Multiple Instance Learning

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12 papers in the last four weeks, up 200% on the four weeks before. 0.1% of all new papers.

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  1. Metacognitive Reasoning in Energy Based Models using Instance Based Learning Theory

    Sep 30, 2026Tailia Malloy, Prateek Kumar Rajput, Serge Lionel Nikiema +2MetacognitionMeta-Learning

    Interdisciplinary Center for Security, Reliability, and Trust, University of Luxembourg, Luxembourg · Department of Social and Decision Sciences, Carnegie Mellon University, Pittsburgh PA

  2. Less Supervision, Better Generalization: Weakly Supervised Fake Region Localization in Diffusion-Edited Images

    Sep 29, 2026Junhee Lee, Donghyeon Jeon, Taeoh Kim +2Diffusion-Based Image EditingFace Forgery Detection

    Kyung Hee University · NAVER Cloud

  3. Calibrating One-Round Membership Inference with Neighbors

    Sep 28, 2026Francesco Rita, Jie Zhang, Florian TramèrMembership InferenceNeighbors

    ETH Zurich Zurich, Switzerland

  4. Role-Guided MOE for Encoder-Level Pathology Representation Learning in WSI Classification

    Sep 28, 2026Xinyu Ma, Xing Yang, Hongtao Jin +4Pathology Foundation ModelsComputational Pathology

    Artificial Intelligence Research Institute, Shenzhen MSU-BIT University, Shenzhen 518172, China · Shenzhen People’s Hospital, Shenzhen 518020, China

  5. Modeling Whole-Slide Images as Dynamic Tumor Microenvironment Fields

    Sep 28, 2026Lei Wu, Jiashuai Liu, Di Zhang +9Whole-Slide ImagesMultiple Instance Learning

    School of Computer Science and Technology, Xi’an Jiaotong University · University of Cambridge · Institute of Intelligent Medicine, Chinese Academy of Medical Sciences

  6. Anatomy-Structured Hierarchical MIL for Weakly-Supervised Thoracic Disease Detection in Chest X-rays

    Sep 27, 2026Jeongin Kim, Sohyun Ahn, Seo Young Kang +6Chest X-RayMultiple Instance Learning

    Division of Artificial Intelligence & Software, Ewha Womans University · Ewha Medical Artificial Intelligence Research Institute, Ewha Womans University · Department of Nuclear Medicine, Ewha Womans University +2

  7. Do Center Biases Propagate? Robustness of Pathology Foundation Models in Whole-Slide Image Classification

    Sep 23, 2026Ilán Carretero, Pablo Meseguer, Rocío del Amor +1Computational PathologyPathology Foundation Models

    CVBLab, HumanTech, Universitat Politècnica de València (UPV), Valencia, Spain · Artikode Intelligence S.L., Valencia, Spain

  8. FFM-CP: Cross-Backbone Fusion of Vision-Language Foundation Models for Few-Shot Computational Pathology

    Sep 23, 2026Anh-Tien Nguyen, Trung DQ. Dang, Nghiem Tuong Diep +9Pathology Foundation ModelsComputational Pathology

    Institute for Predictive Deep Learning for Medicine and Healthcare, Giessen University, Germany · Department of Medical Informatics, University Medicine Gottingen, Germany · Department of Applied Mathematics and Computer Science, Technical University of Denmark, Denmark +8

  9. Interpretable Multi-Instance Learning Enables Early Prediction of Key Molecular Alterations from Routine Flow Cytometry in Acute Myeloid Leukemia

    Sep 16, 2026Jonathan Legrand, Aguirre Mimoun, Baudouin Denis de Senneville +3Acute Myeloid LeukemiaMultiple Instance Learning

    IMB, MONC · Univ. Bordeaux, CNRS, Inria, Bordeaux INP, IMB, UMR 5251, F-33400 Talence, France · CHU Bordeaux +5

  10. Order-Aware 2.5D Multiple Instance Learning for Preoperative MRI-Based Perineural Invasion Risk Assessment in Intrahepatic Cholangiocarcinoma

