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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
A Complementary Joint Training Approach Using Unpaired Speech and Text A Complementary Joint Training Approach Using Unpaired Speech and Text
INTERSPEECH 2022
TWIST: Two-Way Inter-Label Self-Training for Semi-Supervised 3D Instance Segmentation
CVPR 2022
SIOD: Single Instance Annotated per Category per Image for Object Detection
CVPR 2022
Dual-Level Adaptive Information Filtering for Interactive Image Segmentation
AISTATS 2022
Learning To Imagine: Diversify Memory for Incremental Learning Using Unlabeled Data
CVPR 2022
UM6P-CS at SemEval-2022 Task 11: Enhancing Multilingual and Code-Mixed Complex Named Entity Recognition via Pseudo Labels using Multilingual Transformer
SEMEVAL 2022
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift
AISTATS 2022
LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness
NIPS 2022
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics
NIPS 2022
Simplified Graph Convolution with Heterophily
NIPS 2022
Debiased Self-Training for Semi-Supervised Learning
NIPS 2022
Semi-Supervised Generative Models for Multiagent Trajectories
NIPS 2022
Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant
NIPS 2022
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
NIPS 2022
Continual Learning with Evolving Class Ontologies
NIPS 2022
TransBoost: Improving the Best ImageNet Performance using Deep Transduction
NIPS 2022
Optimizing Data Collection for Machine Learning
NIPS 2022
Stackmix: a complementary mix algorithm
UAI 2022
Category-Level 6D Object Pose Estimation in the Wild: A Semi-Supervised Learning Approach and A New Dataset
NIPS 2022
A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity
NIPS 2022
Uncertainty-aware pseudo-labeling for quantum calculations
UAI 2022
Neuro-symbolic entropy regularization
UAI 2022
Internal Language Model Adaptation with Text-Only Data for End-to-End Speech Recognition
INTERSPEECH 2022
Speaker consistency loss and step-wise optimization for semi-supervised joint training of TTS and ASR using unpaired text data
INTERSPEECH 2022
Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer
MIDL 2022
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