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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
Deep Semi-Supervised Metric Learning With Mixed Label Propagation
CVPR 2023
Improved Pseudo Data for Machine Translation Quality Estimation with Constrained Beam Search
EMNLP 2023
JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification
EMNLP 2023
Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting
EMNLP 2023
Semi-supervised Relation Extraction via Data Augmentation and Consistency-training
EACL 2023
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis
ICML 2023
Zero-Shot Pose Transfer for Unrigged Stylized 3D Characters
CVPR 2023
SynthVSR: Scaling Up Visual Speech Recognition With Synthetic Supervision
CVPR 2023
CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning
CVPR 2023
Characterizing the Impacts of Semi-supervised Learning for Weak Supervision
NIPS 2023
Scaling Neural ITN for Numbers and Temporal Expressions in Tamil: Findings for an Agglutinative Low-resource Language
EMNLP 2023
Semi-supervised Learning with Contrastive and Topology Losses for Catheter Segmentation and Misplacement Prediction
MIDL 2023
Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment
NIPS 2023
SentiStream: A Co-Training Framework for Adaptive Online Sentiment Analysis in Evolving Data Streams
EMNLP 2023
MixTEA: Semi-supervised Entity Alignment with Mixture Teaching
EMNLP 2023
Models Teaching Models: Improving Model Accuracy with Slingshot Learning
EACL 2023
Test-time Adaptation with Slot-Centric Models
ICML 2023
Tsingriver at SemEval-2023 Task 10: Labeled Data Augmentation in Consistency Training
ACL 2023
People and Places of Historical Europe: Bootstrapping Annotation Pipeline and a New Corpus of Named Entities in Late Medieval Texts
ACL 2023
FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning
NIPS 2023
NUS-IDS at PragTag-2023: Improving Pragmatic Tagging of Peer Reviews through Unlabeled Data
EMNLP 2023
Exploiting Diversity of Automatic Transcripts from Distinct Speech Recognition Techniques for Children’s Speech
INTERSPEECH 2023
Combining Multilingual Resources and Models to Develop State-of-the-Art E2E ASR for Swedish
INTERSPEECH 2023
Emotional Voice Conversion with Semi-Supervised Generative Modeling
INTERSPEECH 2023
ML Mob at SemEval-2023 Task 5: “Breaking News: Our Semi-Supervised and Multi-Task Learning Approach Spoils Clickbait”
SEMEVAL 2023
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