Continual Learning

Ask about this field

Recent momentum

emerging

0 papers in the last 28 days · 0.0% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Weekly history

Recent digests

What was published in this field, kept on the site without email delivery.

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.

Inside this field

Focused directions

620 papers

Latest in Continual Learning

Browse all topics →
CardsList

  1. Catastrophic Forgetting in Continual Reinforcement Learning

    Aug 9, 2026Emma GrahamCatastrophic ForgettingForgetting

  2. A continually expandable foundation model for brain MRI

    Aug 8, 2026Michail Mamalakis, Carmen Jimenez-Mesa, Yonghao Li +8Brain Magnetic Resonance ImagingBrain

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

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

  4. NeuroGuard: Neural Gradient Update Aware of Representation Damage

    Aug 8, 2026Taigo Sakai, Kazuhito HottaDomain Incremental LearningKnowledge Distillation

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

    Aug 7, 2026Alex KwonRetentionAgent Memory

  6. Stockmark-Nemotron-3-Nano-Omni-JapanDocReader: Structured Document Parsing via Capability Injection and Forgetting Control

    Aug 7, 2026Shi Chen, Hayato Aida, Makoto Morinaga +2Multimodal DocumentsStructure-Aware

  7. Continual Learning in Transition

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

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

    Aug 6, 2026Songpan Gao, Yajie Zhang, Guanxing Chen +9Domain Incremental LearningMedical Imaging

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

    Aug 5, 2026Xiaorong Zeng, Weiqiang Chen, Peng Shi +4Depth EstimationMobilenetv2

  10. 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

  11. 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 +3Pretrained Vision-Language-ActionVisuomotor Control

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

    Aug 5, 2026Yousef Abdi, Mohammad Asadpour, Yousef SeyfariDomain Incremental LearningSemi-Supervised Learning

  13. 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

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

    Aug 5, 2026R. Blake Lawlor, Daniel S. BrownModel-Free Reinforcement LearningSuccessor Representations

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

    Aug 4, 2026Alberto AcedoLarge Language Model Fine-TuningModel Weights

  16. ContinualSkillBench: Can LLM Agents Truly Evolve Their Capabilities?

    Aug 4, 2026Tianyi Guan, Yiding Wang, Haotong Yang +5Skill EvolutionLarge Language Model Agents

  17. 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 Learning

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

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

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

    Aug 4, 2026Mohsen ArjmandiContext LengthLarge Language Model Memory

  20. LiveMem: Maintaining Memory State Continuity in Long-Running LLM Inference

    Aug 3, 2026Zhichen Liu, Ruihan Sun, Hengjie Yang +4Persistent StateMemdefrag

  21. Learning What to Remember: Test-Time Training via Context Distillation

    Aug 3, 2026Zixuan Wang, Xingyu Dang, Rui-Jie Zhu +4Efficient Long-Context InferenceEfficient Continual Learning

  22. UCBound-Net: Uncertainty-Guided Boundary-Aware Continual Learning for Domain-Incremental Ultrasound Segmentation

    Aug 2, 2026Mohammad Amanour RahmanMedical Image SegmentationUltrasound

  23. Plasticity of Growing and Elastic Neural Networks in Online Continual Learning

    Aug 2, 2026Jeong Min Kong, Richard S. SuttonPlasticityEfficient Continual Learning

  24. Two-Stage Bengali Sentiment Classification: Domain Adaptation Through Continual Learning and Parameter-Efficient Fine-Tuning

    Aug 2, 2026MD Shaikh Rahman, Syed Maudud E Rabbi, Muhammad Mahbubur RashidDomain-Adaptation BenchmarkBangla

  25. SphereVideo: Prototype-anchored Hyperspherical Boundary for Continual AI-generated Video Detection

    Aug 2, 2026Fei Li, Yue Yu, Yuran Wang +3Ai-GeneratedSphere

  26. Remember-R1: Mitigating Long-Context Visual Forgetting through Reinforcement Learning

    Aug 2, 2026Jianmin Chen, Jiaqi Tang, Wei Wei +9Latent Visual ReasoningCatastrophic Forgetting

