{"total":57,"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":"2303.05118","title":"SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model","created":"2023-03-09","cited_by_count":180,"area":null},{"id":"2307.02251","title":"RanPAC: Random Projections and Pre-trained Models for Continual Learning","created":"2023-07-05","cited_by_count":164,"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":"2303.11165","title":"Computationally Budgeted Continual Learning: What Does Matter?","created":"2023-03-20","cited_by_count":61,"area":null},{"id":"2302.00903","title":"No One Left Behind: Real-World Federated Class-Incremental Learning","created":"2023-02-02","cited_by_count":53,"area":null},{"id":"2407.14143","title":"Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion","created":"2024-07-19","cited_by_count":47,"area":null},{"id":"2303.13199","title":"First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning","created":"2023-03-23","cited_by_count":46,"area":null},{"id":"2303.12696","title":"Dense Network Expansion for Class Incremental Learning","created":"2023-03-22","cited_by_count":45,"area":null},{"id":"2312.08977","title":"Weighted Ensemble Models Are Strong Continual Learners","created":"2023-12-14","cited_by_count":42,"area":null},{"id":"2210.03482","title":"CLAD: A realistic Continual Learning benchmark for Autonomous Driving","created":"2022-10-07","cited_by_count":36,"area":null},{"id":"2305.09253","title":"Online Continual Learning Without the Storage Constraint","created":"2023-05-16","cited_by_count":29,"area":null},{"id":"2306.12646","title":"Learnability and Algorithm for Continual Learning","created":"2023-06-22","cited_by_count":28,"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":"2302.00162","title":"Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans","created":"2023-02-01","cited_by_count":21,"area":null},{"id":"2310.14277","title":"A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and Application","created":"2023-10-22","cited_by_count":21,"area":null},{"id":"2307.00183","title":"Long-Tailed Continual Learning For Visual Food Recognition","created":"2023-07-01","cited_by_count":20,"area":null},{"id":"2401.02094","title":"PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning","created":"2024-01-04","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":"2302.08741","title":"New Insights for the Stability-Plasticity Dilemma in Online Continual Learning","created":"2023-02-17","cited_by_count":16,"area":null},{"id":"2303.15975","title":"Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery","created":"2023-03-28","cited_by_count":11,"area":null},{"id":"2305.09275","title":"Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?","created":"2023-05-16","cited_by_count":10,"area":null},{"id":"2403.19979","title":"Continual Adapter Tuning with Semantic Shift Compensation for Class-Incremental Learning","created":"2024-03-29","cited_by_count":10,"area":null},{"id":"2404.16612","title":"MuseumMaker: Continual Style Customization without Catastrophic Forgetting","created":"2024-04-25","cited_by_count":10,"area":null},{"id":"2408.08295","title":"SLCA++: Unleash the Power of Sequential Fine-tuning for Continual Learning with Pre-training","created":"2024-08-15","cited_by_count":10,"area":null},{"id":"2210.07016","title":"Learning with Style: Continual Semantic Segmentation Across Tasks and Domains","created":"2022-10-13","cited_by_count":9,"area":null},{"id":"2306.08200","title":"POP: Prompt Of Prompts for Continual Learning","created":"2023-06-14","cited_by_count":7,"area":null},{"id":"2308.11677","title":"An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning","created":"2023-08-22","cited_by_count":7,"area":null},{"id":"2311.01420","title":"Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data","created":"2023-11-02","cited_by_count":7,"area":null},{"id":"2410.15143","title":"Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling","created":"2024-10-19","cited_by_count":7,"area":null},{"id":"2405.18069","title":"An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates","created":"2024-05-28","cited_by_count":6,"area":null},{"id":"2310.08948","title":"Federated Class-Incremental Learning with Prompting","created":"2023-10-13","cited_by_count":5,"area":null},{"id":"2403.07356","title":"Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning","created":"2024-03-12","cited_by_count":5,"area":null},{"id":"2501.07236","title":"CSTA: Spatial-Temporal Causal Adaptive Learning for Exemplar-Free Video Class-Incremental Learning","created":"2025-01-13","cited_by_count":5,"area":null},{"id":"2210.05561","title":"Schedule-Robust Online Continual Learning","created":"2022-10-11","cited_by_count":4,"area":null},{"id":"2406.02428","title":"Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning","created":"2024-06-04","cited_by_count":4,"area":null},{"id":"2303.13898","title":"Remind of the Past: Incremental Learning with Analogical Prompts","created":"2023-03-24","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":"2309.09122","title":"FDCNet: Feature Drift Compensation Network for Class-Incremental Weakly Supervised Object Localization","created":"2023-09-17","cited_by_count":3,"area":null},{"id":"2402.01201","title":"Few-Shot Class-Incremental Learning with Prior Knowledge","created":"2024-02-02","cited_by_count":3,"area":null},{"id":"2604.17736","title":"IncreFA: Breaking the Static Wall of Generative Model Attribution","created":"2026-04-20","cited_by_count":3,"area":null},{"id":"2401.06548","title":"Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning","created":"2024-01-12","cited_by_count":2,"area":null},{"id":"2405.08533","title":"Dynamic Feature Learning and Matching for Class-Incremental Learning","created":"2024-05-14","cited_by_count":1,"area":null},{"id":"2408.10046","title":"Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised Class Incremental Learning","created":"2024-08-19","cited_by_count":1,"area":null},{"id":"2602.02767","title":"Provable Effects of Data Replay in Continual Learning: A Feature Learning Perspective","created":"2026-02-02","cited_by_count":1,"area":null},{"id":"2306.11967","title":"Complementary Learning Subnetworks for Parameter-Efficient Class-Incremental Learning","created":"2023-06-21","cited_by_count":0,"area":null},{"id":"2407.21577","title":"Multi-Site Class-Incremental Learning with Weighted Experts in Echocardiography","created":"2024-07-31","cited_by_count":0,"area":null},{"id":"2411.06916","title":"Slowing Down Forgetting in Continual Learning","created":"2024-11-11","cited_by_count":0,"area":null},{"id":"2502.14762","title":"Unlocking [CLS] Features for Continual Post-Training","created":"2025-02-20","cited_by_count":0,"area":null},{"id":"2504.08626","title":"Task-conditioned Ensemble of Expert Models for Continuous Learning","created":"2025-04-11","cited_by_count":0,"area":null},{"id":"2504.20797","title":"Partitioned Memory Storage Inspired Few-Shot Class-Incremental learning","created":"2025-04-29","cited_by_count":0,"area":null},{"id":"2508.21773","title":"Unsupervised Video Continual Learning via Non-Parametric Deep Embedded Clustering","created":"2025-08-29","cited_by_count":0,"area":null},{"id":"2511.19491","title":"OpenCML: End-to-End Framework of Open-world Machine Learning to Learn Unknown Classes Incrementally","created":"2025-11-23","cited_by_count":0,"area":null},{"id":"2601.07855","title":"RoAD Benchmark: How LiDAR Models Fail under Coupled Domain Shifts and Label Evolution","created":"2026-01-09","cited_by_count":0,"area":null},{"id":"2603.21708","title":"Compensating Visual Insufficiency with Stratified Language Guidance for Long-Tail Class Incremental Learning","created":"2026-03-23","cited_by_count":0,"area":null},{"id":"2604.01116","title":"ProTPS: Prototype-Guided Text Prompt Selection for Continual Learning","created":"2026-04-01","cited_by_count":0,"area":null}],"next_cursor":null}