Cover Image

Leveraging Label Proportion Prior for Class-Imbalanced Semi-Supervised Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Akiba, Kohki, Matsuo, Shinnosuke, Harada, Shota, Bise, Ryoma
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Counting Network for Learning from Majority Label
by: Shiku, Kaito, et al.
Published: (2024)

Instance-wise Supervision-level Optimization in Active Learning
by: Matsuo, Shinnosuke, et al.
Published: (2025)

Weakly-Supervised Domain Adaptation with Proportion-Constrained Pseudo-Labeling
by: Okuo, Takumi, et al.
Published: (2025)

Proportion Estimation by Masked Learning from Label Proportion
by: Okuo, Takumi, et al.
Published: (2024)

Auxiliary Gene Learning: Spatial Gene Expression Estimation by Auxiliary Gene Selection
by: Shiku, Kaito, et al.
Published: (2025)

Ranking-Guided Semi-Supervised Domain Adaptation for Severity Classification
by: Harada, Shota, et al.
Published: (2026)

Learning from Majority Label: A Novel Problem in Multi-class Multiple-Instance Learning
by: Kaito, Shiku, et al.
Published: (2025)

Learning from Partial Label Proportions for Whole Slide Image Segmentation
by: Matsuo, Shinnosuke, et al.
Published: (2024)

NoiseCutMix: A Novel Data Augmentation Approach by Mixing Estimated Noise in Diffusion Models
by: Takezaki, Shumpei, et al.
Published: (2025)

Leveraging Vision-Language Models as Weak Annotators in Active Learning
by: Nguyen, Phuong Ngoc, et al.
Published: (2026)

Leveraging Spatial Transcriptomics as Alternative to Manual Annotations for Deep Learning-Based Nuclei Analysis
by: Nishimura, Kazuya, et al.
Published: (2026)

Cell Instance Segmentation via Multi-Task Image-to-Image Schrödinger Bridge
by: Inoue, Hayato, et al.
Published: (2026)

Cell-Type Prototype-Informed Neural Network for Gene Expression Estimation from Pathology Images
by: Nishimura, Kazuya, et al.
Published: (2026)

Sampling Control for Imbalanced Calibration in Semi-Supervised Learning
by: Tian, Senmao, et al.
Published: (2025)

Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large Bags
by: Kubo, Shunsuke, et al.
Published: (2024)

Ordinal Multiple-instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer
by: Shiku, Kaito, et al.
Published: (2024)

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data
by: Shen, Aoran, et al.
Published: (2024)

An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning
by: Chen, Hao, et al.
Published: (2022)

A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets
by: Mildenberger, David, et al.
Published: (2025)

Few-Shot Learning with Class Imbalance
by: Ochal, Mateusz, et al.
Published: (2021)

Context-Based Semantic-Aware Alignment for Semi-Supervised Multi-Label Learning
by: Fan, Heng-Bo, et al.
Published: (2024)

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning
by: Yamane, Takehiro, et al.
Published: (2025)

InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning
by: Huang, Zhe, et al.
Published: (2024)

OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning
by: Niu, Shengjie, et al.
Published: (2024)

Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation
by: Wang, Tao, et al.
Published: (2024)

Learning Style Identification Using Semi-Supervised Self-Taught Labeling
by: Ayyoub, Hani Y., et al.
Published: (2024)

Semi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo Labeling
by: Lyu, Zongyao, et al.
Published: (2024)

Ordinal Label-Distribution Learning with Constrained Asymmetric Priors for Imbalanced Retinal Grading
by: Shaik, Nagur Shareef, et al.
Published: (2025)

Class Uncertainty: A Measure to Mitigate Class Imbalance
by: Baltaci, Z. S., et al.
Published: (2023)

GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning
by: Huang, Jintao, et al.
Published: (2024)

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning
by: Tamajo, Alberto, et al.
Published: (2026)

FATE: A Prompt-Tuning-Based Semi-Supervised Learning Framework for Extremely Limited Labeled Data
by: Liu, Hezhao, et al.
Published: (2025)

Accuracy Improvement of Semi-Supervised Segmentation Using Supervised ClassMix and Sup-Unsup Feature Discriminator
by: Mano, Takahiro, et al.
Published: (2026)

Leveraging Textual Anatomical Knowledge for Class-Imbalanced Semi-Supervised Multi-Organ Segmentation
by: Gu, Yuliang, et al.
Published: (2025)

Neural Prior Estimation: Learning Class Priors from Latent Representations
by: Yavari, Masoud, et al.
Published: (2026)

Enhancing Reliability of Medical Image Diagnosis through Top-rank Learning with Rejection Module
by: Ji, Xiaotong, et al.
Published: (2025)

Domain Adaptation for Ulcerative Colitis Severity Estimation Using Patient-Level Diagnoses
by: Yamaguchi, Takamasa, et al.
Published: (2025)

Learning to Predict Gradients for Semi-Supervised Continual Learning
by: Luo, Yan, et al.
Published: (2022)

Supercm: Revisiting Clustering for Semi-Supervised Learning
by: Singh, Durgesh, et al.
Published: (2025)

Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
by: Liang, Jiachen, et al.
Published: (2024)