Weakly Supervised Learning

Follow this topic Ask about this topic

Momentum

13 papers in the last four weeks, up 225% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 102

All topics

A Diagnostic Gap Framework for Evaluating Reconstruction Fidelity in Weakly Supervised Mammography
Jul 22, 2026Vinceline Bertrand, Ionut CardeiImage Reconstruction Weakly Supervised Learning
Florida Atlantic University · Boca Raton, FL, USA
A Unified Variational Framework for Deep Weakly Supervised Image Segmentation
Jul 22, 2026Yin King Chu, Lingfeng Li, Sung Ha Kang +2Image Segmentation Weakly Supervised Image Segmentation
Department of Mathematics, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China · Hetao Institute of Mathematics and Interdisciplinary Sciences, Shenzhen, Guangdong, China · School of Mathematics, Georgia Institute of Technology, Atlanta, GA, 30332, USA +2
Using binary silver labels in electronic health records-based computable phenotyping algorithms
Jul 20, 2026Shuhe Wang, Matthew T. Slaughter, Jennifer C. Nelson +1Weakly Supervised Learning Learning with Noisy Labels
Department of Biostatistics, University of Washington · Kaiser Permanente Center for Health Research · Biostatistics Division, Kaiser Permanente Washington Health Research Institute +1
Active Learning for Efficient Annotation of Surgical Videos with Weak Supervision
Jul 14, 2026Manasa Dendukuri, Matjaz Jogan, Daniel A. Hashimoto +1Video Object Segmentation Human-in-the-Loop Annotation
1*GRASP Laboratory, University of Pennsylvania, 3330 Walnut Street, Philadelphia, PA, 19104, USA. · 2PCASO Laboratory, Dept. of Surgery, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA. · 3Dept. of Computer and Information Science, University of Pennsylvania, 3330 Walnut Street, Philadelphia, PA, 19104, USA.
Weakly Supervised Spatio-Temporal Candidate Discovery of Dairy Farm Sites from Seasonal Satellite Imagery
Jul 14, 2026Usman Haider, Fatima Khalid, Karl MasonAgricultural Remote Sensing Remote Sensing
School of Computer Science, University of Galway, Ireland. · Faculty of Computer Science and Engineering, GIK Institute of Engineering Sciences and Technology, Pakistan.
CGRL: Concept-Guided Pruning and Representation Learning for Whole-Slide Image Classification
Jul 14, 2026Thuc Huynh, Tuan Le, Doanh C. BuiComputational Pathology Contrastive Learning
University of Information Technology, Ho Chi Minh City, Vietnam · Vietnam National University Ho Chi Minh City, Ho Chi Minh City, Vietnam
SkelGen4D: Weakly-Supervised Skeleton-Based 4D Generation for Text-Driven Mesh Animation
Jul 9, 2026Hao Feng, Zhi Zuo, Jia-Hui Pan +63D Mesh Generation Text-to-Motion Generation
School of Data Science, Lingnan University, Hong Kong SAR, China · Department of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong SAR, China · Autodesk Research, Canada +1
PS4: Proxy-Supervised Joint Training for Real Target Speaker Extraction
Jul 9, 2026Wanyi Ning, Wei Zhou, Yingpeng Li +3Target Speaker Extraction Speech Processing
Yijiahe AI, Nanjing, China · Tianjin University, Tianjin, China · Nanjing University, Nanjing, China
Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification
Jul 6, 2026Raphaël Bonnet-Guerrini, Bruno Sanchez, Dominique Fouchez +5Weakly Supervised Learning Learning with Noisy Labels
Università degli Studi di Milano, Department of Computer Science, Milan 20133, Italy · Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France · Université Côte d’Azur, INRIA, CNRS, Laboratoire J.A.Dieudonné, Maasai team, Nice 06000, France +2
Learning from Lost Provenance: Multiple Instance Learning for Cancer Registry Tumor Group Classification
Jul 3, 2026Leonard Ruocco, Jonathan Simkin, Lovedeep Gondara +2Computational Pathology Weakly Supervised 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
Learning Where to Look: A Reinforcement Learning Framework for Robust Micro-Ultrasound Prostate Cancer Detection
Jun 29, 2026Mohammad Mahdi Abootorabi, Sina Namazi, Armin Saadat +7Medical Imaging Reinforcement Learning
The University of British Columbia, Vancouver, BC, Canada · Vector Institute, Toronto, ON, Canada · Queen’s University, Kingston, ON, Canada +1
GUICrafter: Weakly-Supervised GUI Agent Leveraging Massive Unannotated Screenshots
Jun 29, 2026Sunqi Fan, Lingshan Chen, Runqi Yin +4RL for GUI Agents GUI Agents
Tsinghua University · Tencent Hunyuan
Soroll-IA: A Weakly Labeled Audio Dataset for Real-World Industrial Port Monitoring
Jun 24, 2026Javier Naranjo-Alcazar, Jordi Grau-Haro, Ruben Ribes-Serrano +2Sound Event Detection Weakly Supervised Learning
Instituto Tecnologico de Informatica (ITI), Valencia, Spain
C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation
Jun 24, 2026Hualong Zhang, Siyang Feng, Zihan Huan +4Computational Pathology Weakly Supervised Image Segmentation