    Sep 11, 2026Hyunsu Go, Youngung Han, Kyeonghun Kim +11CholangiocarcinomaMultiple Instance Learning

    Seoul National University, Seoul, Republic of Korea · OUTTA, Seoul, Republic of Korea · Chung-Ang University, Seoul, Republic of Korea +3

  11. CAR-MIL: Counterfactual Attention Regularization for Multiple Instance Learning

    Sep 8, 2026Imane Chraki, Pierre Marza, Stergios Christodoulidis +1Multiple Instance LearningAttention Layers

    Université Paris-Saclay, CentraleSupélec, Gustave Roussy, INSERM, IHU PRISM, Cancer Data Science Unit, France · Université Paris-Saclay, CentraleSupélec, MICS Laboratory, France

  12. Weakly-supervised Kidney Tumor Classification from CT Scans with Multi-Instance Learning and Anatomical Filtering

    Sep 7, 2026Joonas Ariva, Dmytro FishmanMultiple Instance LearningCancer Detection

    University of Tartu, Tartu, Estonia · STACC, Tartu, Estonia · Better Medicine, Tartu, Estonia

  13. Solving the Needle-in-a-Haystack Problem in Mammography Vision-Language Model with Differentiable Subset Sampling

    Sep 2, 2026Young Seok Jeon, Beatrice Brown-Mulry, Rohan Satya Isaac +5MammographyRecent Vision-Language Models

    Department of Radiology, Emory University, Atlanta, GA, USA

  14. SlideMix: Enhancing Whole Slide Image Analysis via Multimodal Shuffling

    Aug 31, 2026Chad Wong, Sicheng Chen, Tianyi Zhang +4Whole-Slide ImagesMultiple Instance Learning

    1Nhu Department of Electrical Engineering and Computer Science, University of California, Irvine · Department of Electrical & Computer Engineering, National University of Singapore · 3PuzzleLogic Pte Ltd, Singapore 229594, Singapore

  15. Federated Multi-Task Learning for Bladder Tumor Segmentation and MIBC Classification Using a Hybrid CNN-Transformer Architecture

    Aug 31, 2026Malhar Udmale, Divyanshu Dwivedi, Aarohi Dhand +3Tumor SegmentationHybrid Transformer

    Indian Institute of Information Technology Allahabad, Prayagraj, India · Manipal University Jaipur, Jaipur, India · Norwegian University of Science and Technology, Trondheim, Norway

  16. Topology-Aware Query Selection for Surgical Instrument Instance Segmentation

    Aug 12, 2026Ze Zhang, Yang ZhangMask2FormerMultiple Instance Learning

    Department of Biomedical Engineering, ShanghaiTech University, Shanghai, China · Wuhan United Imaging Surgical Co., Ltd., Wuhan, China

  17. Agentic Visual Reasoning in Whole-Slide Pathology Images via Active Perception

    Aug 9, 2026Jingyun Chen, Fengchun Liu, Linghan Cai +5Whole-Slide ImagesMultiple Instance Learning

    College of Computer Science and Technology, Harbin Institute of Technology, Shenzhen · School of Computing and Data Science, The University of Hong Kong

  18. Integrating Implicit and Explicit Relational Biases through Graph-Based Multiple Instance Learning: A Case Study in Skin Lesion Diagnosis

    Aug 6, 2026Rafał Buler, Jakub Buler, Maciej Bobowicz +1Skin Lesion ClassificationMultiple Instance Learning

    Gdańsk University of Technology · Gda´nsk University of Technology, Gda´nsk, Poland · Medical University of Gdańsk +1

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

    Aug 6, 2026Songpan Gao, Yajie Zhang, Guanxing Chen +9Medical ImagesClass-Incremental Learning

  20. Beyond Relevance: Bayesian Evidence Acquisition for Agentic Whole-Slide Image Reasoning

    Aug 6, 2026Bryan Wong, Xun Xu, Huazhu Fu +2Whole-Slide ImagesComputational Pathology

