Incremental Learning

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13 papers in the last four weeks, up 63% on the four weeks before. 0.1% of all new papers.

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  1. CoDe-LoRA: Mitigating the Orthogonality Dilemma in Continual Learning of LLMs via Knowledge Consolidation and Decoupling

    Oct 6, 2026Maoqi Liu, Quan Fang, Yufei HeContinual Learning for LLMsLow-Rank Adaptation

    Beijing University of Posts and Telecommunications · National University of Singapore

  2. HiER-BLS: A Hierarchy-Guided and Error-Correcting Robust Incremental Broad Learning System

    Oct 5, 2026Gongli Zhang, C. L. Philip Chen, Zhulin LiuHierarchical Representation LearningNeural Network Robustness

    Guangdong Provincial Key Laboratory of Computational AI Models and Cognitive Intelligence, the School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China, also with the Pazhou Lab, Guangzhou 510335, China, and also with the Engineering Research Center of the Ministry of Education on Health Intelligent Perception and Paralleled Digital-Human, Guangzhou 510641, China

  3. Width Expansion as a Method for Class Incremental Learning

    Sep 29, 2026A. L. S. Conde, Y. Elkhatib, C. M. RanieriClass-Incremental LearningDynamic Neural Networks

    Institute of Geosciences and Exact Sciences, São Paulo State University (UNESP), Av. 24-A, 1515, Rio Claro, 13506-692, SP, Brazil · School of Computing Science, University of Glasgow, Glasgow, G12 8QQ, Scotland, United Kingdom

  4. Learning as Deepfakes Evolve: RF-Prompt for Continual Audio Deepfake Detection

    Sep 29, 2026Yuankun Xie, Xiaoxuan Guo, Xiaopeng Wang +3Audio Deepfake DetectionPrompt Learning

    The Hong Kong Polytechnic University, Hong Kong SAR, China · Communication University of China, Beijing, China · Beijing Institute of Technology, Beijing, China

  5. Normative Loss Landscape Navigation: A Trajectory-Based Approach to Mitigating Forgetting in Incremental Learning

    Sep 28, 2026Isabelle Aguilar, Zayn Andre Zainal, Luis Fernando Herbozo Contreras +2Class-Incremental LearningIncremental Learning

  6. Re:Cognize -- Open-Set Comic Character Re-Identification

    Sep 27, 2026Aaditya Baranwal, Madhav Kataria, Yogesh S Rawat +1Self-TrainingOpen-Set Recognition

    Institute of Artificial Intelligence, University of Central Florida, Orlando, FL, USA · University of Central Florida

  7. A Lightweight Plastic-Memory Framework for Graph Few-Shot Class-Incremental Learning

    Sep 22, 2026Zihan Mei, Zhili Qin, Tongze Zhang +3Class-Incremental LearningFew-Shot Learning

    University of Electronic Science and Technology of China

  8. Lightweight Ranking Heads: Accelerating Multi-Task Experimentation in Production Recommender Systems

    Sep 21, 2026Sanjay Surendranath Girija, Aniruddh Nath, Li Wei +6Learning to RankMulti-Task Learning

    Google LLC Mountain View, CA, USA

  9. Muon Can Outperform Dedicated Continual Learning Methods

    Sep 21, 2026Sebastian George Sincari, Bogdan Alexandru Gheorghe, Antonio BarbalauContinual LearningMuon Optimizer

    Faculty of Mathematics and Computer Science, University of Bucharest, Bucharest, Romania · Faculty of Mathematics and Computer Science University of Bucharest Bucharest, Romania · Bitdefender, Bucharest, Romania +1

  10. MECAIL: Communication-Aware Incremental Learning for Object Detection with 14.6 KB Spatiotemporal Experts

    Sep 21, 2026Matthias Neuwirth-Trapp, Maarten Bieshaar, Danda Paudel +3Intelligent Transportation SystemsMixture of Experts

    ETH Zurich, Zurich, Switzerland. · Bosch Research, Hildesheim, Germany. · INSAIT, Sofia University “St. Kliment Ohridski”, Sofia, Bulgaria.

