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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
Uncertainty-aware Self-training for Few-shot Text Classification
NIPS 2020
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference
NIPS 2020
One-bit Supervision for Image Classification
NIPS 2020
Semi-Supervised Bilingual Lexicon Induction with Two-way Interaction
EMNLP 2020
AutoDAL: Distributed Active Learning with Automatic Hyperparameter Selection
AAAI 2020
Near-Optimal Comparison Based Clustering
NIPS 2020
VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain
NIPS 2020
Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition
CVPR 2020
3D Sketch-Aware Semantic Scene Completion via Semi-Supervised Structure Prior
CVPR 2020
Learning to Detect Important People in Unlabelled Images for Semi-Supervised Important People Detection
CVPR 2020
Non-Parallel Voice Conversion with Fewer Labeled Data by Conditional Generative Adversarial Networks
INTERSPEECH 2020
Generalized Product Quantization Network for Semi-Supervised Image Retrieval
CVPR 2020
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
NIPS 2020
Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder
ACL 2020
Feature-Metric Registration: A Fast Semi-Supervised Approach for Robust Point Cloud Registration Without Correspondences
CVPR 2020
Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation
ACL 2020
Graph Random Neural Networks for Semi-Supervised Learning on Graphs
NIPS 2020
Early-Learning Regularization Prevents Memorization of Noisy Labels
NIPS 2020
Time-Consistent Self-Supervision for Semi-Supervised Learning
ICML 2020
WMD at SemEval-2020 Tasks 7 and 11: Assessing Humor and Propaganda Using Unsupervised Data Augmentation
SEMEVAL 2020
DeepDeform: Learning Non-Rigid RGB-D Reconstruction With Semi-Supervised Data
CVPR 2020
NLPDove at SemEval-2020 Task 12: Improving Offensive Language Detection with Cross-lingual Transfer
SEMEVAL 2020
Multiple Instance Learning for Content Feedback Localization without Annotation
ACL 2020
Learnability with Indirect Supervision Signals
NIPS 2020
Semi-supervised Parsing with a Variational Autoencoding Parser
ACL 2020
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