    1Korea Advanced Institute of Science and Technology (KAIST) · Institute of Advanced Intelligence and Computing (IAIC), A*STAR · Centre for Frontier AI Research (CFAR), A*STAR

  21. HexMIL: Hierarchical Attention MIL for Ante-Hoc Explainable Detection of AI-Manipulated CT Volumes

    Aug 5, 2026Orazio Pontorno, Luca Guarnera, Zahid Akhtar +1Deepfake DetectionUnsupervised Detection

    Department of Mathematics and Computer Science, University of Catania, Catania, Italy · Department of Electrical and Computer Engineering, State University of New York Polytechnic Institute, Utica, NY, USA

  22. SAGE: Semantic Explainability of Attention-Based Survival Models in Computational Pathology

    Aug 3, 2026Abdallah Lamane, Abdul Rahman Diab, Ren-Chin Wu +1Computational PathologySurvival Predictions

    Massachusetts Institute of Technology, Cambridge, MA, USA · Department of Data Science, Dana-Farber Cancer Institute, Boston, MA · Department of Pathology, Dana-Farber Cancer Institute, Boston, MA +2

  23. MUL-T: Decoding Spatial Cellular Architecture in Multiplexed Tissue Images

    Jul 30, 2026Farzaneh Seyedshahi, Kai Rakovic, Adalberto Claudio Quiros +2TissueMultiple Instance Learning

    Cancer Research UK Scotland Institute, Glasgow, UK · University of Glasgow, Glasgow, UK

  24. Rethinking EEG-Based Disease Diagnosis: Decoupling Instance Representation Learning from Subject-Level Supervision

    Jul 29, 2026Zhiyuan Ma, Zeyuan Li, Zhiyi Lu +7Small-Sample Electroencephalogram DatasetsMultiple Instance Learning

    School of Biomedical Engineering, Tsinghua Medicine, Tsinghua University · Department of Biomedical Engineering, Southern University of Science and Technology

  25. Towards Reliable Stain Transfer: An Iterative Data-Model Co-Optimization Framework Based on Multimodal Expert-Guided Assessment

    Jul 28, 2026Siyuan Xu, Yan Wang, Haofei Song +7Digital PathologyMultiple Instance Learning

    East China Normal University Shanghai, China · Ruijin Hospital, Shanghai Jiao Tong University School of Medicine Shanghai, China · Hangzhou Hyperspectral Imaging Technology Co., Ltd. Hangzhou, China +1

  26. Shape-Based Inductive Bias for Glioma Grading from Tumor Contours

    Jul 27, 2026Puneet Velidi, Michelle F. Miranda, Farouk Nathoo +2GliomaMultiple Instance Learning

    Department of Mathematics and Statistics University of Victoria · Department of Computer Science University of Victoria · D´epartement de math´ematiques Universit´e du Qu´ebec `a Montr´eal

  27. Weakly Supervised Instance-Level Gleason Pattern Estimation Using Primary and Secondary Labels

    Jul 26, 2026Nao Sugeta, Kaito Shiku, Shinnosuke Matsuo +1Multiple Instance Learning

    Kyushu University, Japan

  28. A Multi-Cohort Validation of Censoring-Aware Conformal Lower Predictive Bounds for Pathology Survival Models

    Jul 23, 2026Mingi HongSurvival PredictionsCohort

    Independent Researcher

  29. Weakly Supervised Pathology-Informed Representation Learning for PET-Based Content Retrieval of Intra-Tumour Heterogeneity

    Jul 21, 2026Rajat Vashistha, Sandra Brosda, Lauren G. Aoude +8Positron Emission TomographyMedical Images

    School of Human Movement and Nutrition Sciences, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Brisbane, Australia · 2Frazer Institute, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Brisbane, Australia · Department of Surgical Sciences, Uppsala University, Uppsala, Sweden. +2

  30. Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models

    Jul 16, 2026Mingxi Fu, Jiawen Li, Renao Yan +4Multiple Instance LearningWhole-Slide Images