  11. Uncertainty-Aware Continual Learning for Open-World Intent Discovery Under an evolving Label Space

    Sep 15, 2026Pisante Aida, Formentin SimoneContinual LearningIncremental Learning

    Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy.

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

    Sep 15, 2026Yunxiang Fu, Meng Lou, Zicheng Liao +1Class-Incremental LearningContinual Learning

    School of Computing and Data Science, The University of Hong Kong · Hong Kong Generative AI Research and Development Center

  13. Investigating catastrophic forgetting in sound event classification

    Sep 12, 2026Riccardo Casciotti, Annamaria MesarosClass-Incremental LearningIncremental Learning

    Signal Processing Research Center Tampere University Tampere, Finland

  14. Learning Orthogonal Multi-Index Models Beyond Small Initialization: Incremental Learning, Competitive Dynamics and Symmetry

    Sep 11, 2026Mo Zhou, Weihang Xu, Simon S. Du +1Shallow Neural NetworksOrthogonal Representation Learning

    University of Washington · Amazon, Inc.

  15. Hyperbolic Geometry for Open-World Object Detection in Remote Sensing Imagery

    Sep 10, 2026Wuzhou Li, Jiawei Zhou, Shenghang Wang +1Open-Vocabulary Object DetectionContinual Learning

    School of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan 430072, China · Electronic Information School, Wuhan University, Wuhan 430072, China · Electrical and Computer Engineering, Ohio State University, Columbus, OH, USA +1

  16. Local Updates, Global Learning (LUGL): Playing Games with non-incremental Learners

    Sep 3, 2026David Milec, Spyridon Samothrakis, Michael Fairbank +1Gradient-Boosted Decision TreesGame-Playing Agents

    Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic · School of Computer Science and Electronic Engineering, University of Essex, Colchester, United Kingdom · Maastricht University, the Netherlands

  17. A Sensor-Adaptive Incremental Learning Framework for Artifact Detection in Satellite Precipitation Data

    Sep 1, 2026Andres F. Monsalve, Hernan A. Moreno, Christian D. KummerowRemote SensingIncremental Learning

    University of Texas at El Paso, El Paso, TX, USA · Colorado State University, Fort Collins, CO, USA

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

    Aug 31, 2026Yunxiang Fu, Meng Lou, Yizhou YuClass-Incremental LearningIncremental Learning

    School of Computing and Data Science The University of Hong Kong

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

    Aug 31, 2026Aoting Zhang, Dongbao Yang, Chang Liu +3Class-Incremental LearningMulti-Label Classification

    Institute of Information Engineering, Chinese Academy of2026 Sciences, Beijing, 100085, China · School of Cyber Security, University of Chinese Academy ofAug Sciences, Beijing, 101408, China · Nankai University, Tianjin, 300350, China +1

  20. In-Cell Learning: Language Models That Update Their Own Weights in Sequence Without Changing the File They Ship

    Aug 21, 2026Zifeng Liu, Yaxin Lu, Xuanhan Wu +6LLM QuantizationKnowledge Editing

    Big Data and Artificial Intelligence Center, The Third Affiliated Hospital of Sun Yat-sen University · Institute for Frontier Interdisciplinary Research in Health Sciences and Technology, Sun Yat-sen University · Sun Yat-sen University Institute of Artificial Intelligence +7

  21. Uniform Herding: Exemplar Replay with Representation Refresh

    Aug 13, 2026Krishna SubediClass-Incremental LearningReplay-Based Continual Learning

    Neryva

  22. Incremental Evaluation and Training in Relational Deep Learning

    Aug 13, 2026Jakub Peleška, Gustav ŠírConcept DriftOnline Continual Learning

    Czech Technical University in Prague

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

    Aug 11, 2026Qiang Wang, Songlin Dong, Shaokun Wang +5Domain-Incremental LearningIncremental Learning

    College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China · Shenzhen University of Advanced Technology, Shenzhen, China · Harbin Institute of Technology, Shenzhen, China +1

  24. NeuroGuard: Neural Gradient Update Aware of Representation Damage

    Aug 8, 2026Taigo Sakai, Kazuhito HottaClass-Incremental LearningAdaptive Loss Weighting

