Continual Learning

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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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  1. Continual Learning for Traversability Prediction with Uncertainty-Aware Adaptation

    Sep 15, 2026Hojin Lee, Yunho Lee, Daniel A Duecker +1TraversabilityEfficient Continual Learning

  2. CLARE: Scalable Class-Incremental Continual Learning via a Sparsity-Based Framework

    Sep 15, 2026Yunxiang Fu, Meng Lou, Zicheng Liao +1Efficient Continual Learning

  3. Smarter by the Moment: Environment-Driven Dynamic Policies for Continual LLM Improvement

    Sep 15, 2026Ting-Wei Chang, Po-Chun Chen, Hen-Hsen Huang +1Efficient Continual Learning

  4. Continuous-Time Machine Learning: A Unified Mathematical Perspective

    Sep 15, 2026Waleed Razzaq, Yun-Sheng Zhao, Yun-Bo ZhaoMachine LearningEfficient Continual Learning

  5. Mini-batch Sampling Strategies for Long-Tailed Image Classification: An Empirical Study on CIFAR-100-LT

    Sep 14, 2026Siyu YuanExtreme Class ImbalanceLong-Tailed Distribution

  6. Sylvas: Synergistic Learning Value based Device Scheduling in Federated Continual Learning

    Sep 14, 2026Yuxuan Sun, Yuxuan Bai, Tan Chen +2Efficient Continual LearningAdaptive Scheduling

  7. Pixel Decodability Is Not a Compression Signal: Causally Evaluating Importance Proxies for Visual KV-Cache Eviction

    Sep 14, 2026Chenyu Zhou, Qiliang Jiang, Shuning Wu +1Vision EncodersRetention

  8. LifeMem: Enabling Lifelong Experience Reuse for LLM Agents

    Sep 14, 2026Yuli Qiu, Yutong Li, Wei Su +5Agent MemoryLarge Language Model Agents

  9. Investigating catastrophic forgetting in sound event classification

    Sep 12, 2026Riccardo Casciotti, Annamaria MesarosClip-Based Class-Incremental LearningCatastrophic Forgetting

  10. When Synthetic Data Hurts: On Catastrophic Forgetting in Skill Retrieval for LLM Agents

    Sep 12, 2026Syed Shariyar Murtaza, Yifan Nie, Utkarsh Soni +2Agent Skill LibrariesSynthetic Training Data

  11. A Bellman Optimality Equation for Plasticity

    Sep 11, 2026Jeremy Lucas, Doina PrecupPlasticityBellman Equation

  12. Forgetting Only What Matters: Layer-Selective Unlearning toward Robust LLMs

    Sep 9, 2026Ravi Ranjan, Olivera Kotevska, Agoritsa PolyzouLarge Language Model UnlearningMachine Unlearning

  13. What Should an Agent Forget? Separating What Is Stored from What Is Used

    Sep 9, 2026Yuhang Li, Yuchen LiConversational MemoryForgetting

  14. What Eviction Destroys: A Restore-Counterfactual Audit of Forgetting in Agent Memory

    Sep 8, 2026Chen ShenEvictionAgent Memory

  15. Jacap: Robust KV Cache Eviction via Jacobian-Based Nonlinear Information Capacity Preservation

    Sep 8, 2026Jiaming Yang, Chenwei Tang, Liangli Zhen +2Key-Value Cache EvictionCatastrophic Forgetting

  16. TASTE: Throughput-Aware Batch Size Tuning for On-Device Edge Learning

    Sep 7, 2026Avik Bhatnagar, Federico Nicolas Peccia, Oliver BringmannBatch SizeParameter-Efficient Fine-Tuning Methods

  17. Constitutive State-Space Modeling of Path-Dependent Plasticity: A Resolution-Consistent and Parallelizable Computational Framework

    Sep 7, 2026Rui Barreira, Taylan Soydan, Francesco Scipione +2Continuum DynamicsState Space Models

  18. DODR: Deterministic Operator-Driven Reasoning in Latent Space

    Sep 7, 2026Weicai Huang (Beijing MQPat Technologies, Co., Ltd.)Latent ReasoningLatent Space

  19. Beyond Endpoint Scores: Time- and Capacity-Conditioned Evaluation of Continual Knowledge Updating

    Sep 3, 2026Heejin ChoiUpdatesRetention

  20. Confess What You Know: Forget-Set Misalignment with Model Knowledge in LLM Unlearning

    Sep 1, 2026Miso Kim, Georu Lee, Seungwon Jeong +1Large Language Model UnlearningForgetting

