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 131–140 of 265 papers

TitleStatusHype
Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech RecognitionCode1
Unsupervised Pre-training with Structured Knowledge for Improving Natural Language Inference—0
RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object DetectionCode1
Triplet Contrastive Learning for Brain Tumor Classification—0
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images—0
Improving On-Screen Sound Separation for Open-Domain Videos with Audio-Visual Self-Attention—0
Learning of feature points without additional supervision improves reinforcement learning from imagesCode0
Automatic Sexism Detection with Multilingual Transformer Models—0
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-trainingCode1
Exploring the Limits of Out-of-Distribution DetectionCode1
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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