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 241–250 of 265 papers

TitleStatusHype
Self-FuseNet: Data Free Unsupervised Remote Sensing Image Super-Resolution—0
Self-Supervised Relative Depth Learning for Urban Scene Understanding—0
Semi-supervised Facial Action Unit Intensity Estimation with Contrastive Learning—0
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification—0
Semi-Supervised Semantic Segmentation of Cell Nuclei via Diffusion-based Large-Scale Pre-Training and Collaborative Learning—0
SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training—0
SMiRL: Surprise Minimizing RL in Entropic Environments—0
Spiral Contrastive Learning: An Efficient 3D Representation Learning Method for Unannotated CT Lesions—0
SYNFIX: Automatically Fixing Syntax Errors using Compiler Diagnostics—0
Synthetic vascular structure generation for unsupervised pre-training in CTA segmentation tasks—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