{"total":102,"rows":[{"id":"2103.12352","title":"iMAP: Implicit Mapping and Positioning in Real-Time","created":"2021-03-23","cited_by_count":476,"area":null},{"id":"2211.13218","title":"CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning","created":"2022-11-23","cited_by_count":450,"area":null},{"id":"2110.04994","title":"Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans","created":"2021-10-11","cited_by_count":336,"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":"2106.09701","title":"Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning","created":"2021-06-17","cited_by_count":131,"area":null},{"id":"2104.00405","title":"Avalanche: an End-to-End Library for Continual Learning","created":"2021-04-01","cited_by_count":124,"area":null},{"id":"2201.06289","title":"The CLEAR Benchmark: Continual LEArning on Real-World Imagery","created":"2022-01-17","cited_by_count":93,"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":"2104.10093","title":"Class-Incremental Learning with Generative Classifiers","created":"2021-04-20","cited_by_count":39,"area":null},{"id":"2108.06781","title":"Online Continual Learning For Visual Food Classification","created":"2021-08-15","cited_by_count":39,"area":null},{"id":"2402.18528","title":"Gradient Reweighting: Towards Imbalanced Class-Incremental Learning","created":"2024-02-28","cited_by_count":37,"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":"2103.07492","title":"Continual Learning for Recurrent Neural Networks: an Empirical Evaluation","created":"2021-03-12","cited_by_count":34,"area":null},{"id":"2403.05890","title":"Towards Efficient Replay in Federated Incremental Learning","created":"2024-03-09","cited_by_count":33,"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":"2202.10688","title":"Graph Lifelong Learning: A Survey","created":"2022-02-22","cited_by_count":30,"area":null},{"id":"2308.06764","title":"Few-shot Class-incremental Learning for Classification and Object Detection: A Survey","created":"2023-08-13","cited_by_count":25,"area":null},{"id":"2105.04093","title":"Elastic Weight Consolidation (EWC): Nuts and Bolts","created":"2021-05-10","cited_by_count":23,"area":null},{"id":"2112.13246","title":"Towards Federated Learning on Time-Evolving Heterogeneous Data","created":"2021-12-25","cited_by_count":23,"area":null},{"id":"2101.00926","title":"CLeaR: An Adaptive Continual Learning Framework for Regression Tasks","created":"2021-01-04","cited_by_count":22,"area":null},{"id":"2112.02925","title":"Is Class-Incremental Enough for Continual Learning?","created":"2021-12-06","cited_by_count":22,"area":null},{"id":"2302.11346","title":"Task-Aware Information Routing from Common Representation Space in Lifelong Learning","created":"2023-02-14","cited_by_count":22,"area":null},{"id":"2404.12526","title":"Adaptive Memory Replay for Continual Learning","created":"2024-04-18","cited_by_count":22,"area":null},{"id":"2407.05005","title":"Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching","created":"2024-07-06","cited_by_count":21,"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":"2307.00183","title":"Long-Tailed Continual Learning For Visual Food Recognition","created":"2023-07-01","cited_by_count":20,"area":null},{"id":"2101.00509","title":"Regularization-based Continual Learning for Anomaly Detection in Discrete Manufacturing","created":"2021-01-02","cited_by_count":19,"area":null},{"id":"2109.09282","title":"Unsupervised Continual Learning in Streaming Environments","created":"2021-09-20","cited_by_count":19,"area":null},{"id":"2104.07164","title":"Unsupervised Continual Learning Via Pseudo Labels","created":"2021-04-14","cited_by_count":18,"area":null},{"id":"2402.16374","title":"Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning","created":"2024-02-26","cited_by_count":18,"area":null},{"id":"2110.08855","title":"Online Continual Learning Via Candidates Voting","created":"2021-10-17","cited_by_count":15,"area":null},{"id":"2412.13779","title":"Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence","created":"2024-12-18","cited_by_count":15,"area":null},{"id":"2305.18806","title":"Prediction Error-based Classification for Class-Incremental Learning","created":"2023-05-30","cited_by_count":14,"area":null},{"id":"2103.11750","title":"Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification","created":"2021-03-22","cited_by_count":13,"area":null},{"id":"2210.04993","title":"Continual Learning with Evolving Class