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 151–160 of 265 papers

TitleStatusHype
Spiral Contrastive Learning: An Efficient 3D Representation Learning Method for Unannotated CT Lesions—0
Evaluate Confidence Instead of Perplexity for Zero-shot Commonsense Reasoning—0
Multi-Modal Unsupervised Pre-Training for Surgical Operating Room Workflow Analysis—0
Unsupervised Instance Discriminative Learning for Depression Detection from Speech Signals—0
Contextual embedding and model weighting by fusing domain knowledge on Biomedical Question AnsweringCode0
Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text GenerationCode0
Deep Features for CBIR with Scarce Data using Hebbian Learning—0
COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse LiDAR datasetsCode0
Boundary-aware Information Maximization for Self-supervised Medical Image Segmentation—0
3D Intracranial Aneurysm Classification and Segmentation via Unsupervised Dual-branch Learning—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