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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
Incremental Machine Speech Chain Towards Enabling Listening While Speaking in Real-Time
INTERSPEECH 2020
SCADA: Stochastic, Consistent and Adversarial Data Augmentation to Improve ASR
INTERSPEECH 2020
Augmenting Images for ASR and TTS Through Single-Loop and Dual-Loop Multimodal Chain Framework
INTERSPEECH 2020
“This is Houston. Say again, please”. The Behavox System for the Apollo-11 Fearless Steps Challenge (Phase II)
INTERSPEECH 2020
A Joint Framework for Audio Tagging and Weakly Supervised Acoustic Event Detection Using DenseNet with Global Average Pooling
INTERSPEECH 2020
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization
AAAI 2020
Semi-Supervised Streaming Learning with Emerging New Labels
AAAI 2020
Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning
AAAI 2020
Semi-Supervised Learning under Class Distribution Mismatch
AAAI 2020
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes
AAAI 2020
Adversarial Transformations for Semi-Supervised Learning
AAAI 2020
Repetitive Reprediction Deep Decipher for Semi-Supervised Learning
AAAI 2020
Hypergraph Label Propagation Network
AAAI 2020
An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training
AAAI 2020
Grapy-ML: Graph Pyramid Mutual Learning for Cross-Dataset Human Parsing
AAAI 2020
Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition
AAAI 2020
CASTER: Predicting Drug Interactions with Chemical Substructure Representation
AAAI 2020
Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning
AAAI 2020
Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data
AAAI 2020
Co-GCN for Multi-View Semi-Supervised Learning
AAAI 2020
Dual Relation Semi-Supervised Multi-Label Learning
AAAI 2020
3D Human Pose Estimation Using Spatio-Temporal Networks with Explicit Occlusion Training
AAAI 2020
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with K-Means Features
AAAI 2020
SSAH: Semi-Supervised Adversarial Deep Hashing with Self-Paced Hard Sample Generation
AAAI 2020
Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification
AAAI 2020
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