{"total":185,"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":"2111.11326","title":"DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion","created":"2021-11-22","cited_by_count":291,"area":null},{"id":"2103.17230","title":"Rainbow Memory: Continual Learning with a Memory of Diverse Samples","created":"2021-03-31","cited_by_count":273,"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":"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":"2202.06592","title":"Memory Replay with Data Compression for Continual Learning","created":"2022-02-14","cited_by_count":82,"area":null},{"id":"2403.05175","title":"Continual Learning and Catastrophic Forgetting","created":"2024-03-08","cited_by_count":77,"area":null},{"id":"2104.04132","title":"Replay in Deep Learning: Current Approaches and Missing Biological Elements","created":"2021-04-01","cited_by_count":72,"area":null},{"id":"2203.05402","title":"Representation Compensation Networks for Continual Semantic Segmentation","created":"2022-03-10","cited_by_count":72,"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":"2109.11369","title":"Recent Advances of Continual Learning in Computer Vision: An Overview","created":"2021-09-23","cited_by_count":55,"area":null},{"id":"2103.14010","title":"Self-Supervised Training Enhances Online Continual Learning","created":"2021-03-25","cited_by_count":54,"area":null},{"id":"2404.00781","title":"Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning","created":"2024-03-31","cited_by_count":50,"area":null},{"id":"2203.10681","title":"Online Continual Learning for Embedded Devices","created":"2022-03-21","cited_by_count":49,"area":null},{"id":"2212.04842","title":"PIVOT: Prompting for Video Continual Learning","created":"2022-12-09","cited_by_count":45,"area":null},{"id":"2104.10093","title":"Class-Incremental Learning with Generative Classifiers","created":"2021-04-20","cited_by_count":39,"area":null},{"id":"2110.00175","title":"DualNet: Continual Learning, Fast and Slow","created":"2021-10-01","cited_by_count":39,"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":"2102.09717","title":"Continual Learning for Blind Image Quality Assessment","created":"2021-02-19","cited_by_count":36,"area":null},{"id":"2210.00266","title":"Long-Tailed Class Incremental Learning","created":"2022-10-01","cited_by_count":36,"area":null},{"id":"2310.15469","title":"The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks","created":"2023-10-24","cited_by_count":36,"area":null},{"id":"2206.07023","title":"SBERT studies Meaning Representations: Decomposing Sentence Embeddings into Explainable Semantic Features","created":"2022-06-14","cited_by_count":33,"area":null},{"id":"2403.20317","title":"Convolutional Prompting meets Language Models for Continual Learning","created":"2024-03-29","cited_by_count":32,"area":null},{"id":"2305.09253","title":"Online Continual Learning Without the Storage Constraint","created":"2023-05-16","cited_by_count":29,"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":"2208.09734","title":"A Multi-Head Model for Continual Learning via Out-of-Distribution Replay","created":"2022-08-20","cited_by_count":27,"area":null},{"id":"2411.05663","title":"Online-LoRA: Task-free Online Continual Learning via Low Rank Adaptation","created":"2024-11-08","cited_by_count":27,"area":null},{"id":"2305.04769","title":"BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning","created":"2023-05-08","cited_by_count":25,"area":null},{"id":"2303.10725","title":"SIESTA: Efficient Online Continual Learning with Sleep","created":"2023-03-19","cited_by_count":24,"area":null},{"id":"2303.18171","title":"How Efficient Are Today's Continual Learning Algorithms?","created":"2023-03-29","cited_by_count":24,"area":null},{"id":"2305.14657","title":"Dealing with Cross-Task Class Discrimination in Online Continual Learning","created":"2023-05-24","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":"2403.18383","title":"Generative Multi-modal Models are Good Class-Incremental Learners","created":"2024-03-27","cited_by_count":22,"area":null},{"id":"2104.09396","title":"Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis","created":"2021-04-19","cited_by_count":21,"area":null},{"id":"2203.09450","title":"Continual Learning Based on OOD Detection and Task