  27. AdaHAT: Adaptive Hard Attention to the Task in Task-Incremental Learning

    Aug 2, 2026Pengxiang Wang, Hongbo Bo, Jun Hong +2Catastrophic ForgettingUnseen-Task Adaptation

  28. SAFE-Merge: Data-Free Continual Model Merging with General Knowledge Preservation

    Aug 2, 2026Zihuan Qiu, Zhiyang Liao, Chiyuan He +5Continual Model MergingEfficient Continual Learning

  29. Lethe: How Hard Is It to Forget? A Benchmark for Federated Unlearning in Medical Imaging

    Aug 2, 2026Shengchao Chen, Ting ShuFederated LearningMedical Imaging

  30. Toward Fine-Grained Forgetting:Attribute Unlearning for Multimodal Large Language Models

    Aug 2, 2026Junkai Lin, Junkai Chen, Siqi Hou +5Large Language Model UnlearningMulti-Modal Large Language Models

  31. Relative Parameter Importance in Task-Agnostic Replay-Free Continual Learning

    Aug 1, 2026Malavika Suresh, Ikechukwu Nkisi-Orji, Nirmalie WiratungaEfficient Continual LearningContinual Learning Methods

  32. Unleashing the Potential of Large Language Models: A Blueprint for Real-Time, Enterprise-Ready Deployments

    Aug 1, 2026Muhammad Faizan Raza, Shuo, Yang +2Large Language Model ServingReal-Time Systems

  33. DSETA: A Dual-Stage Continual Learning Framework for Travel Time Prediction in Dynamic Traffic Environments

    Aug 1, 2026Yanming Lyu, Yue Cheng, Lingkun Li +4Accurate Traffic ForecastingTraffic

  34. TOOD: Task-Aware Out-of-Distribution Score Calibration for Continual Learners

    Jul 31, 2026Mostafa ElAraby, Samer B. Nashed, Liam PaullOut-Of-Distribution DetectionEfficient Continual Learning

  35. Lost in Compaction: Evaluating Side-Constraint Loss under Context Compaction

    Jul 31, 2026Zhiqi Wang, Yichi Zhang, Dongwon Lee +1CompactionRetention

  36. The Grokked Illusion: True Equilibrium Mitigates Catastrophic Forgetting

    Jul 31, 2026Xiaotian Zhang, Lai Shun Chan, Yue Shang +2Catastrophic ForgettingLoss Landscape

  37. Retrofitting Recurrent Depth into a Pretrained Language Model: Installation, Extrapolation, Transfer, and Retention at Two Parameter Budgets

    Jul 31, 2026Mark ShapiroLarge Language Model PretrainingRecurrent Model

  38. When Unlearning Fails: Reliable Data Deletion under Post-Training in Agent Networks

    Jul 30, 2026Zihao Ding, Jun Huang, Liang DongFederated Reinforcement LearningRetraining

  39. Best Friends, Not Forever: Evaluating Long-Horizon Persona Collapse and Behavioral Drift in AI Companions

    Jul 30, 2026Pranav Narayanan Venkit, Akshara Prabhakar, Yu Li +2Artificial Intelligence CompanionsPeers

  40. Beyond Binary Rewards: A Comparative Study of Reward Design for Reinforcement Unlearning

    Jul 30, 2026Efstratios Zaradoukas, Davide Gabrielli, Bardh Prenkaj +1Reasoning-Aware RewardCatastrophic Forgetting

  41. S-CEReBrO: Breaking the Memory Barrier in Continuous EEG Monitoring

    Jul 30, 2026Glenn Anta Bucagu, Thorir Mar Ingolfsson, Yawei Li +1Electroencephalography Spatial Super-ResolutionEfficient Continual Learning

  42. DECODE: Tackling Representation and Decision Degradation in Continual AI-Generated Image Detection

    Jul 30, 2026Zihao Cai, Xinghan Li, Ruiyan Yang +3Ai-Generated Image DetectionDigital Forensics