  21. Hypotheses-Guided Self Distillation for Continual Personalization

    Aug 31, 2026EunJeong Hwang, Kushan Mitra, Dan Zhang +2PersonalizationPairwise Preferences

  22. One Adapter, Many Tasks: Task-Conditioned Feature Transformations for Continual Learning

    Aug 31, 2026Yunxiang Fu, Meng Lou, Yizhou YuContinual LearningAdapters

  23. Measure Before You Manage: Evaluating Agent Working Memory in Coding Agents

    Aug 31, 2026Le Chen, Zishen Wan, Baixi Sun +6Working MemoryCoding Agents

  24. Knowing Beyond the Known: Reinforced Knowledge Specification for Multi-Label Class-Incremental Learning

    Aug 31, 2026Aoting Zhang, Dongbao Yang, Chang Liu +3Clip-Based Class-Incremental LearningCatastrophic Forgetting

  25. SELECT: SELEctive Context Transfer for Class-Incremental Semantic Segmentation

    Aug 31, 2026Avi Gupta, Saurabh Yadav, Koteswar Rao Jerripothula +1Clip-Based Class-Incremental LearningTransferable Knowledge

  26. CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain Adaptation

    Aug 31, 2026Kwangmin Ki, Yunhun Nam, Jongheon Jeong +1Large Language Model AdaptationSupervised Fine-Tuning

  27. Mycelial Search: A Graph-Structured Metaheuristic for Continuous Optimisation

    Aug 24, 2026Mohammad Mahdi DehshibiMetaheuristicsJoint Optimization

  28. What to Preserve, Where to Adapt: A Depth-Wise Analysis of Forgetting in Continual Gynecological Image Segmentation

    Aug 13, 2026Amal Saqib, Tausifa Jan Saleem, Numan Saeed +1Catastrophic ForgettingMedical Image Segmentation

  29. Mind the Context: Continual Learning of Socially Appropriate Robot Actions via Environmental-Social Disentanglement

    Aug 13, 2026Rafal Robert Karpinski, Fethiye Irmak Dogan, Nikhil Churamani +4Scalable Robot LearningRobots

  30. Behavioral Reprogramming of Open-Weights Models: Cognitive Plasticity and Alignment Bounds

    Aug 13, 2026Lucia MalíčkováAI Behavior AnalysisPlasticity

  31. Uniform Herding: Exemplar Replay with Representation Refresh

    Aug 13, 2026Krishna SubediRetrainingForgetting

  32. Incremental Evaluation and Training in Relational Deep Learning

    Aug 13, 2026Jakub Peleška, Gustav ŠírEfficient Continual LearningRelational

  33. Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning

    Aug 13, 2026Zeyang Zhang, Tieliang Gong, Junyan Lu +1Efficient Continual LearningPlasticity

  34. AWARe: Mitigating Catastrophic Forgetting via Activation-Weighted Adaptive REtention

    Aug 12, 2026Juncheng Liao, Jinfan Lv, Guoming Wang +3Catastrophic ForgettingLarge Multimodal Models

  35. Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning

    Aug 12, 2026Tieliang Gong, Zhongbo Zhang, Wen Wen +1Catastrophic ForgettingContinual Learning

  36. Why Does CLAUDE.md Keep Growing? Catastrophic Remembering in Agentic Coding

    Aug 11, 2026Kushal ChakrabartiCoding AgentsAgent Memory

  37. BPG: Balancing Plasticity and Generalization for Domain Incremental Learning

    Aug 11, 2026Qiang Wang, Songlin Dong, Shaokun Wang +5Clip-Based Class-Incremental LearningParameter-Efficient Adaptation

  38. Quantum Incremental Learning with Mixed State Prototypes

    Aug 11, 2026Yu Wu, Qianli Zhou, Xinyang Deng +3Quantum Neural NetworksClip-Based Class-Incremental Learning

  39. Sequential Modality Dropout for Robust Multi-Modal Sequential Recommendation

    Aug 10, 2026Guanqun Yang, Wenlong ZhangDropoutRecommendation

  40. Macaron-V1: Towards Open Continual Learning with Self-Improvement and Mixture-of-LoRA

    Aug 10, 2026Mind Lab, :, Vin Bo +74Efficient Continual LearningContinual Learning