Ontologies","created":"2022-10-10","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":"2303.09914","title":"Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less","created":"2023-03-16","cited_by_count":12,"area":null},{"id":"2112.06511","title":"Ex-Model: Continual Learning from a Stream of Trained Models","created":"2021-12-13","cited_by_count":11,"area":null},{"id":"2208.14307","title":"Beyond Supervised Continual Learning: a Review","created":"2022-08-30","cited_by_count":11,"area":null},{"id":"2306.15333","title":"Shoggoth: Towards Efficient Edge-Cloud Collaborative Real-Time Video Inference via Adaptive Online Learning","created":"2023-06-27","cited_by_count":11,"area":null},{"id":"2405.04101","title":"Continual Learning in the Presence of Repetition","created":"2024-05-07","cited_by_count":10,"area":null},{"id":"2109.05186","title":"Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers","created":"2021-09-11","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":"2301.11396","title":"Class-Incremental Learning with Repetition","created":"2023-01-26","cited_by_count":9,"area":null},{"id":"2402.12035","title":"Class-incremental Learning for Time Series: Benchmark and Evaluation","created":"2024-02-19","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":"2210.03869","title":"TAME: Task Agnostic Continual Learning using Multiple Experts","created":"2022-10-08","cited_by_count":8,"area":null},{"id":"2205.03824","title":"A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges","created":"2022-05-08","cited_by_count":7,"area":null},{"id":"2205.13066","title":"Semi-supervised Drifted Stream Learning with Short Lookback","created":"2022-05-25","cited_by_count":7,"area":null},{"id":"2305.07772","title":"Monitoring and Adapting ML Models on Mobile Devices","created":"2023-05-12","cited_by_count":6,"area":null},{"id":"2306.09970","title":"Continual Adaptation of Vision Transformers for Federated Learning","created":"2023-06-16","cited_by_count":6,"area":null},{"id":"2107.03336","title":"Regularization-based Continual Learning for Fault Prediction in Lithium-Ion Batteries","created":"2021-07-07","cited_by_count":5,"area":null},{"id":"2110.13611","title":"Dendritic Self-Organizing Maps for Continual Learning","created":"2021-10-18","cited_by_count":5,"area":null},{"id":"2112.11944","title":"Continual learning of longitudinal health records","created":"2021-12-22","cited_by_count":5,"area":null},{"id":"2203.13321","title":"Addressing Client Drift in Federated Continual Learning with Adaptive Optimization","created":"2022-03-24","cited_by_count":5,"area":null},{"id":"2305.06555","title":"Domain Incremental Lifelong Learning in an Open World","created":"2023-05-11","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":"2106.04920","title":"Towards Deep Industrial Transfer Learning for Anomaly Detection on Time Series Data","created":"2021-06-09","cited_by_count":4,"area":null},{"id":"2111.09437","title":"Sustainable Artificial Intelligence through Continual Learning","created":"2021-11-17","cited_by_count":4,"area":null},{"id":"2204.05842","title":"Generative Negative Replay for Continual Learning","created":"2022-04-12","cited_by_count":4,"area":null},{"id":"2209.00591","title":"Incremental Online Learning Algorithms Comparison for Gesture and Visual Smart Sensors","created":"2022-09-01","cited_by_count":4,"area":null},{"id":"2303.15888","title":"Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual Learning","created":"2023-03-28","cited_by_count":4,"area":null},{"id":"2410.20768","title":"Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings","created":"2024-10-28","cited_by_count":4,"area":null},{"id":"2505.05926","title":"Autoencoder-Based Hybrid Replay for Class-Incremental Learning","created":"2025-05-09","cited_by_count":4,"area":null},{"id":"2106.05350","title":"Generative Feature-driven Image Replay for Continual Learning","created":"2021-06-09","cited_by_count":3,"area":null},{"id":"2202.05694","title":"Continual Learning with Invertible Generative Models","created":"2022-02-11","cited_by_count":3,"area":null},{"id":"2206.13462","title":"Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot","created":"2022-06-27","cited_by_count":3,"area":null},{"id":"2212.06833","title":"3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding","created":"2022-12-13","cited_by_count":3,"area":null},{"id":"2303.05911","title":"Lifelong Machine Learning Potentials","created":"2023-03-10","cited_by_count":3,"area":null},{"id":"2303.13157","title":"Adiabatic