Guangxi Key Laboratory of Image and Graphic Intelligent Processing, Guilin University of Electronic Technology, Guilin 541004, China · International Joint Research Laboratory of Spatio-temporal Information and Intelligent Location Services, Guilin University of Electronic Technology, Guilin 541004, China · School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004, China
Single-Stage Hierarchical Rectification for Weakly Supervised Histopathology Segmentation
Jun 18, 2026Duc T. Nguyen, Hoang-Long Nguyen, Thanh-Ha DO +1Computational Pathology Weakly Supervised Image Segmentation
College of Engineering & Computer Science, VinUniversity, Hanoi, Vietnam · VinUni-Illinois Smart Health Center, VinUniversity, Hanoi, Vietnam · The Computer Vision and Medical AI Lab, VinUniversity, Hanoi, Vietnam +1
ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation
Jun 18, 2026Tong Wang, Siwen Wang, Yaolei Qi +4Video Object Segmentation Semi-Supervised Medical Image Segmentation
Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Southeast University, Ministry of Education, Jiangsu, China · Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE · School of Medicine, Case Western Reserve University, Cleveland, OH, USA
Overhead Wildlife Locator (OWL): Benchmarking Weakly Supervised Learning for Aerial Wildlife Surveys
Jun 11, 2026Isai Daniel Chacón, Zhongqi Miao, Bruno Demuro +9Remote Sensing Image Understanding Weakly Supervised Learning
Microsoft AI for Good Lab, Redmond, WA, USA · Center for Research and Formation in Artificial Intelligence (Cinfonia), Universidad de los Andes, Bogotá, Colombia · Conservation X Labs, Washington, D.C., USA +3
Evaluation Sovereignty in Metadata-Driven Classification: A Multi-Track Framework for Weakly Supervised Information Systems
Jun 11, 2026Raymond VasquezWeakly Supervised Learning
Lawrence Livermore National Laboratory, Livermore, CA, USA
VideoMDM: Towards 3D Human Motion Generation From 2D Supervision
Jun 11, 2026Amir Mann, Gal Michael Harari, Merav Keidar +1Human Motion Generation Weakly Supervised Learning
Technion · NVIDIA
AGE-MIL: Anchor-Guided Evidence Learning for Patient-Level Prediction
Jun 10, 2026Jiawei Niu, Jian Chen, Di Zhang +8Computational Pathology Weakly Supervised 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
LASA: A Weak Supervision Method for Open-Vocabulary Scene Sketch Semantic Segmentation
Jun 10, 2026Liwen Yi, Xianlin Zhang, Yue Zhang +2Weakly Supervised Image Segmentation Weakly Supervised Semantic Segmentation
Beijing University of Posts and Telecommunications Beijing, China
When Evidence is Sparse: Weakly Supervised Early Failure Alerting in Dialogs and LLM-Agent Trajectories
Jun 3, 2026Avinash Baidya, Xinran Liang, Ruocheng Guo +2Weakly Supervised Learning LLM Agent Reliability
1Intuit AI Research · 2Princeton University
Weakly Supervised Incremental Segmentation via Semantic Anchors and Spatial Arbitration
Jun 2, 2026Zhonggai Wang, Kai Fang, Guangyu GaoClass-Incremental Learning Weakly Supervised Image Segmentation
School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China
EvoPool: Evolutionary Programmatic Annotation for Label-Efficient Specialized Supervision
Jun 1, 2026Tianyi Xu, Yaolun Zhang, Xuan Ouyang +1Multi-Agent LLM Systems LLM-Assisted Annotation
Oregon State University · University of Wisconsin–Madison
Trust Functions: Near-Lossless Weak-to-Strong Generalization by Learning When to Trust the Weak Teacher
May 31, 2026Arda Uzunoglu, Alvin Zhang, Daniel KhashabiData Selection Training Data Selection
Department of Computer Science, Johns Hopkins University, Maryland, United States.
Weak Critics Make Strong Learners: On-Policy Critique Distillation for Scalable Oversight
May 29, 2026Can Jin, Jiakang Li, Rui Wu +2Scalable Oversight Weak-to-Strong Generalization
Department of Computer Science, Rutgers University, Piscataway, United States.
Hide-and-Seek in Trajectories: Discovering Failure Signals for VLA Runtime Monitoring
May 29, 2026Seongheon Park, Wendi Li, Changdae Oh +4Robot Failure Detection Fault Detection
University of Wisconsin–Madison · Georgia Institute of Technology
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling
May 28, 2026Zheng Fang, Junjie Liu, Kangjun Liu +33D Reconstruction Wireless Communications
Pengcheng Laboratory, China · Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China · Harbin Institute of Technology, Shenzhen, China
Normal Guidance is what Attention Needs
May 26, 2026Ethan Harvey, Dennis Johan Loevlie, Michael C. HughesHealthcare 3D Medical Imaging
Department of Computer Science Tufts University
MTLLFM: Multimodal-Temporal Laughter Localization: UR-FUNNY-Temporal and SMILE-Temporal Benchmarks with an Adaptive Multimodal Fusion Model
May 25, 2026Eyal Hanania, Nadav Kirsch, Daniel Arkushin +4Audio-Visual Understanding Weakly Supervised Learning
WSC-Sports

