Continual Learning

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Period ending 2026-09-21

14 new papers

A weekly snapshot of new work published in Continual Learning.

Period ending 2026-09-14

11 new papers

A weekly snapshot of new work published in Continual Learning.

Period ending 2026-09-07

8 new papers

A weekly snapshot of new work published in Continual Learning.

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621 papers

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  1. Where to Bind Matters: Hebbian Fast Weights in Vision Transformers for Few-Shot Character Recognition

    Apr 22, 2026Gavin Money, Sindhuja Penchala, Jiacheng Li +1Vision TransformerPlasticity

  2. SkillLearnBench: Benchmarking Continual Learning Methods for Agent Skill Generation on Real-World Tasks

    Apr 22, 2026Shanshan Zhong, Yi Lu, Jingjie Ning +7Agent Skill EcosystemsLarge Language Model Agents

  3. From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents

    Apr 21, 2026Md Nayem Uddin, Kumar Shubham, Eduardo Blanco +2Agent MemoryLong-Term Memory

  4. Revisiting Catastrophic Forgetting in Continual Knowledge Graph Embedding

    Apr 21, 2026Gerard Pons, Carlos Escolano, Besim Bilalli +1Knowledge Graph EmbeddingsCatastrophic Forgetting

  5. Robust Continual Unlearning against Knowledge Erosion and Forgetting Reversal

    Apr 21, 2026Eun-Ju Park, Youjin Shin, Simon S. WooMachine UnlearningForgetting

  6. Towards Scalable Lifelong Knowledge Editing with Selective Knowledge Suppression

    Apr 21, 2026Dahyun Jung, Jaewook Lee, Heuiseok LimMultimodal Knowledge EditingCatastrophic Forgetting

  7. Task Switching Without Forgetting via Proximal Decoupling

    Apr 20, 2026Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger +2Efficient Continual LearningUnseen-Task Adaptation

  8. Incremental learning for audio classification with Hebbian Deep Neural Networks

    Apr 20, 2026Riccardo Casciotti, Francesco De Santis, Alberto Antonietti +1Domain Incremental LearningContinual Learning Methods

  9. Enhancing Continual Learning of Vision-Language Models via Dynamic Prefix Weighting

    Apr 20, 2026Hyeonseo Jang, Hyuk Kwon, Kibok LeeVision-Language Model AdaptationDomain Incremental Learning

  10. Neural Garbage Collection: Learning to Forget while Learning to Reason

    Apr 20, 2026Michael Y. Li, Jubayer Ibn Hamid, Emily B. Fox +1Catastrophic ForgettingLarge Language Model Memory

  11. GR4CIL: Gap-compensated Routing for CLIP-based Class Incremental Learning

    Apr 20, 2026Tianqi Wang, Jingcai GuoDomain Incremental LearningIn-Context Learning

  12. HiP-LoRA: Budgeted Spectral Plasticity for Robust Low-Rank Adaptation

    Apr 20, 2026Lixian Chen, Jianhong TanLow-Rank FactorizationPlasticity

  13. ThreadSumm: Summarization of Nested Discourse Threads Using Tree of Thoughts

    Apr 19, 2026Olubusayo Olabisi, Ekata Mitra, Ameeta AgrawalSummarizationMulti-Turn Conversations

  14. Recovery Guarantees for Continual Learning of Dependent Tasks: Memory, Data-Dependent Regularization, and Data-Dependent Weights

    Apr 19, 2026Liangzu Peng, Uday Kiran Reddy Tadipatri, Ziqing Xu +2Efficient Continual LearningContinual Learning Methods

  15. Tree of Concepts: Interpretable Continual Learners in Non-Stationary Clinical Domains

    Apr 18, 2026Dongkyu Cho, Xiyue Li, Samrachana Adhikari +1Efficient Continual LearningDecision Trees

  16. Efficient Task Adaptation in Large Language Models via Selective Parameter Optimization

    Apr 18, 2026Weijie Wan, Jiangjiang ZhaoCatastrophic ForgettingImportance

  17. Retention Consequence in Lifecycle Memory Control

    Apr 18, 2026Jiarui HanRetentionLifecycle

  18. Emergence Transformer: Dynamical Temporal Attention Matters

    Apr 18, 2026Zihan Zhou, Bo-Wei Qin, Kai Du +1EmergenceSpatial Attention

  19. AIFIND: Artifact-Aware Interpreting Fine-Grained Alignment for Incremental Face Forgery Detection

    Apr 17, 2026Hao Wang, Beichen Zhang, Yanpei Gong +5Face Forgery DetectionDomain Incremental Learning