    Tsinghua Shenzhen International Graduate School, Tsinghua University · University of Washington · City University of Hong Kong (Dongguan) +2

  31. Audio-Text Cross-Attention with Psycholinguistic Support Features for Ambivalence/Hesitancy Recognition

    Jul 15, 2026Luiz F. B. F. Martins, Rodrigo W. Pisaia, Matheus M. Girardi +5ProsodyCross-Attention

    Pontifical Catholic University of Paraná, Curitiba, Brazil

  32. CGRL: Concept-Guided Pruning and Representation Learning for Whole-Slide Image Classification

    Jul 14, 2026Thuc Huynh, Tuan Le, Doanh C. BuiWhole-Slide ImagesComputational Pathology

    University of Information Technology, Ho Chi Minh City, Vietnam · Vietnam National University Ho Chi Minh City, Ho Chi Minh City, Vietnam

  33. Demonstration of the common dual-channel feature decoupling characteristic of front-door mediation causal inference methods in whole-slice image classification

    Jul 14, 2026Zhirui Zhang, Tianhang Nan, Yong Ding +3Multiple Instance LearningDigital Pathology

    College of Medicine and Biological Information Engineering, Northeastern University, China

  34. TVT-PAPD: Pathology-Aware Prototype Distillation for Self-Supervised Whole Slide Image Classification

    Jul 11, 2026Ramesh Naidu Laveti, Jaya Sreevalsan-Nair, T K SrikanthGliomaBrain Tumor Classification

    E-Health Research Center, International Institute of Information Technology Bangalore, Karnataka 560100, India.

  35. Slide-Level Active Learning Reduces Annotation Burden in H&E images

    Jul 10, 2026Mahsa Vali, Zhilong Weng, Noémie Moreaua +2Digital PathologyPool-Based Active Learning

    Institute for Biomedical Informatics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany · Center for Molecular Medicine Cologne (CMMC), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany · Faculty of Mathematics and Natural Sciences, University of Cologne, Cologne, Germany +3

  36. ProsMAE: Multi-Source MAE Pretraining for ISUP Grade Classification

    Jul 9, 2026Anna Jung, Kyeonghun Kim, Youngung Han +6Computational Pathology3D Masked Autoencoders

    SNU · OUTTA · GIST +1

  37. TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving

    Jul 6, 2026Miguel Antunes-García, Santiago Montiel-Marín, Fabio Sánchez-García +3Autonomous Driving PerceptionAutonomous Driving

    Electronics Department, University of Alcalá (UAH), Alcalá de Henares, Spain

  38. MergeSurv: Merging-Based Continual Learning for Survival Analysis on Whole-Slide Images

    Jul 6, 2026Vu Minh Tran, Doanh C. Bui, Maï K. Nguyen +1Whole-Slide ImagesComputational Pathology

    University of Information Technology · 2Viet Nam National University Ho Chi Minh City · 3ETIS (UMR 8051), CY Cergy Paris University, ENSEA, CNRS, France

  39. ContiStain: Cross-Domain Relation-Preserving Distillation for Continual Multi-Domain Virtual IHC Staining

    Jul 4, 2026Fuqiang Chen, Yifeng Wang, Hongpeng Wang +1Digital PathologyBiomarker

    School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China · School of Computer Science and Technology, Tsinghua University, Beijing, China

  40. Latent Clarity: Bridging World-Model Kinematics to Semantic Manifolds for Video Anomaly Anticipation

    Jul 3, 2026Abu Anas Ibn SamadTraining-Free Video Anomaly DetectionFine-Grained Video Understanding

    Sigmind.ai Dhaka 1215, Bangladesh

  41. Learning from Lost Provenance: Multiple Instance Learning for Cancer Registry Tumor Group Classification

    Jul 3, 2026Leonard Ruocco, Jonathan Simkin, Lovedeep Gondara +2Cancer DetectionMultiple Instance Learning

