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
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
SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug DiscoveryCode0
MML: Maximal Multiverse Learning for Robust Fine-Tuning of Language ModelsCode0
Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification—0
Empirical Evaluation of Active Learning Techniques for Neural MT—0
Recognizing UMLS Semantic Types with Deep Learning—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