  20. JumpLoRA: Sparse Adapters for Continual Learning in Large Language Models

    Apr 17, 2026Alexandra Dragomir, Ioana Pintilie, Antonio Barbalau +6Low-Rank Adaptation AdaptersLow-Rank Adaptation

  21. A Wasserstein Geometric Framework for Hebbian Plasticity

    Apr 17, 2026Ulrich TanSynaptic PlasticityPlasticity

  22. Self-Distillation as a Performance Recovery Mechanism for LLMs: Counteracting Compression and Catastrophic Forgetting

    Apr 17, 2026Chi Liu, Xin Chen, Xu Zhou +2Catastrophic ForgettingLatent Representation Alignment

  23. A Survey on Long-Term Memory Security in LLM Agents: Attacks, Defenses, and Governance Across the Memory Lifecycle

    Apr 17, 2026Zehao Lin, Xixuan Hao, Renyu Fu +5Threat ModelsLarge Language Model Agents

  24. HyCal: A Training-Free Prototype Calibration Method for Cross-Discipline Few-Shot Class-Incremental Learning

    Apr 17, 2026Eunju Lee, MiHyeon Kim, JuneHyoung Kwon +4Domain Incremental LearningFew-Shot Learning

  25. Why Fine-Tuning Encourages Hallucinations and How to Fix It

    Apr 16, 2026Guy Kaplan, Zorik Gekhman, Zhen Zhu +5Large Language Model HallucinationHallucinations

  26. Beyond Single-Model Optimization: Preserving Plasticity in Continual Reinforcement Learning

    Apr 16, 2026Lute Lillo, Nick CheneyEfficient Continual LearningPlasticity

  27. AIM: Asymmetric Information Masking for Visual Question Answering Continual Learning

    Apr 16, 2026Peifeng Zhang, Zice Qiu, Donghua Yu +4Knowledge-Based Visual Question AnsweringCatastrophic Forgetting

  28. CURaTE: Continual Unlearning in Real Time with Ensured Preservation of LLM Knowledge

    Apr 16, 2026Seyun Bae, Seokhan Lee, Eunho YangLarge Language Model UnlearningLarge Language Model Post-Training

  29. CI-CBM: Class-Incremental Concept Bottleneck Model for Interpretable Continual Learning

    Apr 16, 2026Amirhosein Javadi, Tuomas Oikarinen, Tara Javidi +1Efficient Continual LearningContinual Learning Methods

  30. Mistake gating leads to energy and memory efficient continual learning

    Apr 15, 2026Aaron Pache, Mark CW van RossumEfficient Continual LearningContinual Learning Methods

  31. Leveraging Complementary Embeddings for Replay Selection in Continual Learning with Small Buffers

    Apr 9, 2026Danit Yanowsky, Daphna WeinshallEfficient Continual LearningContinual Learning Methods

  32. When Sensing Varies with Contexts: Context Probing for Tactile Few-Shot Class-Incremental Learning

    Mar 26, 2026Yifeng Lin, Aiping Huang, Wenxi Liu +4Domain Incremental LearningFew-Shot Learning

  33. The Metric Slingshot: Navigational Reuse as Width-Optimal Structural Decoupling in Continual Learning

    Mar 16, 2026Xin LiHuman Visual CortexEmbodied Navigation

  34. Deconfounded Lifelong Learning for Autonomous Driving via Dynamic Knowledge Spaces

    Mar 15, 2026Jiayuan Du, Yuebing Song, Yiming Zhao +6Autonomous DrivingDriving

  35. XSkill: Continual Learning from Experience and Skills in Multimodal Agents

    Mar 12, 2026Guanyu Jiang, Zhaochen Su, Xiaoye Qu +1Multimodal AgentsReusable Skills

  36. Reinforcing the World's Edge: A Continual Learning Problem in the Multi-Agent-World Boundary

    Mar 6, 2026Dane MalenfantMulti-Agent Reinforcement LearningContinual Learning Methods

  37. Audio-Visual Continual Test-Time Adaptation without Forgetting

    Feb 20, 2026Sarthak Kumar Maharana, Akshay Mehra, Bhavya Ramakrishna +2Cross-Modal LearningState-Of-The-Art

  38. Spectral Imbalance Causes Forgetting in Low-Rank Continual Adaptation

    Jan 31, 2026Hao Gu, Mao-Lin Luo, Zi-Hao Zhou +3Efficient Continual LearningLow-Rank Adaptation

