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22 papers in the last four weeks, up 120% on the four weeks before. 0.2% of all new papers.

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  1. Exact Unlearning via Quantized Sufficient Statistics

    Oct 5, 2026Ami Tavory, Shripad Gade, Tal Sarig +2Exact UnlearningRetraining

    Meta Platforms, Inc.

  2. Localisation-Aware Uncertainty for Pretrained Object Detection

    Oct 1, 2026Charmaine Barker, Daniel Bethell, Simos GerasimouObject DetectionLocalization

    Department of Computer Science, University of York, UK · Department of Elect. Eng., and Computer Science and Eng., Cyprus University of Technology, Cyprus

  3. Towards Hierarchical Cyber Defense with Large Language Models: From Planning to Execution

    Sep 30, 2026Harshith Doppalapudi, Nathaniel D. Bastian, Ankit ShahHierarchical Reinforcement LearningRetraining

    Indiana University Bloomington, IN, USA · Johns Hopkins University Baltimore, MD, USA

  4. Pseudo-Label-Triggered Retraining from Forecast Errors for Online Time Series Forecasting

    Sep 30, 2026Yeryeong Kwak, Yoo-Min Jung, Jonghun ParkRetrainingTime Series

    Seoul National University Seoul, Republic of Korea

  5. Candidate Retention for Abductive Learning

    Sep 30, 2026Hao-Yuan He, Yu Liu, Ming LiProcess-Level SupervisionRetraining

    School of Artificial Intelligence, Nanjing University · National Key Laboratory for Novel Software Technology, Nanjing University

  6. Hyperbolic Prototype Routing for Rehearsal-Free Class-Incremental Learning

    Sep 30, 2026HongWei Zhao, Rui Liu, Yong ChenClass-Incremental LearningLearnable Prototypes

    Beihang University · Beijing University of Posts and Telecommunications

  7. Unmerge: Efficient Machine Unlearning via Task Arithmetic

    Sep 30, 2026Haoran Tang, Andrew Tan, Rajiv KhannaMachine UnlearningRetraining

    Department of Computer Science Purdue University

  8. ReSCENE: Server-Side Replay for Structural Mitigation of Catastrophic Forgetting in Federated Continual Learning

    Sep 30, 2026Sungmin Kang, Zhengzhong Tu, Sunwoo LeeFederated LearningCatastrophic Forgetting

    Texas A&M University · Inha University

  9. LongLive-Plug: Once-for-All Distillation for Video Generation

    Sep 29, 2026Shuai Yang, Luozhou Wang, Wei Huang +9Long Video GenerationVideo Generation

    NVIDIA

  10. Bounding Retraining Equivalence and the Deletion Floor in Materials Machine Unlearning

    Sep 28, 2026Can Polat, Mustafa Kurban, Erchin Serpedin +1Machine UnlearningDeletion

    Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas, USA · Department of Electrical and Computer Engineering, Texas A&M University at Qatar, Doha, Qatar · Department of Prosthetics and Orthotics, Ankara University, Ankara, Turkey +1

  11. Reliable Replay through Spatial Coherence in Online Continual Learning

    Sep 27, 2026Haixiang Sun, Jiefu Zhang, Yinghao He +4Prioritized Experience ReplayReplay-Based Continual Learning

    Purdue University West Lafayette, IN 47907, USA

  12. Robust to Which Model Change? A Unified Evaluation of Robust Counterfactual Explanations

    Sep 25, 2026Marcin Kostrzewa, Maciej ZiębaCounterfactual ExplanationRobustness Verification

    Department of Artificial Intelligence Wrocław University of Science and Technology

  13. Finite-Sample Probabilistic Safety Certification for AI-Based Grid-Edge Coordination

    Sep 23, 2026Yihong Zhou, Hanbin Yang, Thomas MorstynProbabilistic SafetyArtificial Intelligence Safety

    Department of Engineering Science, University of Oxford, U.K.

  14. Mitigating Sequential Reappearance in Diffusion Data-Point Unlearning

    Sep 21, 2026Donghyun Kim, Taehyuk Lee, Jinyeong Kim +4DeletionRetraining

    Department of Computer Science and Engineering, Konkuk University Trustworthy Machine Learning Lab Seoul, Republic of Korea

  15. MGRD: Compact morphology-gated residual diffusion for variance-aware cross-domain neurite forecasting

    Sep 21, 2026Tsung Yeh Hsieh, Cosmin Anitescu, Chunghwan Kim +2Spatio-Temporal ForecastingNeurons

    Department of Mechanical Engineering, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, USA · Department of Biomedical Engineering, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, USA · Department of Civil and Environmental Engineering, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, USA