replay for continual learning","created":"2023-03-23","cited_by_count":3,"area":null},{"id":"2307.04094","title":"Class-Incremental Mixture of Gaussians for Deep Continual Learning","created":"2023-07-09","cited_by_count":3,"area":null},{"id":"2405.10992","title":"Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System","created":"2024-05-16","cited_by_count":3,"area":null},{"id":"2407.00465","title":"Characterizing Continual Learning Scenarios and Strategies for Audio Analysis","created":"2024-06-29","cited_by_count":3,"area":null},{"id":"2109.11544","title":"Lifelong 3D Object Recognition and Grasp Synthesis Using Dual Memory Recurrent Self-Organization Networks","created":"2021-09-23","cited_by_count":2,"area":null},{"id":"2211.09027","title":"LLEDA -- Lifelong Self-Supervised Domain Adaptation","created":"2022-11-12","cited_by_count":2,"area":null},{"id":"2301.03495","title":"On the challenges to learn from Natural Data Streams","created":"2023-01-09","cited_by_count":2,"area":null},{"id":"2303.14930","title":"Addressing the Challenges of Open-World Object Detection","created":"2023-03-27","cited_by_count":2,"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":"2410.09449","title":"Continuous Risk Prediction","created":"2024-10-12","cited_by_count":2,"area":null},{"id":"2506.16389","title":"RiOT: Efficient Prompt Refinement with Residual Optimization Tree","created":"2025-06-19","cited_by_count":2,"area":null},{"id":"2102.07503","title":"One-shot learning for the long term: consolidation with an artificial hippocampal algorithm","created":"2021-02-15","cited_by_count":1,"area":null},{"id":"2103.05753","title":"Continual Developmental Neurosimulation Using Embodied Computational Agents","created":"2021-03-07","cited_by_count":1,"area":null},{"id":"2111.04096","title":"Online Mutual Adaptation of Deep Depth Prediction and Visual SLAM","created":"2021-11-07","cited_by_count":1,"area":null},{"id":"2111.07928","title":"Target Layer Regularization for Continual Learning Using Cramer-Wold Generator","created":"2021-11-15","cited_by_count":1,"area":null},{"id":"2201.01853","title":"Mixture of basis for interpretable continual learning with distribution shifts","created":"2022-01-05","cited_by_count":1,"area":null},{"id":"2202.13369","title":"Robust Continual Learning through a Comprehensively Progressive Bayesian Neural Network","created":"2022-02-27","cited_by_count":1,"area":null},{"id":"2205.09875","title":"Incremental Learning with Differentiable Architecture and Forgetting Search","created":"2022-05-19","cited_by_count":1,"area":null},{"id":"2209.14774","title":"RECALL: Rehearsal-free Continual Learning for Object Classification","created":"2022-09-29","cited_by_count":1,"area":null},{"id":"2301.02464","title":"Architect, Regularize and Replay (ARR): a Flexible Hybrid Approach for Continual Learning","created":"2023-01-06","cited_by_count":1,"area":null},{"id":"2311.06921","title":"Concept Matching: Clustering-based Federated Continual Learning","created":"2023-11-12","cited_by_count":1,"area":null},{"id":"2407.01033","title":"Neural Networks Trained by Weight Permutation are Universal Approximators","created":"2024-07-01","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":"2104.01577","title":"Class-incremental Learning using a Sequence of Partial Implicitly Regularized Classifiers","created":"2021-04-04","cited_by_count":0,"area":null},{"id":"2110.14694","title":"Towards Realistic Single-Task Continuous Learning Research for NER","created":"2021-10-27","cited_by_count":0,"area":null},{"id":"2208.14602","title":"Continuous QA Learning with Structured Prompts","created":"2022-08-31","cited_by_count":0,"area":null},{"id":"2211.14177","title":"Overcoming Catastrophic Forgetting by XAI","created":"2022-11-25","cited_by_count":0,"area":null},{"id":"2403.14679","title":"Continual Learning by Three-Phase Consolidation","created":"2024-03-12","cited_by_count":0,"area":null},{"id":"2410.12589","title":"From Lab to Pocket: A Novel Continual Learning-based Mobile Application for Screening COVID-19","created":"2024-10-16","cited_by_count":0,"area":null},{"id":"2502.17794","title":"PVBF: A Framework for Mitigating Parameter Variation Imbalance in Online Continual Learning","created":"2025-02-25","cited_by_count":0,"area":null},{"id":"2508.21240","title":"Class Incremental Continual Learning with Self-Organizing Maps and Synthetic Replay","created":"2025-08-28","cited_by_count":0,"area":null}],"next_cursor":"100"}