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 191–200 of 265 papers

TitleStatusHype
Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data—0
Triplet Contrastive Learning for Brain Tumor Classification—0
UHH-LT at SemEval-2019 Task 6: Supervised vs. Unsupervised Transfer Learning for Offensive Language Detection—0
Understanding Semantics from Speech Through Pre-training—0
Unleashing Potential of Unsupervised Pre-Training With Intra-Identity Regularization for Person Re-Identification—0
Unsupervised Active Pre-Training for Reinforcement Learning—0
Unsupervised Deep Feature Extraction for Remote Sensing Image Classification—0
Unsupervised Instance Discriminative Learning for Depression Detection from Speech Signals—0
Unsupervised Learning For Sequence-to-sequence Text-to-speech For Low-resource Languages—0
Unsupervised Learning with Truncated Gaussian Graphical Models—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