Masking","created":"2022-03-17","cited_by_count":21,"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":"2102.09890","title":"Condensed Composite Memory Continual Learning","created":"2021-02-19","cited_by_count":20,"area":null},{"id":"2207.04543","title":"Challenging Common Assumptions about Catastrophic Forgetting","created":"2022-07-10","cited_by_count":20,"area":null},{"id":"2210.15701","title":"Do Pre-trained Models Benefit Equally in Continual Learning?","created":"2022-10-27","cited_by_count":20,"area":null},{"id":"2211.09790","title":"ConStruct-VL: Data-Free Continual Structured VL Concepts Learning","created":"2022-11-17","cited_by_count":20,"area":null},{"id":"2310.18285","title":"Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning","created":"2023-10-27","cited_by_count":20,"area":null},{"id":"2104.13614","title":"Preserving Earlier Knowledge in Continual Learning with the Help of All Previous Feature Extractors","created":"2021-04-28","cited_by_count":19,"area":null},{"id":"2106.11930","title":"On the importance of cross-task features for class-incremental learning","created":"2021-06-22","cited_by_count":18,"area":null},{"id":"2203.10730","title":"Semantic Segmentation with Active Semi-Supervised Learning","created":"2022-03-21","cited_by_count":16,"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":"2106.15287","title":"Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation","created":"2021-06-29","cited_by_count":15,"area":null},{"id":"2406.03880","title":"Memorization in deep learning: A survey","created":"2024-06-06","cited_by_count":15,"area":null},{"id":"2308.13646","title":"GRASP: A Rehearsal Policy for Efficient Online Continual Learning","created":"2023-08-25","cited_by_count":14,"area":null},{"id":"2103.12532","title":"Balanced softmax cross-entropy for incremental learning with and without memory","created":"2021-03-23","cited_by_count":13,"area":null},{"id":"2204.00827","title":"Intelligence at the Extreme Edge: A Survey on Reformable TinyML","created":"2022-04-02","cited_by_count":13,"area":null},{"id":"2301.07799","title":"A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems","created":"2023-01-18","cited_by_count":13,"area":null},{"id":"2306.01904","title":"Overcoming the Stability Gap in Continual Learning","created":"2023-06-02","cited_by_count":13,"area":null},{"id":"2405.15018","title":"What Variables Affect Out-of-Distribution Generalization in Pretrained Models?","created":"2024-05-23","cited_by_count":13,"area":null},{"id":"2103.03987","title":"Selective Replay Enhances Learning in Online Continual Analogical Reasoning","created":"2021-03-06","cited_by_count":12,"area":null},{"id":"2105.08595","title":"ACAE-REMIND for Online Continual Learning with Compressed Feature Replay","created":"2021-05-18","cited_by_count":12,"area":null},{"id":"2204.11667","title":"Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation","created":"2022-04-25","cited_by_count":12,"area":null},{"id":"2307.16419","title":"Subspace Distillation for Continual Learning","created":"2023-07-31","cited_by_count":12,"area":null},{"id":"2208.05056","title":"Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2","created":"2022-08-09","cited_by_count":11,"area":null},{"id":"2209.08660","title":"Learn the Time to Learn: Replay Scheduling in Continual Learning","created":"2022-09-18","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":"2301.12467","title":"Continual Learning for Predictive Maintenance: Overview and Challenges","created":"2023-01-29","cited_by_count":10,"area":null},{"id":"2305.18418","title":"Just a Glimpse: Rethinking Temporal Information for Video Continual Learning","created":"2023-05-28","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":"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":"2205.10868","title":"Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation","created":"2022-05-22","cited_by_count":9,"area":null},{"id":"2212.11192","title":"Continual Learning Approaches for Anomaly Detection","created":"2022-12-21","cited_by_count":9,"area":null},{"id":"2311.01200","title":"Continual Learning Under Language Shift","created":"2023-11-02","cited_by_count":9,"area":null},{"id":"2501.15356","title":"Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting","created":"2025-01-26","cited_by_count":9,"area":null},{"id":"2102.07848","title":"Self-Supervised