  16. From Pretraining to Proficiency: Real-World Subtask RL for Long-Horizon Manipulation with Minimal Human Intervention

    Sep 18, 2026Sichang Su, Benjamin Yang, Zhiyun Deng +4Long-Horizon ManipulationRetraining

    UT Austin · Autel US · UC Berkeley

  17. CellRFT: Reinforcement Fine-Tuning for Single-Cell Perturbation Modeling

    Sep 17, 2026Jie Yan, Li Liu, Hanze Guo +7Single-Cell Perturbation PredictionReinforcement Fine-Tuning

    Chinese Academy of Sciences · Peking University · Renmin University of China +2

  18. FAME: An FPGA-Based Platform for Approximate Multipliers Evaluation with Pattern-Guided DNN Retraining

    Sep 15, 2026Rappy Saha, Nima Amirafshar, Jude Haris +2Neural Network InferenceField-Programmable Gate Arrays

    University of Glasgow, UK · Heidelberg University, Germany

  19. A Language-Guided Multimodal Foundation Model for Zero-Shot and Multi-Task Brain Signal Analysis

    Sep 14, 2026Mingzhi Chen, Yiyu Gui, Guibo Luo +1Electroencephalography Foundation ModelsMultimodal Foundation Model

    New Cornerstone Science Laboratory, Guangdong Provincial Key Laboratory of In-Memory Computing Chips, School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen, China · Center for Brain Inspired Intelligence, Chinese Institute for Brain Research (CIBR), Beijing, China · New Cornerstone Science Laboratory, Beijing Advanced Innovation Center for Integrated Circuits, School of Integrated Circuits, Peking University, Beijing, China

  20. One Loop, Two Gains: Can Active Learning win the Lottery for Free?

    Sep 9, 2026Benedikt Tscheschner, Eduardo Veas, Marc MasanaPool-Based Active LearningActive Learning

    University of Technology Graz Know-Center Research GmbH Austria · Institute of Visual Computing University of Technology Graz Austria

  21. Evaluating Model Retraining under Drift: Paired Comparisons of Cumulative Subgroup Disparity

    Sep 9, 2026Aaron CerossSubgroupsRetraining

    Birmingham Law School, University of Birmingham

  22. CUNO: Curriculum and Preference Optimization for Stable Graph Unlearning under Mass Deletion

    Sep 8, 2026Chenhan Zhang, Ali Braytee, Madhushi Bandara +4DeletionRetraining

    University of Technology Sydney

  23. ComVLA: Communication-Aware Split Inference for VLA Models in 6G-Connected Robotics

    Sep 7, 2026Boliang Liu, Wint Yi Poe, Jingyun Di +2Vision-Language-Action FrameworkSemantic Communications

    Technical University of Berlin, Berlin, Germany · Huawei Heisenberg Research Center, Munich, Germany

  24. Sharpening the Ensemble: An SSIM-Aligned Residual Refiner for Brain-MRI Inpainting Post-Processing

    Sep 3, 2026Kubilay Kağan Kömürcü, İlkay ÖksüzMagnetic Resonance ImagingInpainting

    Department of Computer Engineering, Istanbul Technical University, Istanbul, Türkiye

  25. Transfiver: Human-AI Co-Inference through a Shared Editable State

    Sep 3, 2026Minji Park, Seunghyun Yoon, Hyuk LimHuman-Ai InteractionRetraining

    Korea Institute of Energy Technology (KENTECH)

  26. Source-Free Class Relearning: Diagnosing Forgetting in Class Unlearning

    Sep 2, 2026Zahra Dehghani, Pablo Piantanida, Mohammadhadi ShateriExact UnlearningRetraining

    LIVIA · ILLS · ´ETS Montreal +2

  27. CERF: Communication-Efficient and Retraining-Free Collaborative Perception

    Sep 1, 2026Jiuwu Hao, Ziyi Ni, Liguo Sun +5Collaborative PerceptionHeterogeneous Robot Teams

    School of Artificial Intelligence, University of Chinese Academy of Sciences · Institute of Automation, Chinese Academy of Sciences

  28. Learning to Restore More: Continual Capability Expansion for Pretrained Image Restoration Models

    Aug 31, 2026Hu Gao, Yulong Chen, Lizhuang MaImage RestorationRestoration

    Department of Computer Science Shanghai Jiao Tong University Shanghai, China · Department of Architecture and Design Harbin Institute of Technology Heilongjiang, China

  29. Forget or Fine-tune? A Comparative Study of Machine Unlearning Strategies for Noisy Label Correction

    Aug 30, 2026João L. P. Santana, Filipe R. CordeiroNoisy LabelsMachine Unlearning

    Department of Computing Universidade Federal Rural de Pernambuco, Brazil

  30. Concept Drift Detection and Adaptive Retraining of Malware Classification Models

    Aug 13, 2026Christofer Washington Berruz Chungata, Martin Jurecek, Katerina Potika +2MalwareSupport Vector Machines

