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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
Improving Code-Switching Dependency Parsing with Semi-Supervised Auxiliary Tasks
NAACL 2022
Arabic Dialect Identification with a Few Labeled Examples Using Generative Adversarial Networks
IJCNLP 2022
SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding
COLING 2022
SelfMix: Robust Learning against Textual Label Noise with Self-Mixup Training
COLING 2022
Cluster-aware Pseudo-Labeling for Supervised Open Relation Extraction
COLING 2022
STAD: Self-Training with Ambiguous Data for Low-Resource Relation Extraction
COLING 2022
Programmable Annotation with Diversed Heuristics and Data Denoising
COLING 2022
Multimodal Semi-supervised Learning for Disaster Tweet Classification
COLING 2022
Towards Summarizing Healthcare Questions in Low-Resource Setting
COLING 2022
WARM: A Weakly (+Semi) Supervised Math Word Problem Solver
COLING 2022
On Synthetic Data for Back Translation
NAACL 2022
WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding
NAACL 2022
Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media
NAACL 2022
Progressive Class Semantic Matching for Semi-supervised Text Classification
NAACL 2022
Consistency Training with Virtual Adversarial Discrete Perturbation
NAACL 2022
AB/BA analysis: A framework for estimating keyword spotting recall improvement while maintaining audio privacy
NAACL 2022
How to Leverage Unlabeled Data in Offline Reinforcement Learning
ICML 2022
Deep Transductive Transfer Regression Network for Cross-Corpus Speech Emotion Recognition
INTERSPEECH 2022
PLCNet: Real-time Packet Loss Concealment with Semi-supervised Generative Adversarial Network
INTERSPEECH 2022
FedNST: Federated Noisy Student Training for Automatic Speech Recognition
INTERSPEECH 2022
GenCo: Generative Co-training for Generative Adversarial Networks with Limited Data
AAAI 2022
Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations
AAAI 2022
Semi-supervised Learning with Multi-Head Co-Training
AAAI 2022
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning
AAAI 2022
Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels
AAAI 2022
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