Semi-Supervised Learning Methods

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General • 27 methods

Semi-Supervised Learning methods leverage unlabelled data as well as labelled data to increase performance on machine learning tasks. Below you can find a continuously updating list of semi-supervised learning methods (this may have overlap with self-supervised methods due to evaluation protocol similarity).

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Method	Year	Papers
MoCo Momentum Contrast for Unsupervised Visual Representation Learning	2019	146
Contrastive Predictive Coding Representation Learning with Contrastive Predictive Coding	2018	109
FixMatch FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence	2020	84
SPS A Novel Neural Network Training Method for Autonomous Driving Using Semi-Pseudo-Labels and 3D Data Augmentations	2022	44
SPL A Novel Neural Network Training Method for Autonomous Driving Using Semi-Pseudo-Labels and 3D Data Augmentations	2022	41
Noisy Student Self-training with Noisy Student improves ImageNet classification	2019	35
Transductive Inference Transductive Inference and Semi-Supervised Learning	2006	33
MoCo v2 Improved Baselines with Momentum Contrastive Learning	2020	30
LPM Semi-Supervised Speech Recognition via Local Prior Matching	2020	17
IPL Iterative Pseudo-Labeling for Speech Recognition	2020	17
Gradual Self-Training Understanding Self-Training for Gradual Domain Adaptation	2020	8
STAC A Simple Semi-Supervised Learning Framework for Object Detection	2020	8
Pattern-Exploiting Training Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference	2020	6
DifferNet Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows	2020	5
Meta Pseudo Labels Meta Pseudo Labels	2020	4
SimCLRv2 Big Self-Supervised Models are Strong Semi-Supervised Learners	2020	4
MixText MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification	2020	3
M3L Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation	2023	2
CPC v2 Data-Efficient Image Recognition with Contrastive Predictive Coding	2019	1
MAD Learning Memory-Associated Differential Learning	2021	1
PinvGCN Pseudoinverse Graph Convolutional Networks: Fast Filters Tailored for Large Eigengaps of Dense Graphs and Hypergraphs	2020	1
State-Aware Tracker State-Aware Tracker for Real-Time Video Object Segmentation	2020	1
STraTA STraTA: Self-Training with Task Augmentation for Better Few-shot Learning	2021	1
SKEP SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis	2020	1

Semi-Supervised Learning Methods Edit

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Semi-Supervised Learning Methods

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