  43. FedOGL: Combating Catastrophic Forgetting in Federated Open-World Multimodal Graph Learning

    Jul 30, 2026Zekai Chen, Haodong Lu, Shihao Li +5Federated Graph LearningCatastrophic Forgetting

  44. First-order Constrained Trilevel Optimization Over Distributed Networks for Robust Coreset Selection

    Jul 30, 2026Yang Jiao, Kaixuan Jiao, Kai Yang +4Geometry-Aware Uncertainty CoresetsRobust Optimization

  45. Progressive Multimodal Alignment for Continual Instruction Tuning

    Jul 29, 2026Duzhen Zhang, Yahan Yu, Qiaoyi Su +2Multimodal Instruction TuningMultimodal Alignment

  46. The Kinetics of Training: A Driven-Nucleation Rate Law for Emergence, Plasticity Loss, and Circuit Control in Language Models

    Jul 29, 2026Lei DongPlasticityCircuits

  47. The Art of Not Forgetting A Local Learning Architecture for Continual Learning

    Jul 29, 2026Ashmith Atmuri, Yashaswini Rao BhogarajulaCatastrophic ForgettingContinual Learning Methods

  48. Regularizing modality contribution drift in multimodal continual learning

    Jul 29, 2026Zhen Zhang, Jielei Chu, Bin Liu +1Robust Multimodal LearningEfficient Continual Learning

  49. ForgetBench: Benchmarking Forgetting Dynamics of Long-Term Parametric Memory in Language Models

    Jul 29, 2026Ruxi Gu, Zhenliang Zhang, Wei WangLarge Language Model MemoryCatastrophic Forgetting

  50. Multi-Scale Structural Features for Continual, Comprehensible Visual Recognition in a Developmental Learning Framework

    Jul 28, 2026Zeki Doruk ErdenEfficient Continual LearningMultiscale

  51. Addressable Recall Compaction for Long Context-Window Control in AI Agents

    Jul 27, 2026Thang Dang, Yuma Ichikawa, Sakina Fatima +1Agent MemoryCompaction

  52. Calibrated Partial Resets: Preventing Policy Collapse in Continual Reinforcement Learning

    Jul 27, 2026Luc McCutcheon, Evangelos Chatzaroulas, Saber FallahEfficient Continual LearningPlasticity

  53. DrainSinkhorn: Safe Elimination for Batched Entropic Optimal Transport

    Jul 27, 2026Xinyang WenSinkhornOptimal Transport

  54. Continual-RL for Generalization in Autonomous Racing on the RoboRacer Platform

    Jul 27, 2026Joel Siegert, Edoardo Ghignone, Michele MagnoAutonomous RacingIterative Reinforcement Learning

  55. Not Forgotten: Implementation and Evaluation of a Personalized Episodic Memory for the Humanoid Robot Head Kim

    Jul 27, 2026Steve Aschenbrenner, Marcel Heisler, Thomas Sievers +1Episodic MemoryForgetting

  56. Adaptive Data Admission and Retention for Streaming Federated Learning

    Jul 27, 2026Zhuoyi Zhao, Ben LiangFederated LearningLearning-Augmented Algorithms

  57. Latent-LoRA: Compact Latent-Space Adapters with Gradient-Free Routing for Continual Learning

    Jul 26, 2026Reza Rahimi Azghan, Gautham Krishna Gudur, Giulia Pedrielli +2Efficient Continual LearningLow-Rank Adaptation Adapters

  58. The Intruder Threshold: A Spectral Law for LoRA Fine-Tuning

    Jul 26, 2026Peng XieLow-Rank AdaptationCatastrophic Forgetting

  59. Breaking the Synthetic-Real Domain Shortcut for Training-Free Generative Replay-based Class Incremental Learning

    Jul 25, 2026Tao Zhang, Qixuan Fan, Yiyuan Liang +7Domain Incremental LearningSynthetic-To-Real Domain Gap

  60. Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions

    Jul 24, 2026Quyen Tran, Hai Nguyen, Quan Dao +4Domain Incremental LearningRegularization Techniques