Features Improve Open-World Learning","created":"2021-02-15","cited_by_count":8,"area":null},{"id":"2208.06507","title":"Continual Unsupervised Domain Adaptation for Semantic Segmentation using a Class-Specific Transfer","created":"2022-08-12","cited_by_count":8,"area":null},{"id":"2209.09839","title":"Improving Replay-Based Continual Semantic Segmentation with Smart Data Selection","created":"2022-09-20","cited_by_count":8,"area":null},{"id":"2404.04476","title":"DELTA: Decoupling Long-Tailed Online Continual Learning","created":"2024-04-06","cited_by_count":8,"area":null},{"id":"2404.19132","title":"Integrating Present and Past in Unsupervised Continual Learning","created":"2024-04-29","cited_by_count":8,"area":null},{"id":"2502.17788","title":"On-device edge learning for IoT data streams: a survey","created":"2025-02-25","cited_by_count":8,"area":null},{"id":"2305.05738","title":"DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on Wearable Medical Sensors","created":"2023-05-09","cited_by_count":7,"area":null},{"id":"2305.13622","title":"Continual Learning with Strong Experience Replay","created":"2023-05-23","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":"2406.14878","title":"MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection","created":"2024-06-21","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":"2506.05977","title":"Mitigating Catastrophic Forgetting with Adaptive Transformer Block Expansion in Federated Fine-Tuning","created":"2025-06-06","cited_by_count":7,"area":null},{"id":"2112.14146","title":"Towards continual task learning in artificial neural networks: current approaches and insights from neuroscience","created":"2021-12-28","cited_by_count":6,"area":null},{"id":"2201.07372","title":"Prospective Learning: Principled Extrapolation to the Future","created":"2022-01-19","cited_by_count":6,"area":null},{"id":"2210.00940","title":"How Relevant is Selective Memory Population in Lifelong Language Learning?","created":"2022-10-03","cited_by_count":6,"area":null},{"id":"2308.11357","title":"Exemplar-Free Continual Transformer with Convolutions","created":"2023-08-22","cited_by_count":6,"area":null},{"id":"2501.12254","title":"Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos","created":"2025-01-21","cited_by_count":6,"area":null},{"id":"2503.22136","title":"Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation","created":"2025-03-28","cited_by_count":6,"area":null},{"id":"2310.04334","title":"Saliency-Guided Hidden Associative Replay for Continual Learning","created":"2023-10-06","cited_by_count":5,"area":null},{"id":"2403.06102","title":"Coherent Temporal Synthesis for Incremental Action Segmentation","created":"2024-03-10","cited_by_count":5,"area":null},{"id":"2103.11056","title":"ConDA: Continual Unsupervised Domain Adaptation","created":"2021-03-19","cited_by_count":4,"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":"2105.08146","title":"MUSER: MUltimodal Stress Detection using Emotion Recognition as an Auxiliary Task","created":"2021-05-17","cited_by_count":4,"area":null},{"id":"2107.04464","title":"A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification","created":"2021-07-09","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},{"id":"2209.08010","title":"Causes of Catastrophic Forgetting in Class-Incremental Semantic Segmentation","created":"2022-09-16","cited_by_count":4,"area":null},{"id":"2303.14115","title":"Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions","created":"2023-03-24","cited_by_count":4,"area":null},{"id":"2305.16332","title":"Continual Learning through Human-Robot Interaction: Human Perceptions of a Continual Learning Robot in Repeated Interactions","created":"2023-05-22","cited_by_count":4,"area":null},{"id":"2307.15941","title":"Continual Learning in Predictive Autoscaling","created":"2023-07-29","cited_by_count":4,"area":null},{"id":"2308.16567","title":"ScrollNet: Dynamic Weight Importance for Continual Learning","created":"2023-08-31","cited_by_count":4,"area":null},{"id":"2309.08227","title":"VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference","created":"2023-09-15","cited_by_count":4,"area":null},{"id":"2401.07459","title":"Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention","created":"2024-01-15","cited_by_count":4,"area":null}],"next_cursor":"100"}