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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
HITSZQ at SemEval-2023 Task 10: Category-aware Sexism Detection Model with Self-training Strategy
SEMEVAL 2023
NLP_CHRISTINE at SemEval-2023 Task 10: Utilizing Transformer Contextual Representations and Ensemble Learning for Sexism Detection on Social Media Texts
SEMEVAL 2023
JCT at SemEval-2023 Tasks 12 A and 12B: Sentiment Analysis for Tweets Written in Low-resource African Languages using Various Machine Learning and Deep Learning Methods, Resampling, and HyperParameter Tuning
SEMEVAL 2023
Label Distribution Changing Learning with Sample Space Expanding
JMLR 2023
Pseudo-label Alignment for Semi-supervised Instance Segmentation
ICCV 2023
Semi-supervised Relation Extraction via Data Augmentation and Consistency-training
EACL 2023
A New Comprehensive Benchmark for Semi-Supervised Video Anomaly Detection and Anticipation
CVPR 2023
A Soft Nearest-Neighbor Framework for Continual Semi-Supervised Learning
ICCV 2023
XMem++: Production-level Video Segmentation From Few Annotated Frames
ICCV 2023
Not Every Side Is Equal: Localization Uncertainty Estimation for Semi-Supervised 3D Object Detection
ICCV 2023
Sparsely Annotated Semantic Segmentation With Adaptive Gaussian Mixtures
CVPR 2023
Interactive Machine Learning Solutions for Acoustic Monitoring of Animal Wildlife in Biosphere Reserves
IJCAI 2023
Machine Learning Force Fields with Data Cost Aware Training
ICML 2023
Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction
JMLR 2023
HyperMatch: Noise-Tolerant Semi-Supervised Learning via Relaxed Contrastive Constraint
CVPR 2023
KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation
IJCAI 2023
Open-world Semi-supervised Novel Class Discovery
IJCAI 2023
Minimally Supervised Contextual Inference from Human Mobility: An Iterative Collaborative Distillation Framework
IJCAI 2023
LION: Label Disambiguation for Semi-supervised Facial Expression Recognition with Progressive Negative Learning
IJCAI 2023
Generalization Guarantees of Self-Training of Halfspaces under Label Noise Corruption
IJCAI 2023
Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery
CVPR 2023
Box-Level Active Detection
CVPR 2023
Graph-based Semi-supervised Local Clustering with Few Labeled Nodes
IJCAI 2023
Generalized Discriminative Deep Non-Negative Matrix Factorization Based on Latent Feature and Basis Learning
IJCAI 2023
A Picture of the Space of Typical Learnable Tasks
ICML 2023
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