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 141–150 of 265 papers

TitleStatusHype
What Makes for Good Views for Contrastive Learning?—0
Unsupervised Deep Feature Extraction for Remote Sensing Image Classification—0
3D Intracranial Aneurysm Classification and Segmentation via Unsupervised Dual-branch Learning—0
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding—0
A Benchmark of Nested Named Entity Recognition Approaches in Historical Structured Documents—0
A Brief History of Prompt: Leveraging Language Models. (Through Advanced Prompting)—0
A Brief Summary of Interactions Between Meta-Learning and Self-Supervised Learning—0
ACROBAT -- a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology—0
Adversarial Ladder Networks—0
An Investigation of Noise Robustness for Flow-Matching-Based Zero-Shot TTS—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