  39. Spatiotemporal Continual Federated Learning for Agentic Multi-UAV Edge Networks: Mitigating Catastrophic Forgetting

    Jan 29, 2026Chuan-Chi LaiMulti-Uav SystemsFederated Reinforcement Learning

  40. TRACE: Trajectory Recovery for Continuous Mechanism Evolution in Causal Representation Learning

    Jan 29, 2026Shicheng Fan, Kun Zhang, Lu ChengCausal Representation LearningInteraction Trajectories

  41. Knowledge-Aware Evolution for Task-Free Streaming Federated Continual Learning with Arbitrary Class Overlap

    Jan 27, 2026Sixing Tan, Xianmin LiuEfficient Continual LearningFedavg

  42. SPRInG: Continual LLM Personalization via Selective Parametric Adaptation and Retrieval-Interpolated Generation

    Jan 15, 2026Seoyeon Kim, Jaehyung KimPersonalizationEfficient Continual Learning

  43. Building Supervision into Hebbian Plasticity through Spike Agreement

    Jan 13, 2026Gouri Lakshmi S, Athira Chandrasekharan, Harshit Kumar +3Spike-Timing-Dependent PlasticityBinary Spikes

  44. When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models

    Dec 22, 2025Michael S. Zhang, Rishi A. Ruia, Arnav Kewalram +3Large Language Model QuantizationQuantization

  45. The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning

    Dec 20, 2025Xin LiEfficient Continual LearningContraction

  46. Towards Benign Memory Forgetting for Selective Multimodal Large Language Model Unlearning

    Nov 25, 2025Zhen Zeng, Leijiang Gu, Zhangling Duan +4Large Language Model UnlearningMulti-Modal Large Language Models

  47. Understanding the Staged Dynamics of Transformers in Learning Latent Structure

    Nov 24, 2025Rohan Saha, Farzane Aminmansour, Alona FysheTransformer ArchitecturesLatent Structure

  48. Parameter Importance-Driven Continual Learning for Foundation Models

    Nov 19, 2025Lingxiang Wang, Hainan Zhang, Zhiming ZhengEfficient Continual LearningWireless Foundation Models

  49. BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning

    Nov 14, 2025Lan Li, Tao Hu, Da-Wei Zhou +3Domain Incremental LearningIn-Context Learning

  50. Are Current Continual Learning Methods Truly Agnostic? Introducing OPRE, a Step Toward Agnostic Continual Learning

    Nov 11, 2025Raphaël Bayle, Martial Mermillod, Robert M. FrenchEfficient Continual LearningContinual Learning Methods

  51. Mixtures of SubExperts for Large Language Continual Learning

    Nov 9, 2025Haeyong Kang, Hee Suk Yoon, Dahua Feng +1Mixture-Of-Expert Language ModelsEfficient Continual Learning

  52. Retaining by Doing: The Role of On-Policy Data in Mitigating Forgetting

    Oct 21, 2025Howard Chen, Noam Razin, Karthik Narasimhan +1Catastrophic ForgettingForgetting

  53. Not Every Time and Frequency Need to Be Forgotten in Diffusion Unlearning

    Oct 20, 2025Jinseong Park, Mijung ParkDiscrete Diffusion ModelDiffusion Dynamics

  54. LLM Priors for ERM over Programs

    Oct 16, 2025Shivam Singhal, Priyadarsi Mishra, Eran Malach +1Empirical Risk MinimizationPrior Knowledge

  55. Distribution Preference Optimization: A Fine-grained Perspective for LLM Unlearning

    Oct 6, 2025Kai Qin, Jiaqi Wu, Jianxiang He +8Large Language Model UnlearningLarge Language Model Post-Training

  56. The Three Regimes of Offline-to-Online Reinforcement Learning

    Oct 1, 2025Lu Li, Tianwei Ni, Yihao Sun +1Offline Reinforcement LearningReinforcement Fine-Tuning

  57. Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting

    Oct 1, 2025Nouha Karaouli, Denis Coquenet, Elisa Fromont +2Time Series Foundation ModelsCatastrophic Forgetting

  58. HERMAN: Hierarchical Representation Matching for CLIP-based Class-Incremental Learning

    Sep 26, 2025Zhen-Hao Xie, Yan Wang, Lan Li +3Domain Incremental LearningIn-Context Learning

  59. OFMU: Optimization-Driven Framework for Machine Unlearning

    Sep 26, 2025Sadia Asif, Mohammad Mohammadi AmiriMachine UnlearningRetention

  60. Task-Agnostic Federated Continual Learning via Replay-Free Gradient Projection

    Sep 25, 2025Seohyeon Cha, Huancheng Chen, Haris VikaloEfficient Continual LearningContinual Learning Methods