Imagen de Portada

RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Han, Haorong, Yuan, Jidong, Wei, Chixuan, Yu, Zhongyang
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning
por: Zheng, Hongwei, et al.
Publicado: (2024)

SupReMix: Supervised Contrastive Learning for Medical Imaging Regression with Mixup
por: Wu, Yilei, et al.
Publicado: (2023)

Match me if you can: Semi-Supervised Semantic Correspondence Learning with Unpaired Images
por: Kim, Jiwon, et al.
Publicado: (2023)

RelationMatch: Matching In-batch Relationships for Semi-supervised Learning
por: Zhang, Yifan, et al.
Publicado: (2023)

IBMA: An Imputation-Based Mixup Augmentation Using Self-Supervised Learning for Time Series Data
por: Nguyen, Dang Nha, et al.
Publicado: (2025)

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

Mixup Augmentation with Multiple Interpolations
por: Shen, Lifeng, et al.
Publicado: (2024)

RegMix: Adversarial Mutual and Generalization Regularization for Enhancing DNN Robustness
por: Liu, Zhenyu, et al.
Publicado: (2025)

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

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

Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised Learning
por: Ye, Bo, et al.
Publicado: (2023)

Inter-Domain Mixup for Semi-Supervised Domain Adaptation
por: Li, Jichang, et al.
Publicado: (2024)

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

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

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

SynerMix: Synergistic Mixup Solution for Enhanced Intra-Class Cohesion and Inter-Class Separability in Image Classification
por: Xu, Ye, et al.
Publicado: (2024)

SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning
por: Du, Chaoqun, et al.
Publicado: (2024)

DBN-Mix: Training Dual Branch Network Using Bilateral Mixup Augmentation for Long-Tailed Visual Recognition
por: Baik, Jae Soon, et al.
Publicado: (2022)

The Impact of Semi-Supervised Learning on Line Segment Detection
por: Engman, Johanna, et al.
Publicado: (2024)

GradMix: Gradient-based Selective Mixup for Robust Data Augmentation in Class-Incremental Learning
por: Kim, Minsu, et al.
Publicado: (2025)

Semi-Supervised Learning with Multi-Head Co-Training
por: Chen, Mingcai, et al.
Publicado: (2021)

Semi-Supervised Image Captioning Considering Wasserstein Graph Matching
por: Yang, Yang
Publicado: (2024)

RegCL: Continual Adaptation of Segment Anything Model via Model Merging
por: Shu, Yuan-Chen, et al.
Publicado: (2025)

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

FRAM: Frobenius-Regularized Assignment Matching with Mixed-Precision Computing
por: Shen, Binrui, et al.
Publicado: (2025)

Utilizing Weak-to-Strong Consistency for Semi-Supervised Glomeruli Segmentation
por: Zhang, Irina, et al.
Publicado: (2024)

CalibrateMix: Guided-Mixup Calibration of Image Semi-Supervised Models
por: Rahman, Mehrab Mustafy, et al.
Publicado: (2025)

GeMix: Conditional GAN-Based Mixup for Improved Medical Image Augmentation
por: Carlesso, Hugo, et al.
Publicado: (2025)

Generalized Open-World Semi-Supervised Object Detection
por: Allabadi, Garvita, et al.
Publicado: (2023)

Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning
por: Hou, Yaxin, et al.
Publicado: (2025)

Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection
por: Shao, Qian, et al.
Publicado: (2024)

PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation
por: Xie, Haoyu, et al.
Publicado: (2024)

Leveraging Label Proportion Prior for Class-Imbalanced Semi-Supervised Learning
por: Akiba, Kohki, et al.
Publicado: (2026)

Applications and Effect Evaluation of Generative Adversarial Networks in Semi-Supervised Learning
por: Hu, Jiyu, et al.
Publicado: (2025)

Semi-Supervised Crowd Counting from Unlabeled Data
por: Duan, Haoran, et al.
Publicado: (2021)

Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives
por: Ramasubramanian, Shrinivas, et al.
Publicado: (2024)

Enhancing Semi-Supervised Multi-View Graph Convolutional Networks via Supervised Contrastive Learning and Self-Training
por: Xiao, Huaiyuan, et al.
Publicado: (2025)

A Robust Multisource Remote Sensing Image Matching Method Utilizing Attention and Feature Enhancement Against Noise Interference
por: Li, Yuan, et al.
Publicado: (2024)

Gridding Forced Displacement using Semi-Supervised Learning
por: Wells, Andrew, et al.
Publicado: (2025)

Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference
por: Park, Seongheon, et al.
Publicado: (2024)