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 221–230 of 265 papers

TitleStatusHype
Understanding Semantics from Speech Through Pre-training—0
Bridging the domain gap in cross-lingual document classificationCode0
Effective training of deep convolutional neural networks for hyperspectral image classification through artificial labeling—0
Cross-Domain Training for Goal-Oriented Conversational Agents—0
Tuning Multilingual Transformers for Language-Specific Named Entity RecognitionCode0
Neural Grammatical Error Correction Systems with Unsupervised Pre-training on Synthetic DataCode0
Exploiting Unsupervised Pre-training and Automated Feature Engineering for Low-resource Hate Speech Detection in Polish—0
Improving Relation Extraction by Pre-trained Language RepresentationsCode0
Color Constancy Convolutional Autoencoder—0
UHH-LT at SemEval-2019 Task 6: Supervised vs. Unsupervised Transfer Learning for Offensive Language Detection—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