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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
Multi-Task Learning for Diabetic Retinopathy Grading and Lesion Segmentation
AAAI 2020
Self-Supervised, Semi-Supervised, Multi-Context Learning for the Combined Classification and Segmentation of Medical Images (Student Abstract)
AAAI 2020
Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios
AAAI 2020
Verb Class Induction with Partial Supervision
AAAI 2020
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering
NIPS 2020
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement
NIPS 2020
Local Additivity Based Data Augmentation for Semi-supervised NER
EMNLP 2020
Partially-Aligned Data-to-Text Generation with Distant Supervision
EMNLP 2020
Semi-supervised URL Segmentation with Recurrent Neural Networks Pre-trained on Knowledge Graph Entities
COLING 2020
Semi-Supervised Self-Produced Speech Enhancement and Suppression Based on Joint Source Modeling of Air- and Body-Conducted Signals Using Variational Autoencoder
INTERSPEECH 2020
Polishing the Classical Likelihood Ratio Test by Supervised Learning for Voice Activity Detection
INTERSPEECH 2020
Are Noisy Sentences Useless for Distant Supervised Relation Extraction?
AAAI 2020
Identifying Incorrect Labels in the CoNLL-2003 Corpus
EMNLP 2020
Unsupervised Data Augmentation for Consistency Training
NIPS 2020
An Evaluation of Manual and Semi-Automatic Laughter Annotation
INTERSPEECH 2020
Improving Disfluency Detection by Self-Training a Self-Attentive Model
ACL 2020
Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals
AAAI 2020
VoiceID on the Fly: A Speaker Recognition System that Learns from Scratch
INTERSPEECH 2020
Learning from Label Proportions with Consistency Regularization
ACML 2020
DPGN: Distribution Propagation Graph Network for Few-Shot Learning
CVPR 2020
Big Self-Supervised Models are Strong Semi-Supervised Learners
NIPS 2020
Improving End-to-End Bangla Speech Recognition with Semi-supervised Training
EMNLP 2020
Dynamically Updating Event Representations for Temporal Relation Classification with Multi-category Learning
EMNLP 2020
ETHAN at SemEval-2020 Task 5: Modelling Causal Reasoning in Language Using Neuro-symbolic Cloud Computing
COLING 2020
A Semi-Supervised Assessor of Neural Architectures
CVPR 2020
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