SOTAVerified

Unsupervised Pre-training

Pre-training a neural network using unsupervised (self-supervised) auxiliary tasks on unlabeled data.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–210 of 265 papers

TitleStatusHype
Unsupervised Deep Representation Learning and Few-Shot Classification of PolSAR Images—0
What Makes for Good Views for Contrastive Learning?—0
Measles Rash Identification Using Residual Deep Convolutional Neural Network—0
Lottery Hypothesis based Unsupervised Pre-training for Model Compression in Federated Learning—0
Pre-training Text Representations as Meta Learning—0
Author2Vec: A Framework for Generating User Embedding—0
Transfer Learning for Context-Aware Spoken Language Understanding—0
Unsupervised Pre-trained, Texture Aware And Lightweight Model for Deep Learning-Based Iris Recognition Under Limited Annotated Data—0
Synthetic vascular structure generation for unsupervised pre-training in CTA segmentation tasks—0
Unsupervised Pre-training for Natural Language Generation: A Literature Review—0
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All datasetsMeaslesUCI measles

Benchmark Results

#ModelMetricClaimedVerifiedStatus
115RDLsAccuracy (%)95—Unverified
29RDLsAccuracy (%)94—Unverified
33 RMDLAccuracy (%)93—Unverified
4CNNAccuracy (%)73—Unverified
5RMDLAccuracy (%)0.1—Unverified
#ModelMetricClaimedVerifiedStatus
1RMDL (30 RDLs)Sensitivity (VEB)90.69—Unverified
2Sensitivity89.1—Unverified
3RMDL 3 RDLsSensitivity0.87—Unverified