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 161–170 of 265 papers

TitleStatusHype
FedAUX: Leveraging Unlabeled Auxiliary Data in Federated LearningCode1
SEED: Self-supervised Distillation For Visual RepresentationCode1
AT-BERT: Adversarial Training BERT for Acronym Identification Winning Solution for SDU@AAAI-21—0
End-to-End Training of Neural Retrievers for Open-Domain Question AnsweringCode1
Unsupervised Active Pre-Training for Reinforcement Learning—0
R-LAtte: Attention Module for Visual Control via Reinforcement Learning—0
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised LearningCode1
TabTransformer: Tabular Data Modeling Using Contextual EmbeddingsCode1
Unsupervised Pre-training for Person Re-identificationCode1
Machine Translation Pre-training for Data-to-Text Generation - A Case Study in Czech—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