SOTAVerified

Unsupervised Pre-training

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

Papers

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Showing 241–250 of 265 papers

TitleStatusHype
DiscrimNet: Semi-Supervised Action Recognition from Videos using Generative Adversarial Networks—0
Post-training for Deep Learning—0
Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task Learning—0
Enhance Visual Recognition under Adverse Conditions via Deep Networks—0
Self-Supervised Relative Depth Learning for Urban Scene Understanding—0
A Pitfall of Unsupervised Pre-Training—0
Discovery of Visual Semantics by Unsupervised and Self-Supervised Representation Learning—0
A Pitfall of Unsupervised Pre-Training—0
Unsupervised Pre-training With Seq2Seq Reconstruction Loss for Deep Relation Extraction Models—0
Learning Deep Representations Using Convolutional Auto-encoders with Symmetric Skip ConnectionsCode0
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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