    Meijo University, 1-501 Shiogamaguchi, Tempaku-ku, Nagoya 468-8502, Japan

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

    Aug 5, 2026Yousef Abdi, Mohammad Asadpour, Yousef SeyfariClass-Incremental LearningIncremental Learning

    Faculty of Electrical and Computer Engineering, Universityof Tabriz, Tabriz, Iran · Faculty of Engineering, University of Maragheh, Maragheh,Iran

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

    Aug 5, 2026Seyed Roozbeh Razavi Rohani, Khashayar Khajavi, Wesley Chung +2Class-Incremental LearningDynamic Neural Networks

    Department of Computer Science Simon Fraser University · Department of Computer Science McGill Univeristy, Mila - Quebec AI Institute

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

    Aug 2, 2026Jeong Min Kong, Richard S. SuttonLoss of PlasticityDynamic Neural Networks

    Department of Electrical and Computer Engineering University of California, Los Angeles (UCLA) · Department of Computing Science University of Alberta Alberta Machine Intelligence Institute (Amii)

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

    Aug 2, 2026Pengxiang Wang, Hongbo Bo, Jun Hong +2Stability-Plasticity DilemmaIncremental Learning

    School of Mathematical Sciences, Peking University, Beijing, China · Population Health Sciences Institute, Newcastle University, Newcastle, UK · School of Engineering Mathematics and Technology, University of Bristol, Bristol, UK +1

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

    Aug 1, 2026Malavika Suresh, Ikechukwu Nkisi-Orji, Nirmalie WiratungaClass-Incremental LearningDomain-Incremental Learning

    Robert Gordon University

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

    Jul 29, 2026Ashmith Atmuri, Yashaswini Rao BhogarajulaMemory-Augmented Neural NetworksContinual Learning

    Arkadhi Research

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

    Jul 28, 2026Zeki Doruk ErdenClass-Incremental LearningIncremental Learning

    Sabanci University, Istanbul, Turkey

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

    Jul 26, 2026Reza Rahimi Azghan, Gautham Krishna Gudur, Giulia Pedrielli +2Continual Learning for LLMsIncremental Learning

    College of Health Solutions, Arizona State University, Phoenix, Arizona, USA · Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas, USA · School of Computing and Augmented Intelligence, Arizona State University, Tempe, Arizona, USA +1

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

    Jul 25, 2026Tao Zhang, Qixuan Fan, Yiyuan Liang +7Class-Incremental LearningSynthetic-to-Real Domain Adaptation

    Huazhong University of Science and Technology, Wuhan, China · State Key Laboratory of Multispectral Information Intelligent Processing Technology, Wuhan, China · University of Science and Technology of China, Anhui, China +1

  34. Alleviating Regional Shortcuts for Few-Shot Class-Incremental Learning

    Jul 24, 2026Haichen Zhou, Yazhe Lyu, Yixiong Zou +2Class-Incremental LearningIncremental Learning

    School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China

  35. The Art of Not Forgetting

    Jul 20, 2026Ashmith Atmuri, Akshay Kumar, Yashaswini Rao BhogarajulaMemory-Augmented Neural NetworksDomain-Incremental Learning

    Arkadhi Labs

  36. Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning

    Jul 20, 2026Kai Jiang, Zisong Lin, Hongyuan Zhang +2Class-Incremental LearningMetric Learning

    National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China · The University of Hong Kong, Hong Kong SAR, China · Institute of Artificial Intelligence (TeleAI) of China Telecom, China

  37. Breaking the Model Forgetting Cycle in Long-Incremental 3D Object Detection

    Jul 16, 2026Peisheng Qian, Jie Xu, Xulei Yang +1Class-Incremental Learning3D Object Detection

    Singapore University of Technology and Design · Institute for Infocomm Research, A*STAR, Singapore

  38. Can a Language Model Learn Facts Continually in Its Weights?

    Jul 13, 2026Charles O'Neill, Max Kirkby, Jonathon Liu +1Knowledge EditingContinual Learning for LLMs

