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Methodology
← Learning Types
Machine Learning
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Learning Types
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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
Towards Few-Annotation Learning for Object Detection: Are Transformer-Based Models More Efficient?
WACV 2023
When does Privileged information Explain Away Label Noise?
ICML 2023
CrossSplit: Mitigating Label Noise Memorization through Data Splitting
ICML 2023
Alternately Optimized Graph Neural Networks
ICML 2023
Augmented Transfer Regression Learning with Semi-non-parametric Nuisance Models
JMLR 2023
CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised Learning
CVPR 2023
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning
NIPS 2023
Temporal Label Smoothing for Early Event Prediction
ICML 2023
Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs
ICML 2023
Risk Bounds for Positive-Unlabeled Learning Under the Selected At Random Assumption
JMLR 2023
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis
ICML 2023
Importance Weighted Expectation-Maximization for Protein Sequence Design
ICML 2023
Semi-supervised Learning with Contrastive and Topology Losses for Catheter Segmentation and Misplacement Prediction
MIDL 2023
Revisiting Pseudo-Label for Single-Positive Multi-Label Learning
ICML 2023
Understanding Self-Distillation in the Presence of Label Noise
ICML 2023
Improving Unsupervised Out-of-domain detection through Pseudo Labeling and Learning
EACL 2023
Doubly-Robust Self-Training
NIPS 2023
Differentiable sorting for censored time-to-event data.
NIPS 2023
Knowledge-Spreader: Learning Semi-Supervised Facial Action Dynamics by Consistifying Knowledge Granularity
ICCV 2023
DQS3D: Densely-matched Quantization-aware Semi-supervised 3D Detection
ICCV 2023
A Training and Inference Strategy Using Noisy and Enhanced Speech as Target for Speech Enhancement without Clean Speech
INTERSPEECH 2023
Semi-supervised Speech-driven 3D Facial Animation via Cross-modal Encoding
ICCV 2023
PADCLIP: Pseudo-labeling with Adaptive Debiasing in CLIP for Unsupervised Domain Adaptation
ICCV 2023
Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning
NIPS 2023
CFCG: Semi-Supervised Semantic Segmentation via Cross-Fusion and Contour Guidance Supervision
ICCV 2023
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