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 31–40 of 265 papers

TitleStatusHype
Self-Supervised Visual Representation Learning with Semantic GroupingCode1
Semi-supervised 3D shape segmentation with multilevel consistency and part substitutionCode1
ELECTRIcity: An Efficient Transformer for Non-Intrusive Load MonitoringCode1
Reinforcement Learning with Action-Free Pre-Training from VideosCode1
Unsupervised Pre-training for Temporal Action Localization TasksCode1
Unsupervised Pre-Training on Patient Population Graphs for Patient-Level PredictionsCode1
The CLEAR Benchmark: Continual LEArning on Real-World ImageryCode1
Korean-Specific Dataset for Table Question AnsweringCode1
AI-Bind: Improving Binding Predictions for Novel Protein Targets and LigandsCode1
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual RepresentationsCode1
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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