    Baseten

  39. CLIMB: Centroid-Based Hierarchical Memory for Online Continual Self-Supervised Learning

    Jun 30, 2026Julien Lefebvre, Stefan Duffner, Mathieu LefortSelf-Supervised LearningReplay-Based Continual Learning

    Universite Claude Bernard Lyon 1, CNRS, INSA Lyon, LIRIS, UMR 5205, 69622 Villeurbanne, France · INSA Lyon, CNRS, Universite Claude Bernard Lyon 1, LIRIS, UMR 5205, 69621 Villeurbanne, France · Universite Claude Bernard Lyon 1 / Univ. Rennes, Inria, CNRS, LIRIS UMR 5205 / IRISA UMR 6074, France

  40. Prototype Latent World Model Replay for Class-Incremental Learning

    Jun 28, 2026Weizhi Nie, Hui Wang, Weijie Wang +1Class-Incremental LearningReplay-Based Continual Learning

    Tianjin University

  41. Fisher-Routed Mixture of Experts for Federated Class-Incremental Learning

    Jun 27, 2026Wenhao Yuan, Chenchen Lin, Jian Chen +3Class-Incremental LearningFederated Continual Learning

    Department of Electrical and Computer Engineering, The University of Hong Kong, Hong Kong SAR, China · School of Artificial Intelligence, Sun Yat-sen University, China.

  42. When One Adapter Speaks for Many: Discovering Low-Rank Redundancy in Continual Fine-Tuning

    Jun 26, 2026Tanguy Dieudonné, Giulia Lanzillotta, Enis Simsar +2Continual LearningLow-Rank Adaptation

    Department of Computer Science, ETH Zurich, Zurich, Switzerland.

  43. Data-Free Reservoir Features for Efficient Long-Horizon Cold-Start Continual Learning

    Jun 25, 2026Augustinas Jučas, Yangchen PanClass-Incremental LearningContinual Learning

    Department of Computer Science University of Oxford · Department of Engineering Sciences University of Oxford

  44. Geometry-Anchored Transport Framework for Exemplar-Free Class-Incremental Learning

    Jun 24, 2026Hongye Xu, Bartosz KrawczykClass-Incremental LearningIncremental Learning

    Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, NY 14623, USA

  45. Incremental Learning in Mirror Flows

    Jun 22, 2026Raphaël Berthier, Loucas Pillaud-VivienContinual LearningMirror Descent

    Sorbonne Université, Inria, Centre Inria de Sorbonne Université, Paris, France · CERMICS, CNRS, ENPC, Institut Polytechnique de Paris, Marne-la-Vallée, France

  46. Black-Box Continual Learning for Vision-Language Models

    Jun 22, 2026Yuting Li, Weihang Fang, Haoyuan Gao +4Incremental LearningContinual Learning for VLMs

    School of Computer Science, Shanghai Jiao Tong University, Shanghai, China · School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, China · State Key Laboratory of General Artificial Intelligence, Beijing Institute for General Artificial Intelligence (BIGAI), Beijing, China +2

  47. Domain-incremental audio classification using domain-specific experts and prototype classifier

    Jun 22, 2026Jongyeon Park, Do-Hyeon Lim, Sang-won Park +4Generative ReplayDomain-Incremental Learning

    Dept. of AI Convergence, Gwangju Institute of Science and Technology, Gwangju 61005, Korea · Dept. of EECS, Gwangju Institute of Science and Technology, Gwangju 61005, Korea · AI Lab., R&D Center, Hanwha Vision, Seongnam-si, Gyeonggi-do 13488, Korea

  48. Towards Whole Hand and Wrist Kinematic Tracking with a Wearable A-Mode Ultrasound Probe

    Jun 21, 2026Giusy Spacone, Luca Benini, Andrea CossettiniWearable SensingIncremental Learning

    Integrated Systems Laboratory, ETH Zurich, Zürich, Switzerland · DEI, University of Bologna, Bologna, Italy

  49. Continual Self-Improvement with Lightweight Experiential Latent Memories

    Jun 16, 2026Vaggelis Dorovatas, Nancy Kalaj, Rahaf AljundiContinual Learning for LLMsMemory-Augmented Language Models

