{"total":37,"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":"2112.04215","title":"Self-Supervised Models are Continual Learners","created":"2021-12-08","cited_by_count":149,"area":null},{"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":"2105.14859","title":"Consistency Regularization for Variational Auto-Encoders","created":"2021-05-31","cited_by_count":51,"area":null},{"id":"2207.00429","title":"Modular Lifelong Reinforcement Learning via Neural Composition","created":"2022-07-01","cited_by_count":40,"area":null},{"id":"2203.12710","title":"The Challenges of Continuous Self-Supervised Learning","created":"2022-03-23","cited_by_count":36,"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":"2203.09250","title":"Symmetry-Based Representations for Artificial and Biological General Intelligence","created":"2022-03-17","cited_by_count":26,"area":null},{"id":"2212.05102","title":"A soft nearest-neighbor framework for continual semi-supervised learning","created":"2022-12-09","cited_by_count":17,"area":null},{"id":"2106.12772","title":"Task-agnostic Continual Learning with Hybrid Probabilistic Models","created":"2021-06-24","cited_by_count":16,"area":null},{"id":"2208.11266","title":"SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge","created":"2022-08-24","cited_by_count":16,"area":null},{"id":"2203.06852","title":"Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions","created":"2022-03-14","cited_by_count":14,"area":null},{"id":"2106.09065","title":"SPeCiaL: Self-Supervised Pretraining for Continual Learning","created":"2021-06-16","cited_by_count":12,"area":null},{"id":"2206.04756","title":"An Empirical Study on Disentanglement of Negative-free Contrastive Learning","created":"2022-06-09","cited_by_count":12,"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":"2401.03077","title":"A Topology-aware Graph Coarsening Framework for Continual Graph Learning","created":"2024-01-05","cited_by_count":11,"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":"2108.12278","title":"Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process","created":"2021-08-25","cited_by_count":7,"area":null},{"id":"2106.12196","title":"Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning","created":"2021-06-23","cited_by_count":5,"area":null},{"id":"2106.02585","title":"A Procedural World Generation Framework for Systematic Evaluation of Continual Learning","created":"2021-06-04","cited_by_count":4,"area":null},{"id":"2112.08370","title":"Lifelong Generative Modelling Using Dynamic Expansion Graph Model","created":"2021-12-15","cited_by_count":4,"area":null},{"id":"2205.11713","title":"Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representations","created":"2022-05-24","cited_by_count":4,"area":null},{"id":"2403.18266","title":"Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning","created":"2024-03-27","cited_by_count":4,"area":null},{"id":"2211.16780","title":"An Optimal Transport-driven Approach for Cultivating Latent Space in Online Incremental Learning","created":"2022-11-30","cited_by_count":2,"area":null},{"id":"2110.03628","title":"Boxhead: A Dataset for Learning Hierarchical Representations","created":"2021-10-07","cited_by_count":1,"area":null},{"id":"2306.03542","title":"Masked Autoencoders are Efficient Continual Federated Learners","created":"2023-06-06","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":"2507.08922","title":"The Bayesian Approach to Continual Learning: An Overview","created":"2025-07-11","cited_by_count":1,"area":null},{"id":"2602.02568","title":"Mitigating Task-Order Sensitivity and Forgetting via Hierarchical Second-Order Consolidation","created":"2026-01-31","cited_by_count":1,"area":null},{"id":"2101.00674","title":"Recoding latent sentence representations -- Dynamic gradient-based activation modification in RNNs","created":"2021-01-03","cited_by_count":0,"area":null},{"id":"2110.08857","title":"Growing Representation Learning","created":"2021-10-17","cited_by_count":0,"area":null},{"id":"2207.08309","title":"CULT: Continual Unsupervised Learning with Typicality-Based Environment Detection","created":"2022-07-17","cited_by_count":0,"area":null},{"id":"2310.12001","title":"Bayesian Flow Networks in Continual Learning","created":"2023-10-18","cited_by_count":0,"area":null},{"id":"2312.13699","title":"Adapt & Align: Continual Learning with Generative Models Latent Space Alignment","created":"2023-12-21","cited_by_count":0,"area":null},{"id":"2409.16391","title":"Patch-Based Contrastive Learning and Memory Consolidation for Online Unsupervised Continual Learning","created":"2024-09-24","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":"2603.27134","title":"Factorization Regret mediates compositional generalization in latent space","created":"2026-03-28","cited_by_count":0,"area":null}],"next_cursor":null}