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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
MAT-SED: A Masked Audio Transformer with Masked-Reconstruction Based Pre-training for Sound Event Detection
INTERSPEECH 2024
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning
CVPR 2024
Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning
ACL 2024
Exploring Self-Supervised Multi-view Contrastive Learning for Speech Emotion Recognition with Limited Annotations
INTERSPEECH 2024
Making Better Use of Unlabelled Data in Bayesian Active Learning
AISTATS 2024
Co-training for Low Resource Scientific Natural Language Inference
ACL 2024
RECOST: External Knowledge Guided Data-efficient Instruction Tuning
ACL 2024
ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning
AAAI 2024
LSPAN: Spectrally Localized Augmentation for Graph Consistency Learning
IJCAI 2024
Exploiting Multi-Label Correlation in Label Distribution Learning
IJCAI 2024
Revealing the Two Sides of Data Augmentation: An Asymmetric Distillation-based Win-Win Solution for Open-Set Recognition
IJCAI 2024
A Semi-supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness Constraint
CVPR 2024
A Semi-supervised Molecular Learning Framework for Activity Cliff Estimation
IJCAI 2024
Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning
IJCAI 2024
A Systematic Survey on Federated Semi-supervised Learning
IJCAI 2024
Private Learning with Public Features
AISTATS 2024
Fairness-Aware Online Positive-Unlabeled Learning
EMNLP 2024
Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models
AAAI 2024
Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection
AISTATS 2024
Semi-Supervised Semantic Depth Estimation Using Symbiotic Transformer and NearFarMix Augmentation
WACV 2024
Weak-to-Strong 3D Object Detection with X-Ray Distillation
CVPR 2024
S3AD: Semi-Supervised Small Apple Detection in Orchard Environments
WACV 2024
Inferring Iterated Function Systems Approximately from Fractal Images
IJCAI 2024
DuRE: Dual Contrastive Self Training for Semi-Supervised Relation Extraction
NAACL 2024
Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation
ACL 2024
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