Image de couverture de livre

Learning from Majority Label: A Novel Problem in Multi-class Multiple-Instance Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Kaito, Shiku, Matsuo, Shinnosuke, Suehiro, Daiki, Bise, Ryoma
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Counting Network for Learning from Majority Label
par: Shiku, Kaito, et autres
Publié: (2024)

Ordinal Multiple-instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer
par: Shiku, Kaito, et autres
Publié: (2024)

Leveraging Vision-Language Models as Weak Annotators in Active Learning
par: Nguyen, Phuong Ngoc, et autres
Publié: (2026)

Auxiliary Gene Learning: Spatial Gene Expression Estimation by Auxiliary Gene Selection
par: Shiku, Kaito, et autres
Publié: (2025)

Learning from Partial Label Proportions for Whole Slide Image Segmentation
par: Matsuo, Shinnosuke, et autres
Publié: (2024)

Hypernetwork-Based Adaptive Aggregation for Multimodal Multiple-Instance Learning in Predicting Coronary Calcium Debulking
par: Shiku, Kaito, et autres
Publié: (2026)

NoiseCutMix: A Novel Data Augmentation Approach by Mixing Estimated Noise in Diffusion Models
par: Takezaki, Shumpei, et autres
Publié: (2025)

Leveraging Label Proportion Prior for Class-Imbalanced Semi-Supervised Learning
par: Akiba, Kohki, et autres
Publié: (2026)

Learning Relative Gene Expression Trends from Pathology Images in Spatial Transcriptomics
par: Nishimura, Kazuya, et autres
Publié: (2025)

Cell Tracking in C. elegans with Cell Position Heatmap-Based Alignment and Pairwise Detection
par: Shiku, Kaito, et autres
Publié: (2024)

Instance-wise Supervision-level Optimization in Active Learning
par: Matsuo, Shinnosuke, et autres
Publié: (2025)

Cell-Type Prototype-Informed Neural Network for Gene Expression Estimation from Pathology Images
par: Nishimura, Kazuya, et autres
Publié: (2026)

Domain Adaptation for Ulcerative Colitis Severity Estimation Using Patient-Level Diagnoses
par: Yamaguchi, Takamasa, et autres
Publié: (2025)

Cell Instance Segmentation via Multi-Task Image-to-Image Schrödinger Bridge
par: Inoue, Hayato, et autres
Publié: (2026)

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning
par: Yamane, Takehiro, et autres
Publié: (2025)

Enhancing Reliability of Medical Image Diagnosis through Top-rank Learning with Rejection Module
par: Ji, Xiaotong, et autres
Publié: (2025)

GC-MoE: Genomics-Guided Cell-Type-Specific Mixture of Experts for Histology-Based Single-Cell Spatial Transcriptomics
par: Shiku, Kaito, et autres
Publié: (2026)

Proportion Estimation by Masked Learning from Label Proportion
par: Okuo, Takumi, et autres
Publié: (2024)

Hierarchical Co-Embedding of Font Shapes and Impression Tags
par: Kubota, Yugo, et autres
Publié: (2026)

VesselFusion: Diffusion Models for Vessel Centerline Extraction from 3D CT Images
par: Mita, Soichi, et autres
Publié: (2026)

Towards Spatial Transcriptomics-guided Pathological Image Recognition with Batch-Agnostic Encoder
par: Nishimura, Kazuya, et autres
Publié: (2025)

Deep Bayesian Active Learning-to-Rank with Relative Annotation for Estimation of Ulcerative Colitis Severity
par: Kadota, Takeaki, et autres
Publié: (2024)

Leveraging Spatial Transcriptomics as Alternative to Manual Annotations for Deep Learning-Based Nuclei Analysis
par: Nishimura, Kazuya, et autres
Publié: (2026)

Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large Bags
par: Kubo, Shunsuke, et autres
Publié: (2024)

Computer-Aided Multi-Stroke Character Simplification by Stroke Removal
par: Ishiyama, Ryo, et autres
Publié: (2025)

Ranking-Guided Semi-Supervised Domain Adaptation for Severity Classification
par: Harada, Shota, et autres
Publié: (2026)

Guidance-base Diffusion Models for Improving Photoacoustic Image Quality
par: Eguchi, Tatsuhiro, et autres
Publié: (2025)

Multi-head Attention-based Deep Multiple Instance Learning
par: Keshvarikhojasteh, Hassan, et autres
Publié: (2024)

Instance-dependent Label Distribution Estimation for Learning with Label Noise
par: Liao, Zehui, et autres
Publié: (2022)

Label-free Concept Based Multiple Instance Learning for Gigapixel Histopathology
par: Sun, Susu, et autres
Publié: (2025)

Domain Generalization of Pathological Image Segmentation by Patch-Level and WSI-Level Contrastive Learning
par: Shigeyasu, Yuki, et autres
Publié: (2025)

Do Multiple Instance Learning Models Transfer?
par: Shao, Daniel, et autres
Publié: (2025)

OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-aware Optimal Transport
par: Ren, Qin, et autres
Publié: (2025)

PreMix: Label-Efficient Multiple Instance Learning via Non-Contrastive Pre-training and Feature Mixing
par: Wong, Bryan, et autres
Publié: (2024)

Mitigating Instance Entanglement in Instance-Dependent Partial Label Learning
par: Zhao, Rui, et autres
Publié: (2026)

Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging
par: Li, Xianrui, et autres
Publié: (2025)

SGPMIL: Sparse Gaussian Process Multiple Instance Learning
par: Lolos, Andreas, et autres
Publié: (2025)

Federated Learning with Instance-Dependent Noisy Label
par: Wang, Lei, et autres
Publié: (2023)

Multiple Instance Learning Framework with Masked Hard Instance Mining for Gigapixel Histopathology Image Analysis
par: Tang, Wenhao, et autres
Publié: (2025)

MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels
par: Hu, Chuanyang, et autres
Publié: (2023)