    Department of Computer Science, San Jose State University · Faculty of Information Technology, Czech Technical University in Prague

  31. Uniform Herding: Exemplar Replay with Representation Refresh

    Aug 13, 2026Krishna SubediRetrainingReplay

    Neryva

  32. Incremental Evaluation and Training in Relational Deep Learning

    Aug 13, 2026Jakub Peleška, Gustav ŠírRelational Deep LearningRetraining

    Czech Technical University in Prague

  33. One-Time Training for All Grains: Open-Set Grain Recognition and Quantitative Analysis

    Aug 10, 2026Qihe Su, Mengyu Sun, Yuxi Ke +4Precision AgricultureFine-Grained Perception

    National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China · College of Engineering, Huazhong Agricultural University, Wuhan, 430070, China · Engineering Research Center of Intelligent Technology for Agriculture, Ministry of Education +1

  34. Trajectory-Guided Forget-Recover Network for Continual LLM Unlearning

    Aug 4, 2026Zezheng Wu, Xinghe Cheng, Qinggang Zhang +4Large Language Model UnlearningUnlearning Method

    Guilin University of Electronic Technology · Jinan University · Jilin University +2

  35. Double Down on Defense: Strengthening Deep Perceptual Hashes against Evasion Attacks without Retraining

    Aug 4, 2026Bangjie Sun, Nayoung Kim, Mun Choon Chan +1Locality-Sensitive HashingWhite-Box Spectral-Subspace-Guided Attack

    National University of Singapore (NUS) · Korea Advanced Institute of Science and Technology (KAIST)

  36. SCOPE: Entanglement Frontier Escape for Source-Free Class Unlearning

    Aug 3, 2026Junhao Cai, Dohun Kim, Sung Il Choi +4Exact UnlearningConcept Erasure

    Korea University, Seoul, Republic of Korea

  37. Similarity-Aware Machine Unlearning

    Jul 31, 2026Madhavan Citalamangalam Kumaran, Midhun Parakkal Unni, Vicky Kouni +1Machine UnlearningRetraining

    Department of Computer Science, University of Manchester, UK · Centre for Machine Intelligence, University of Sheffield, UK · School of Computer Science, University of Sheffield, Sheffield, UK +1

  38. Versatile On-device Adaptation at the Edge by Unifying Few-shot, Zero-shot, Continual, and In-context Learning

    Jul 31, 2026Douwe den Blanken, Martin Lefebvre, Charlotte FrenkelEdge DevicesFew-Shot Learning

    Microelectronics Department (EEMCS Faculty), Delft University of Technology, 2628 CD Delft, Netherlands

  39. Adjudicated Captioning: Multi-Agent Alignment Scoring and Consensus-Distilled Beam Arbitration for Strict Zero-Shot Image Captioning

    Jul 31, 2026Duy Tran Thanh, Thien-Phuc Doan, Long Nguyen-Vu +1Image Difference CaptioningZero-Shot Composed Image Retrieval

    AI Platform OneNexus, OneMount · School of Electronic Engineering, Soongsil University, Seoul 06978, South Korea · AI Laboratory, MoAdata, Seoul, South Korea +1

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

    Jul 30, 2026Zihao Ding, Jun Huang, Liang DongUnlearning MethodFederated Learning

    Electrical Engr & Computer Science · South Dakota State University · Brookings, USA +3

  41. Crossing-Free Probabilistic K-Line Forecasts Without Retraining

    Jul 29, 2026Runyao Yu, Yuchen Tao, Yujie Chen +2Probabilistic ForecastingForecast

    London Business School London, United Kingdom · RWTH Aachen University Aachen, Germany · The Chinese University of Hong Kong Shenzhen, China +1

  42. Learned, Relied Upon, or Necessary? Separating Checkpoint Dependence from Task-Level Value in Sheaf GNNs

    Jul 28, 2026Yi LiuSheaf Neural NetworksGraph Neural Networks

    School of Astronomy and Space Science, University of Science and Technology of China

  43. Understanding Machine Unlearning Through the Lens of Mode Connectivity

    Jul 27, 2026Jiali Cheng, Hadi AmiriMachine UnlearningLearnability

    University of Massachusetts Lowell

  44. Codebook Capacity Governs Perceptual Quality Across Resolutions in Hierarchical Discrete Video Compression

    Jul 25, 2026Manikanta Kotthapalli, Banafsheh RekabdarVideo CompressionCodebooks

    Department of Computer Science Portland State University Portland, OR 97201

  45. Beyond a Global Norm: Personalizing Toxicity Sensitivity in Language Models Without Retraining

    Jul 25, 2026Rares A. C. Diaconescu, Iulia Slanina, Alina Florea +5ToxicityHarmful Language

