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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
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth
CVPR 2021
Self-Supervised Learning for Semi-Supervised Temporal Action Proposal
CVPR 2021
Self-Supervised Wasserstein Pseudo-Labeling for Semi-Supervised Image Classification
CVPR 2021
SLADE: A Self-Training Framework for Distance Metric Learning
CVPR 2021
Three Ways To Improve Semantic Segmentation With Self-Supervised Depth Estimation
CVPR 2021
Semantic Segmentation With Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization
CVPR 2021
Learning to Track Instances without Video Annotations
CVPR 2021
Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning
CVPR 2021
Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation
CVPR 2021
DatasetGAN: Efficient Labeled Data Factory With Minimal Human Effort
CVPR 2021
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding
CVPR 2021
VirFace: Enhancing Face Recognition via Unlabeled Shallow Data
CVPR 2021
Comparison of Remote Experiments Using Crowdsourcing and Laboratory Experiments on Speech Intelligibility
INTERSPEECH 2021
Co-training for Commit Classification
EMNLP 2021
Semi-supervised Intent Discovery with Contrastive Learning
EMNLP 2021
Multilingual and Multilabel Emotion Recognition using Virtual Adversarial Training
EMNLP 2021
Challenging the Semi-Supervised VAE Framework for Text Classification
EMNLP 2021
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension
EMNLP 2021
Semi-Supervised Active Learning With Temporal Output Discrepancy
ICCV 2021
Minimal Supervision for Morphological Inflection
EMNLP 2021
SPLAT: Speech-Language Joint Pre-Training for Spoken Language Understanding
NAACL 2021
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP
EMNLP 2021
Multitask Semi-Supervised Learning for Class-Imbalanced Discourse Classification
EMNLP 2021
A Simple Baseline for Semi-Supervised Semantic Segmentation With Strong Data Augmentation
ICCV 2021
CoMatch: Semi-Supervised Learning With Contrastive Graph Regularization
ICCV 2021
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