn and Forget","created":"2022-06-28","cited_by_count":6,"area":null},{"id":"2310.07996","title":"Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning","created":"2023-10-12","cited_by_count":6,"area":null},{"id":"2403.09613","title":"Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training","created":"2024-03-14","cited_by_count":6,"area":null},{"id":"2407.15429","title":"Learning at a Glance: Towards Interpretable Data-limited Continual Semantic Segmentation via Semantic-Invariance Modelling","created":"2024-07-22","cited_by_count":6,"area":null},{"id":"2409.02561","title":"Vision-Language Navigation with Continual Learning","created":"2024-09-04","cited_by_count":6,"area":null},{"id":"2307.04887","title":"Measuring and Mitigating Interference in Reinforcement Learning","created":"2023-07-10","cited_by_count":5,"area":null},{"id":"2311.03732","title":"Learning to Learn for Few-shot Continual Active Learning","created":"2023-11-07","cited_by_count":5,"area":null},{"id":"2502.20237","title":"Teasing Apart Architecture and Initial Weights as Sources of Inductive Bias in Neural Networks","created":"2025-02-27","cited_by_count":5,"area":null},{"id":"2104.09034","title":"Few-shot Continual Learning: a Brain-inspired Approach","created":"2021-04-19","cited_by_count":4,"area":null},{"id":"2104.11514","title":"Learning to Learn to be Right for the Right Reasons","created":"2021-04-23","cited_by_count":4,"area":null},{"id":"2105.08445","title":"DRILL: Dynamic Representations for Imbalanced Lifelong Learning","created":"2021-05-18","cited_by_count":4,"area":null},{"id":"2109.05675","title":"Online Unsupervised Learning of Visual Representations and Categories","created":"2021-09-13","cited_by_count":4,"area":null}],"next_cursor":"100"}