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 61–70 of 265 papers

TitleStatusHype
Spatiotemporal Contrastive Video Representation LearningCode1
FedAUX: Leveraging Unlabeled Auxiliary Data in Federated LearningCode1
Initialization and Regularization of Factorized Neural LayersCode1
MAGNeto: An Efficient Deep Learning Method for the Extractive Tags Summarization ProblemCode1
BMRetriever: Tuning Large Language Models as Better Biomedical Text RetrieversCode1
Pre-training strategies and datasets for facial representation learningCode1
DOBF: A Deobfuscation Pre-Training Objective for Programming LanguagesCode1
DocILE Benchmark for Document Information Localization and ExtractionCode1
Don't Stop Pretraining? Make Prompt-based Fine-tuning Powerful LearnerCode1
Unsupervised Pre-Training For Data-Efficient Text-to-Speech On Low Resource LanguagesCode1
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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