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 221–230 of 265 papers

TitleStatusHype
Maximal Multiverse Learning for Promoting Cross-Task Generalization of Fine-Tuned Language Models—0
Measles Rash Identification Using Residual Deep Convolutional Neural Network—0
MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning—0
Multi-Modal Unsupervised Pre-Training for Surgical Operating Room Workflow Analysis—0
Multi-Stage Multi-Modal Pre-Training for Automatic Speech Recognition—0
On the Generalization Ability of Unsupervised Pretraining—0
Unsupervised Deep Representation Learning and Few-Shot Classification of PolSAR Images—0
Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting—0
Post-training for Deep Learning—0
Pre-Training and Fine-Tuning Generative Flow Networks—0
Show:102550
← PrevPage 23 of 27Next →
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