Jul 22, 2026, cs.CVJ/K move · Enter open · S save

A Diagnostic Gap Framework for Evaluating Reconstruction Fidelity in Weakly Supervised Mammography

Vinceline Bertrand, Ionut Cardei

Florida Atlantic University · Boca Raton, FL, USA

Image Reconstruction Weakly Supervised Learning Mammography Explainable Medical Image Analysis

Open paper AskPDF arXiv

Weakly supervised pipelines for medical imaging have become increasingly popular over the years. These systems often include multiple stages and components, such as reconstruction, generation, and localization, yet standard evaluation metrics provide limited insight into whether clinically relevant information is preserved across each stage. We present the diagnostic gap framework, a practical evaluation tool that measures decision preservation and explanation preservation as a function of measured reconstruction fidelity. To isolate the effect of reconstruction from localization, we evaluate on curated lesion ROI crops using a fidelity ladder of three class-conditional reconstructors---VQ-VAE-GAN, VAE-GAN, and diffusion (SDEdit)---spanning a twenty-fold range in perceptual distance (LPIPS 0.029--0.584). At autoencoder fidelity, both decision and explanation are preserved: AUC changes remain within

\pm

0.005 and attribution similarity (HiResCAM, Grad-CAM++) stays high. At diffusion fidelity, both collapse: pooled AUC drops by 0.253 and mass-pathology AUC falls below chance. The diagnostic gap is thus a measurable function of reconstruction fidelity rather than an intrinsic cost of reconstruction, and the framework provides an architecture-agnostic instrument for identifying when and where multi-stage pipelines lose diagnostic signal.

Momentum

Related topics

Latest papers 102