    British Columbia Cancer Registry, Provincial Health Services Authority, Vancouver, Canada · University of British Columbia, Vancouver, Canada · Data Science Institute, University of British Columbia, Vancouver, Canada

  42. MalariAI: A Label-Resilient Decoupled Framework for Universal Cell Segmentation and Explainable Stage Classification in Dense Malaria Blood Smears

    Jul 1, 2026Kaysarul Anas Apurba, Md Hasibul Hasan, Mohammed Ali +1Acute Myeloid LeukemiaMultiple Instance Learning

    Department of Electrical and Computer Engineering, North South University, Dhaka 1229, Bangladesh · Department of Computer Science and Engineering, International University of Business Agriculture and Technology (IUBAT), Dhaka 1230, Bangladesh

  43. TaxoMIL: Taxonomy-Constrained Learning for Hierarchical Whole Slide Image Analysis

    Jun 30, 2026Chaeyeon Lee, Khang Nguyen Quoc, Jinsol Song +3Whole-Slide ImagesComputational Pathology

    School of Electrical Engineering, Korea University, Seoul, Republic of Korea · Department of Hospital Pathology, The Catholic University of Korea College of Medicine, Seoul, Republic of Korea

  44. Uncertainty Estimation in Pathology Foundation Models via Deep Mutual Learning

    Jun 29, 2026Gbègninougbo Aurel Davy Tchokponhoue, Sevda Öğüt, Ali Idri +2Pathology Foundation ModelsWhole-Slide Images

    EPFL, Lausanne, Switzerland · UM5, Rabat, Morocco

  45. Mitigating Batch Effects in Histopathology via Language-Mediated Robust Embedding Generation

    Jun 27, 2026Yishu Zhang, Shushan Wu, Zhenzhong Zhang +8Pathology Foundation ModelsComputational Pathology

    University of North Carolina at Chapel Hill

  46. Predicting Metastatic Risk from Primary Cancer Tissue Architecture via Distance-Aware Spatial Modeling

    Jun 27, 2026Sandesh Pokhrel, Hamid Manoochehri, Beatrice S Knudsen +1TumorTissue

    Department of Electrical and Computer Engineering, University of Utah · Scientific Computing and Imaging Institute, University of Utah · Department of Pathology, University of Utah

  47. Distribution-based deep multiple instance learning for tumor proportion scoring in NSCLC

    Jun 25, 2026Krzysztof Pysz, Artur Bartczak, Jarosław Kwiecień +2Multiple Instance LearningTumor

    Politechnika Wrocławska, Wydział Podstawowych Problemów Techniki, Katedra Inżynierii Biomedycznej, Poland · Specjalistyczny Szpital Chorób Płuc w Zakopanem, Zakład Patomorfologii, Poland · Narodowy Instytut Onkologii im. Marii Skłodowskiej-Curie, Oddział Kraków, Zakład Patomorfologii Nowotworów, Poland +1

  48. Re-mixing Embeddings for Patient Augmentation in Data Scarce Multiple Instance Learning

    Jun 24, 2026Muhammed Furkan Dasdelen, Fatih Ozlugedik, Anastasia Litinetskaya +3Multiple Instance LearningData Augmentation

    Computational Health Center & Helmholtz AI, Helmholtz Munich, Munich, Germany · Computer Aided Medical Procedures, Technical University of Munich, Munich, Germany · Munich Center for Machine Learning (MCML), Munich, Germany +1

  49. Brain-Adapter: A Dual-Stream Vision-Language MIL Framework for Comprehensive 3D CT Diagnosis of Acute Intracranial Pathologies

    Jun 22, 2026Zhenyu Yi, Zhiyun Song, Yusong Sun +6Medical Vision-Language ModelsCone-Beam Computed Tomography

    School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China · Department of Computing, Imperial College London, London, UK

  50. From Point Estimates to Distributions: GMM Pooling for MIL in Preterm Birth Prediction

    Jun 22, 2026Hussain Alasmawi, Numan Saeed, Soha Said +1Multiple Instance LearningGaussian Mixture Models

