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 41–50 of 265 papers

TitleStatusHype
A Transformer-based Framework for Multivariate Time Series Representation LearningCode1
Image Representations Learned With Unsupervised Pre-Training Contain Human-like BiasesCode1
A Further Study of Unsupervised Pre-training for Transformer Based Speech RecognitionCode1
Exploring the Limits of Out-of-Distribution DetectionCode1
End-to-End Training of Neural Retrievers for Open-Domain Question AnsweringCode1
ES-Net: An Efficient Stereo Matching NetworkCode1
BMRetriever: Tuning Large Language Models as Better Biomedical Text RetrieversCode1
AI-Bind: Improving Binding Predictions for Novel Protein Targets and LigandsCode1
DOBF: A Deobfuscation Pre-Training Objective for Programming LanguagesCode1
Improving Transformer-based Speech Recognition Using Unsupervised Pre-trainingCode1
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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