  41. Hyperbolic Multimodal Continual Learning

    Aug 10, 2026Jiahong Liu, Ming Shen, Xiaohao Liu +4Hyperbolic LearningEfficient Continual Learning

  42. Agentic Router: An Execution-Grounded Continual Learning Approach With Memory

    Aug 10, 2026Yuxuan Chen, Rongpeng Li, Zhifeng Zhao +3Qwen3Answer Generation

  43. Catastrophic Forgetting in Continual Reinforcement Learning

    Aug 9, 2026Emma GrahamCatastrophic ForgettingForgetting

  44. The Neural Division of Labor: Biologically-Inspired Modular Architectures for Robust Neuromorphic Computing

    Aug 8, 2026Maksim Bazhenov, Serafim Grubas, Vakhtang PutkaradzeSpiking Neural NetworksNeuromorphic Hardware

  45. NeuroGuard: Neural Gradient Update Aware of Representation Damage

    Aug 8, 2026Taigo Sakai, Kazuhito HottaClip-Based Class-Incremental LearningHeterogeneous Knowledge Distillation

  46. Explicit, Not Longer: What Makes Epistemic Stance Survive Memory Compression

    Aug 7, 2026Alex KwonRetentionAgent Memory

  47. Continual Learning in Transition

    Aug 6, 2026Zhiyan Hou, Dan Zhang, Tao Feng +11Continual LearningTransitions

  48. STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models

    Aug 6, 2026Songpan Gao, Yajie Zhang, Guanxing Chen +9Clip-Based Class-Incremental LearningMedical Imaging

  49. An active-learning framework for real-time depth perception from monocular vision streams

    Aug 5, 2026Xiaorong Zeng, Weiqiang Chen, Peng Shi +4Depth EstimationActive Learning

  50. Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations

    Aug 5, 2026Xujia Chen, Xinyue Hu, Letian Chen +2Conventional Physics-Informed Neural NetworksPartial Differential Equations

  51. Suppression Sticks, Locality Is Fragile: A Closed-Loop Target-and-Control Audit of Task-Vector Negation in VLA Policies

    Aug 5, 2026Shaoguang Wang, Weiyu Guo, Rushi Dai +3Diffusion-Based Vision-Language-ActionsVisuomotor Control

  52. MAGIC-SSCIL: Manifold Anchoring and Geometric Incremental Calibration for Semi-Supervised Class Incremental Learning

    Aug 5, 2026Yousef Abdi, Mohammad Asadpour, Yousef SeyfariClip-Based Class-Incremental LearningSemi-Supervised Learning

  53. A Model Merging Approach for Continual MLLM Unlearning

    Aug 5, 2026Yuhang Wang, Linlin Zhang, Haoxuan Ji +3Large Language Model UnlearningLarge Multimodal Models

  54. NeuMoSync: End-to-End Neuromodulatory Control for Plasticity and Adaptability in Continual Learning

    Aug 5, 2026Seyed Roozbeh Razavi Rohani, Khashayar Khajavi, Wesley Chung +2Efficient Continual LearningPlasticity

  55. ATLAS: Adaptive Topological Learning with Abstract Successors for Continual Learning

    Aug 5, 2026R. Blake Lawlor, Daniel S. BrownModel-Free Reinforcement LearningContinual Learning

  56. Omega-S: A Functional Resilience Index for LLM Fine-Tuning

    Aug 4, 2026Alberto AcedoLarge Language Model Fine-TuningRetention

  57. Does Forgetting Transfer Across Modalities? A Real-World Benchmark for Cross-Modal Knowledge Unlearning Evaluation

    Aug 4, 2026Chunlin Liu, Junnian Chen, Haitong Jiang +7Large Language Model UnlearningCross-Modal

  58. Design-Time Optimization of Deep Neural Networks for Intermittent Learning on Microcontrollers

    Aug 4, 2026Jakob Schubert, Maximilian Kasper, Maximilian Linke +5MicrocontrollersDeep Neural Network

  59. Distractor-Aware Truncation: Disentangling Context-Length Effects from Signal Loss in Long-Context LLM Benchmarks

    Aug 4, 2026Mohsen ArjmandiContext LengthRetrieval Benchmarks

  60. Scalable Frequency- and Length-Aware Subdocument Deduplication for Large Language Model Pretraining

    Aug 4, 2026Hai Wang, Chenhao Wang, Qifeng Cai +6Semantic DeduplicationRepetition