    Delft University of Technology

  46. Ms. Forcing: Efficient Streaming Video Generation with Multi-Scale Patchification and Attention

    Jul 23, 2026Zekun Li, Xiaoyan Cong, Hongyu Li +5Video Diffusion ModelsMultiscale

    1Brown University · 2Massachusetts Institute of Technology · 3Meta

  47. SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction

    Jul 22, 2026Sriprabha Ramanarayanan, Rahul G. S., Mohammad Al Fahim +3Magnetic Resonance Imaging ReconstructionMagnetic Resonance Imaging

    Healthcare Technology Innovation Centre, IITM, India · Department of Electrical Engineering, Indian Institute of Technology Madras (IITM), India · GE John F Welch Technology Center, GE Healthcare, India

  48. VQ-Transplant: Efficient VQ-Module Integration for Pre-trained Visual Tokenizers

    Jul 21, 2026Xianghong Fang, Yuan Yuan, Dehan Kong +1Residual Vector QuantizationVisual Tokenizers

    University of Toronto · 2Boston College · 3Vijil

  49. Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification

    Jul 21, 2026Simone MilaniReplay-Based Continual LearningContinual Learning

    Department of Information Engineering, University of Padova, Padova, Italy

  50. Unlearning as Distribution Restoration: A Controlled Counterfactual Study, a Validated Selective Screen, and the Limits of Oracle-Free Certification

    Jul 21, 2026Sen Yang, Yuen-Hei YeungCertificationRetraining

    Stern School of Business New York University · Courant Institute of Mathematical Sciences New York University

  51. MAGE: Human-Like Macro Placement via Agentic Multimodal Reasoning

    Jul 20, 2026Andrew B. Kahng, Sayak Kundu, Bodhisatta PramanikMultimodal AgentsHumanoid

  52. Retraining Seeks Stable Signals

    Jul 17, 2026Moritz HardtRetrainingHeterogeneous Treatment Effects

    Max Planck Institute for Intelligent Systems, Tübingen, and Tübingen AI Center

  53. Rethinking Transfer in Continual Learning: A Replay-Based Realisation

    Jul 17, 2026Yang Meng, Zhenya Liu, Zhuokai Zhao +1Replay-Based Continual LearningContinual Learning

    Department of Computer Science, University of Chicago

  54. ADORN: Adaptive Drift handling for Open RAN using Reinforcement Learning

    Jul 9, 2026Ashit Kumar Subudhi, Bhargav Chirumamilla, Shubham Vaishnav +5Open Radio Access NetworksRetraining

    Indian Institute of Technology Dharwad, Karnataka, India · Johns Hopkins University, USA · Stockholm University, Sweden +2

  55. Self-Adaptive Anomaly Detection with Reinforcement Learning and Human Feedback in Connected Vehicles

    Jul 9, 2026Matthias Weiß, Athreya Hosahalli Prakash, Maurice Artelt +3Graph Anomaly DetectionCyber-Physical System

    Institute of Industrial Automation and Software Engineering (IAS), University of Stuttgart, Pfaffenwaldring 47, 70550 Stuttgart, Germany

  56. Association Restoration Test: Revealing Restorable Shortcuts after Unlearning

    Jul 7, 2026Amy Lu, Changxiu JiShortcut LearningUnlearning Method

    Department of Computer Science, Stanford University

  57. RECAST: Model Reconstruction via Counterfactual-Aware Wasserstein Geometry under Limited Data

    Jun 26, 2026Xuan Zhao, Lena Krieger, Zhuo Cao +3Fairness AuditsCounterfactual Explanation

    IAS-8, Forschungszentrum Jülich, Germany · LMU Munich, Munich Center for Machine Learning (MCML), Germany · Department of Computer Science, Aarhus University, Denmark

  58. Action ControlNet: A Lightweight Delay-Aware Adapter for Smooth Asynchronous Control in Vision-Language-Action Models

    Jun 24, 2026Tiecheng Guo, Meng GuoAction GenerationRobotic Manipulation

    The authors are with the School of Advanced Manufacturing and Robotics, Peking University, Beijing 100871, China.

  59. DFMU: Data-Frugal Machine Unlearning

    Jun 24, 2026Sajith U, Prateek KeserwaniMachine UnlearningUnlearning Method

    Samsung R&D Institute India-Bangalore, India

  60. The Gentle Collapse: Distributional Metrics for Continual Learning

    Jun 23, 2026Ahmed Anwar, Andreas Wagner, Federico Raue +2Catastrophic ForgettingPrioritized Experience Replay

    1German Research Center for Artificial Intelligence (DFKI) · 2RPTU University Kaiserslautern-Landau, Kaiserslautern, Germany · 3Hochschule Karlsruhe University of Applied Sciences, Karlsruhe, Germany