    Toyota Motor Europe · University of Trento

  50. When Generator Replay Degrades: Projected Rehearsal Orchestration for Heterogeneous Federated Class-Incremental Learning

    Jun 14, 2026Thinh T. H. Nguyen, Khoa D. Doan, Binh T. Nguyen +2Class-Incremental LearningFederated Continual Learning

    VinUniversity, Hanoi, Vietnam · VNU-HCM, University of Science, Ho Chi Minh City, Vietnam · Technische Universität Berlin, Germany

  51. Focus, Align, and Sustain: Counteracting Gradient Dilution in Incremental Object Detection

    Jun 13, 2026Aoting Zhang, Dongbao Yang, Chang Liu +2Class-Incremental LearningDetection Transformer

    Institute of Information Engineering, Chinese Academy of Sciences · School of Cyber Security, University of Chinese Academy of Sciences · Nankai University +2

  52. ECA: Efficient Continual Alignment for Open-Ended Image-to-Text Generation

    Jun 10, 2026Jiangtao Kong, Peijun Zhao, Chun-Fu Chen +4Large Vision-Language ModelsIncremental Learning

    Department of Computer Science, William & Mary, Virginia, USA · Global Technology Applied Research, JPMorgan-Chase, USA · Mohamed bin Zayed University of Artificial Intelligence, Masdar City, Abu Dhabi

  53. Listen, Look, and Learn: Learning Without Forgetting through SAM-Audio

    Jun 9, 2026Avi Gupta, Nilotpal Sinha, Vishnu Raj +4Class-Incremental LearningAudio-Visual Representation Learning

    IIIT Delhi · Dolby Laboratories · IIT Kanpur +1

  54. HydraCIL: Decoupled Class-Incremental Learning through Prototype-Guided Multi-Head Classifiers

    Jun 8, 2026Daniel Vila-Cruz, Laura Morán-Fernández, Verónica Bolón-CanedoClass-Incremental LearningEnergy-Efficient ML

    Universidade da Coruña CITIC A Coruña, Spain

  55. Two-Way Is Better Than One: Bidirectional Alignment with Cycle Consistency for Exemplar-Free Class-Incremental Learning

    Jun 4, 2026Hongye Xu, Bartosz KrawczykClass-Incremental LearningPrototype-Based Classification

    Chester F. Carlson Center for Imaging Science · Rochester Institute of Technology

  56. Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning

    Jun 3, 2026Fan Zhang, Sijin Zheng, Fei Ma +4Class-Incremental LearningRemote Sensing

    School of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China · School of Information Science and Technology and the Interdisciplinary Research Center for Artificial Intelligence, Beijing University of Chemical Technology, Beijing 100029, China · Beihang University, Beijing 100191, China +1

  57. Weakly Supervised Incremental Segmentation via Semantic Anchors and Spatial Arbitration

    Jun 2, 2026Zhonggai Wang, Kai Fang, Guangyu GaoClass-Incremental LearningWeakly Supervised Image Segmentation

    School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China

  58. Combining Statistical Features and Deep Encodings for Rehearsal-Based Class-Incremental Time Series Classification

    Jun 2, 2026Pablo García-Santaclara, Bruno Fernández-Castro, Rebeca Pilar Díaz-RedondoClass-Incremental LearningMultivariate Time Series Classification

    atlanTTic – ICLAB, Universidade de Vigo, Vigo 36310, Spain · Centro Tecnolóxico de Telecomunicacións de Galicia (GRADIANT), Vigo 36214, Spain

  59. Remembering by Reconstructing: Domain Incremental Learning With Test-Time Training on Video Streams

    May 29, 2026Jonathan Swinnen, Tinne TuytelaarsDomain-Incremental LearningTest-Time Training

    ESAT, KU Leuven, Leuven, Belgium

  60. Active Continual Learning with Metaplastic Binary Bayesian Neural Networks

    May 28, 2026Kellian Cottart, Théo Ballet, Djohan Bonnet +1Bayesian Neural NetworksBinary Neural Networks

    Université Paris-Saclay, CNRS, Centre de Nanosciences et de Nanotechnologies, Palaiseau, France · Forschungszentrum Jülich, Germany