Get started
Keyword

semi-supervised classification

Description: A machine-learning method for assigning class labels that uses both labeled training examples and unlabeled data.
OpenAlex ID: keywords/semi-supervised-classification
Semi-Supervised Classification with Graph Convolutional Networks
2016 · Kipf, Thomas N., Welling, Max · arXiv (Cornell University) · 16,820
PDF
Categorical Reparameterization with Gumbel-Softmax
2016 · Jang, Eric, Gu, Shixiang, et al. · arXiv (Cornell University) · 3,616
PDF
A survey on semi-supervised learning
2019 · Jesper E. van Engelen, Holger H. Hoos · Machine Learning · 2,658
PDF
SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining
2006 · Andrea Esuli, Fabrizio Sebastiani · Language Resources and Evaluation Conference (LREC) · 2,521
PDF
Adversarial Autoencoders
2015 · Makhzani, Alireza, Shlens, Jonathon, et al. · arXiv (Cornell University) · 1,520
PDF
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
2021 · Zbontar, Jure, Jing, Li, et al. · arXiv (Cornell University) · 1,257
PDF
Task-Driven Dictionary Learning
2011 · J. Mairal, F. Bach, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 825
PDF
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification
2021 · Yunsheng Shi, Zhengjie Huang, et al. · 791
PDF
Semi-Supervised Classification by Low Density Separation
2005 · Olivier Chapelle, Alexander Zien, et al. · 761
Discrete Signal Processing on Graphs: Sampling Theory
2015 · Siheng Chen, Rohan Varma, et al. · IEEE Transactions on Signal Processing · 666
PDF
Semi-Supervised Learning
2005 · Tobias Scheffer · IGI Global eBooks · 624
Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours
2017 · Feiping Nie, Guohao Cai, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 595
Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study
2013 · Isaac Triguero, Salvador García, et al. · Knowledge and Information Systems · 573
A Novel Transductive SVM for Semisupervised Classification of Remote-Sensing Images
2006 · L. Bruzzone, M. Chi, et al. · IEEE Transactions on Geoscience and Remote Sensing · 564
Partially labeled classification with Markov Random Walks
2001 · Martin Szummer, Tommi Jaakkola · 554
Parameter-free auto-weighted multiple graph learning: a framework for multiview clustering and semi-supervised classification
2016 · Feiping Nie, Jing Li, et al. · Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics) · 550
Adaptive Subspaces for Few-Shot Learning
2020 · Christian Simon, Piotr Koniusz, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 483
Incorporating diversity in active learning with support vector machines
2003 · Klaus Brinker · 457
Dual Graph Convolutional Networks for Graph-Based Semi-Supervised Classification
2018 · Chenyi Zhuang, Qiang Ma · 423
PDF
Auto-Weighted Multi-View Learning for Image Clustering and Semi-Supervised Classification
2017 · Feiping Nie, Guohao Cai, et al. · IEEE Transactions on Image Processing · 405
Optimization Techniques for Semi-Supervised Support Vector Machines
2008 · Olivier Chapelle, Vikas Sindhwani, et al. · MPG.PuRe (Max Planck Society) · 404
PDF
A Novel Hierarchical Method of Ship Detection from Spaceborne Optical Image Based on Shape and Texture Features
2010 · Changren Zhu, Hui Zhou, et al. · IEEE Transactions on Geoscience and Remote Sensing · 403
Non-negative low rank and sparse graph for semi-supervised learning
2012 · Liansheng Zhuang, Haoyuan Gao, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 330
Laplacian Support Vector Machines Trained in the Primal
2009 · Melacci, Stefano, Belkin, Mikhail · arXiv (Cornell University) · 311
PDF
Robust Graph Learning From Noisy Data
2019 · Zhao Kang, Haiqi Pan, et al. · IEEE Transactions on Cybernetics · 292
PDF
Works count: 2,345
Citation count: 67,030
Year
Topic
Type