Imagen de Portada

Robust Semi-Supervised Classification using GANs with Self-Organizing Maps

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Fick, Ronald, Gader, Paul, Zare, Alina
Formato:	Preprint
Publicado:	2021
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

IPBC: An Interactive Projection-Based Framework for Human-in-the-Loop Semi-Supervised Clustering of High-Dimensional Data
por: Zare, Mohammad
Publicado: (2026)

Semi-Supervised Bayesian GANs with Log-Signatures for Uncertainty-Aware Credit Card Fraud Detection
por: Hirnschall, David
Publicado: (2025)

Minimally Supervised Learning using Topological Projections in Self-Organizing Maps
por: Lyu, Zimeng, et al.
Publicado: (2024)

Rethinking Semi-Supervised Node Classification with Self-Supervised Graph Clustering
por: Wang, Songbo, et al.
Publicado: (2025)

Robust Semi-Supervised Learning for Self-learning Open-World Classes
por: Xi, Wenjuan, et al.
Publicado: (2024)

Hypergraph Transformer for Semi-Supervised Classification
por: Liu, Zexi, et al.
Publicado: (2023)

Geometric Imbalance in Semi-Supervised Node Classification
por: Yan, Liang, et al.
Publicado: (2023)

Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification
por: Lyu, Zimeng, et al.
Publicado: (2024)

Universal Inverse Distillation for Matching Models with Real-Data Supervision (No GANs)
por: Kornilov, Nikita, et al.
Publicado: (2025)

Mixed Graph Contrastive Network for Semi-Supervised Node Classification
por: Yang, Xihong, et al.
Publicado: (2022)

In-Context Semi-Supervised Learning
por: Fan, Jiashuo, et al.
Publicado: (2025)

Self-Organizing Maps with Optimized Latent Positions
por: Ubukata, Seiki, et al.
Publicado: (2026)

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

A Characterization of Semi-Supervised Adversarially-Robust PAC Learnability
por: Attias, Idan, et al.
Publicado: (2022)

Semi-Supervised End-To-End Contrastive Learning For Time Series Classification
por: Cai, Huili, et al.
Publicado: (2023)

Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data
por: Azar, Eyar, et al.
Publicado: (2024)

Self-Supervised Penalty-Based Learning for Robust Constrained Optimization
por: Benslimane, Wyame, et al.
Publicado: (2025)

Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation
por: Kaleta, Joanna, et al.
Publicado: (2024)

Semi-Supervised Reward Modeling via Iterative Self-Training
por: He, Yifei, et al.
Publicado: (2024)

Semi-Supervised Hierarchical Open-Set Classification
por: Wallin, Erik, et al.
Publicado: (2026)

Context-Aware Doubly-Robust Semi-Supervised Learning
por: Ruah, Clement, et al.
Publicado: (2025)

ModSSC: A Modular Framework for Semi-Supervised Classification on Heterogeneous Data
por: Barbaux, Melvin, et al.
Publicado: (2025)

Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
por: Yan, Liang, et al.
Publicado: (2023)

Graph Similarity Regularized Softmax for Semi-Supervised Node Classification
por: Yang, Yiming, et al.
Publicado: (2024)

Graph Semi-Supervised Learning for Point Classification on Data Manifolds
por: Netto, Caio F. Deberaldini, et al.
Publicado: (2025)

Semi-Supervised Learning for Bilingual Lexicon Induction
por: Garnier, Paul, et al.
Publicado: (2024)

On the regularization of Wasserstein GANs
por: Petzka, Henning, et al.
Publicado: (2017)

Imputation of Longitudinal Data Using GANs: Challenges and Implications for Classification
por: Pingi, Sharon Torao, et al.
Publicado: (2025)

Variational Graph Auto-Encoder Based Inductive Learning Method for Semi-Supervised Classification
por: Yang, Hanxuan, et al.
Publicado: (2024)

Normalize Then Propagate: Efficient Homophilous Regularization for Few-shot Semi-Supervised Node Classification
por: Zhang, Baoming, et al.
Publicado: (2025)

USE: Uncertainty Structure Estimation for Robust Semi-Supervised Learning
por: Chen, Tsao-Lun, et al.
Publicado: (2026)

Semi-Supervised Learning on Graphs using Graph Neural Networks
por: Chen, Juntong, et al.
Publicado: (2026)

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

Open-World Semi-Supervised Learning for Node Classification
por: Wang, Yanling, et al.
Publicado: (2024)

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

Inverting Self-Organizing Maps: A Unified Activation-Based Framework
por: Londei, Alessandro, et al.
Publicado: (2026)

Multi-Task Learning with Multi-Annotation Triplet Loss for Improved Object Detection
por: Zhou, Meilun, et al.
Publicado: (2025)

Non-Euclidean Self-Organizing Maps
por: Celińska-Kopczyńska, Dorota, et al.
Publicado: (2021)

From Private to Public: Benchmarking GANs in the Context of Private Time Series Classification
por: Mercier, Dominique, et al.
Publicado: (2023)

Prediction of Stocks Index Price using Quantum GANs
por: Deshpande, Sangram, et al.
Publicado: (2025)