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 161–170 of 265 papers

TitleStatusHype
BID: Boundary-Interior Decoding for Unsupervised Temporal Action Localization Pre-Trainin—0
Bi-tuning of Pre-trained Representations—0
Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt—0
Boundary-aware Information Maximization for Self-supervised Medical Image Segmentation—0
CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype Learning—0
Classifying Whole Slide Images: What Matters?—0
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion—0
Color Constancy Convolutional Autoencoder—0
Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification—0
Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task 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