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Semi-Supervised Learning
2986 directly classified papers
Papers per year
2003: 1
2005: 1
2006: 17
2007: 15
2008: 14
2009: 19
2010: 16
2011: 13
2012: 20
2013: 47
2014: 29
2015: 39
2016: 71
2017: 109
2018: 147
2019: 285
2020: 310
2021: 406
2022: 362
2023: 464
2024: 301
2025: 225
2026: 75
Papers
Class-prior Estimation for Learning from Positive and Unlabeled Data
ACML 2015
Confidence Preserving Machine for Facial Action Unit Detection
ICCV 2015
Matrix Completion with Noisy Side Information
NIPS 2015
Semi-Supervised Interpolation in an Anticausal Learning Scenario
JMLR 2015
Weakly- and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation
ICCV 2015
Learning The Structure of Deep Convolutional Networks
ICCV 2015
Learning Overcomplete Latent Variable Models through Tensor Methods
COLT 2015
Semi-Supervised Zero-Shot Classification With Label Representation Learning
ICCV 2015
On Semi-Supervised Linear Regression in Covariate Shift Problems
JMLR 2015
Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning
ICCV 2015
Context-Guided Diffusion for Label Propagation on Graphs
ICCV 2015
ML-MG: Multi-Label Learning With Missing Labels Using a Mixed Graph
ICCV 2015
Adaptively Unified Semi-Supervised Dictionary Learning With Active Points
ICCV 2015
Semi-Supervised Normalized Cuts for Image Segmentation
ICCV 2015
Illumination Robust Color Naming via Label Propagation
ICCV 2015
Optimally Combining Classifiers Using Unlabeled Data
COLT 2015
Local High-Order Regularization on Data Manifolds
CVPR 2015
Optimal Graph Learning With Partial Tags and Multiple Features for Image and Video Annotation
CVPR 2015
Semi-Supervised Learning With Explicit Relationship Regularization
CVPR 2015
Semi-supervised Learning with Deep Generative Models
NIPS 2014
High Order Regularization for Semi-Supervised Learning of Structured Output Problems
ICML 2014
Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically
ICML 2014
Transductive Learning with Multi-class Volume Approximation
ICML 2014
Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques
ICML 2014
Wasserstein Propagation for Semi-Supervised Learning
ICML 2014
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