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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
Box-Level Active Detection
CVPR 2023
Semi-supervised Learning with Support Isolation by Small-Paced Self-Training
AAAI 2023
Sparsely Annotated Semantic Segmentation With Adaptive Gaussian Mixtures
CVPR 2023
HyperMatch: Noise-Tolerant Semi-Supervised Learning via Relaxed Contrastive Constraint
CVPR 2023
SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning
ICCV 2023
Temporal-Frequency Co-training for Time Series Semi-supervised Learning
AAAI 2023
Generalizing Math Word Problem Solvers via Solution Diversification
AAAI 2023
Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation
CVPR 2023
Exploring Stroke-Level Modifications for Scene Text Editing
AAAI 2023
Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection
CVPR 2023
Generating Synthetic Speech from SpokenVocab for Speech Translation
EACL 2023
Towards Professional Level Crowd Annotation of Expert Domain Data
CVPR 2023
Label efficient semi-supervised conversational intent classification
ACL 2023
Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning
ICML 2023
Semi-supervised Relation Extraction via Data Augmentation and Consistency-training
EACL 2023
Harmonious Teacher for Cross-Domain Object Detection
CVPR 2023
Neighborhood-Regularized Self-Training for Learning with Few Labels
AAAI 2023
Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery
CVPR 2023
RevUp: Revise and Update Information Bottleneck for Event Representation
EACL 2023
LaserMix for Semi-Supervised LiDAR Semantic Segmentation
CVPR 2023
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
CVPR 2023
Models Teaching Models: Improving Model Accuracy with Slingshot Learning
EACL 2023
Multi-Action Dialog Policy Learning from Logged User Feedback
AAAI 2023
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery
CVPR 2023
Parametric Classification for Generalized Category Discovery: A Baseline Study
ICCV 2023
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