    Division of Computing and Mathematical Sciences, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, United Arab Emirates · Corniche Hospital, Abu Dhabi Health Services Company (SEHA), Abu Dhabi, UAE

  51. Boundary-by-Mask: Few-Shot Instance Segmentation with Mask-Conditioned Boundary Learning for Texture-Poor Industrial Parts

    Jun 19, 2026Yutaka Yoshinaga, Naoya Chiba, Koichi HashimotoFew-Shot SegmentationMultiple Instance Learning

    Graduate School of Information Sciences, Tohoku University, Sendai, Japan · Cybermedia Center, Osaka University, Osaka, Japan

  52. QG-MIL: A Gated Transformer Aggregator for Domain-Agnostic Multiple Instance Learning in Medical Imaging

    Jun 18, 2026Luca Zedda, Davide Antonio Mura, Cecilia Di Ruberto +4Multiple Instance LearningMedical Imaging

    Department of Mathematics and Computer Science, University of Cagliari, Cagliari, Italy · Institute of AI for Health, Helmholtz Munich, Neuherberg, Germany

  53. RaLMPH: Reliability-aware Learning for Multi-Pathologist Harmonization in Whole-Slide Image Classification

    Jun 14, 2026Sungrae Hong, Jiwon Jeong, Soeun Cheon +5Multiple Instance LearningWhole-Slide Images

    Korea Advanced Institute of Science and Technology, Daejeon, South Korea · Seegene Medical Foundation, Seoul, South Korea

  54. Rethinking Global Average Pooling: Your Classifier Is Secretly a Multi-Instance Learner

    Jun 12, 2026Aray KarjauvMultiple Instance LearningImage Classification

    indigo bunting

  55. AGE-MIL: Anchor-Guided Evidence Learning for Patient-Level Prediction

    Jun 10, 2026Jiawei Niu, Jian Chen, Di Zhang +8Computational PathologyMultiple Instance Learning

    School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China · Department of Oncology, University of Cambridge, Cambridge, UK · Xiangya School of Medicine, Central South University, Changsha, Hunan, China

  56. From Patches to Patients: A study of the tile-to-slide performance transferability in Digital Pathology

    Jun 9, 2026Sofiène Boutaj, Leo Fillioux, Maria Vakalopoulou +2Wireless Foundation ModelsMultiple Instance Learning

    Université Paris-Saclay, CentraleSupélec, Gustave Roussy, INSERM, IHU PRISM, Cancer Data Science Unit, France · Université Paris-Saclay, CentraleSupélec, MICS Laboratory, France

  57. Maximum Matching Accuracy: An Instance Segmentation Evaluation Metric Utilizing Globally Optimal Matching

    Jun 8, 2026Kaden Stillwagon, Alexandra D. VandeLoo, Craig R. ForestMultiple Instance LearningMetric Spaces

    College of Computing, Georgia Institute of Technology, Atlanta, 30332, Georgia, United States · School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, 30332, Georgia, United States · Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, 30332, Georgia, United States +1

  58. GD-MIL: Grade-Disentangled Multiple Instance Learning for Multimodal Biochemical Recurrence Prediction in Prostate Cancer

    Jun 8, 2026Dasari Naga RajuMultiple Instance LearningTime-To-Event Data

  59. LRMIL: Efficient Low-Resolution Multiple Instance Learning via High-Resolution Knowledge Distillation for Whole Slide Image Classification

    Jun 5, 2026Yonghan Shin, Won-Ki JeongWhole-Slide ImagesMultiple Instance Learning

    Department of Computer Science and Engineering, Korea University, Seoul, Korea

  60. In-Context Multiple Instance Learning

    Jun 4, 2026Alexander Möllers, Marvin Sextro, Julius Hense +2Multiple Instance LearningIn-Context Learning

    Berlin Institute for the Foundations of Learning and Data, Berlin, Germany · Machine Learning Group, Technische Universität Berlin, Berlin, Germany · Aignostics, Berlin, Germany +3