Cover Image

Multimodal Deep Generative Model for Semi-Supervised Learning under Class Imbalance

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yoon, Heegeon, Kim, Heeyoung
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Simultaneous Long-tailed Recognition and Multi-modal Fusion for Highly Imbalanced Multi-modal Data
by: Yoon, Heegeon, et al.
Published: (2026)

DAMEL: Dual-Axis Multi-Expert Learning for Class-Imbalanced Learning
by: Lee, Hyuck, et al.
Published: (2026)

A Study on Semi-Supervised Detection of DDoS Attacks under Class Imbalance
by: Hallaji, Ehsan, et al.
Published: (2025)

Temporal Imbalance of Positive and Negative Supervision in Class-Incremental Learning
by: Ma, Jinge, et al.
Published: (2026)

DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning
by: Choi, Won-Seok, et al.
Published: (2024)

Federated Self-Supervised Learning for Automatic Modulation Classification under Non-IID and Class-Imbalanced Data
by: Akram, Usman, et al.
Published: (2025)

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

Class-Imbalanced Graph Learning without Class Rebalancing
by: Liu, Zhining, et al.
Published: (2023)

Semi-Supervised Learning for Deep Causal Generative Models
by: Ibrahim, Yasin, et al.
Published: (2024)

On the Impact of Class Imbalance on the Learning Dynamics of Deep Neural Networks:An Intuitive Insight
by: Mustapha, Ismail B., et al.
Published: (2026)

Data-Free Generative Replay for Class-Incremental Learning on Imbalanced Data
by: Younis, Sohaib, et al.
Published: (2024)

VIGraph: Generative Self-supervised Learning for Class-Imbalanced Node Classification
by: Hu, Yulan, et al.
Published: (2023)

MahaVar: OOD Detection via Class-wise Mahalanobis Distance Variance under Neural Collapse
by: Kim, Donghwan, et al.
Published: (2026)

Uncertainty Estimation by Flexible Evidential Deep Learning
by: Yoon, Taeseong, et al.
Published: (2025)

Multi-Objective Learning for Diffusion Models: A Statistical Theory under Semi-Supervised Learning
by: Cheng, Ziheng, et al.
Published: (2026)

A Generative Deep Learning Approach for Crash Severity Modeling with Imbalanced Data
by: Chen, Junlan, et al.
Published: (2024)

Uncertainty Estimation by Density Aware Evidential Deep Learning
by: Yoon, Taeseong, et al.
Published: (2024)

Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework
by: Lee, Cheol-Hui, et al.
Published: (2025)

Evaluating Supervised Learning Models for Fraud Detection: A Comparative Study of Classical and Deep Architectures on Imbalanced Transaction Data
by: Wang, Chao, et al.
Published: (2025)

EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models
by: Kim, Jinhee, et al.
Published: (2024)

Generative Modeling of Class Probability for Multi-Modal Representation Learning
by: Shin, Jungkyoo, et al.
Published: (2025)

Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators
by: Bai, Sikai, et al.
Published: (2023)

NodeReg: Mitigating the Imbalance and Distribution Shift Effects in Semi-Supervised Node Classification via Norm Consistency
by: Yang, Shenzhi, et al.
Published: (2025)

GRACE: Graph Neural Networks for Locus-of-Care Prediction under Extreme Class Imbalance
by: Kumar, Subham, et al.
Published: (2025)

Time-Series Contrastive Learning against False Negatives and Class Imbalance
by: Jin, Xiyuan, et al.
Published: (2023)

BalanceBenchmark: A Survey for Multimodal Imbalance Learning
by: Xu, Shaoxuan, et al.
Published: (2025)

Reinforcement Learning-Guided Semi-Supervised Learning
by: Heidari, Marzi, et al.
Published: (2024)

Why the Counterintuitive Phenomenon of Likelihood Rarely Appears in Tabular Anomaly Detection with Deep Generative Models?
by: Kim, Donghwan, et al.
Published: (2026)

Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative Study
by: Panagiotou, Emmanouil, et al.
Published: (2024)

Resilient Class-Incremental Learning: on the Interplay of Drifting, Unlabelled and Imbalanced Data Streams
by: Li, Jin, et al.
Published: (2026)

Federated Active Learning Under Extreme Non-IID and Global Class Imbalance
by: Zong, Chen-Chen, et al.
Published: (2026)

Overcoming Class Imbalance: Unified GNN Learning with Structural and Semantic Connectivity Representations
by: Alchihabi, Abdullah, et al.
Published: (2024)

Evidential Deep Active Learning for Semi-Supervised Classification
by: Zhao, Shenkai, et al.
Published: (2025)

Domain-Aware Hierarchical Contrastive Learning for Semi-Supervised Generalization Fault Diagnosis
by: Ren, Junyu, et al.
Published: (2026)

Robust Semi-Supervised Learning in Open Environments
by: Guo, Lan-Zhe, et al.
Published: (2024)

Semi-Supervised One-Shot Imitation Learning
by: Wu, Philipp, et al.
Published: (2024)

A Direct Classification Approach for Reliable Wind Ramp Event Forecasting under Severe Class Imbalance
by: Morales-Hernández, Alejandro, et al.
Published: (2026)

Interpretable Models Capable of Handling Systematic Missingness in Imbalanced Classes and Heterogeneous Datasets
by: Ghosh, Sreejita, et al.
Published: (2022)

Impact of Leakage on Data Harmonization in Machine Learning Pipelines in Class Imbalance Across Sites
by: Nieto, Nicolás, et al.
Published: (2024)

LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection
by: Ma, Tianyi, et al.
Published: (2025)