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 171–180 of 265 papers

TitleStatusHype
Research on CPI Prediction Based on Natural Language Processing—0
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images—0
Risk Assessment Framework for Code LLMs via Leveraging Internal States—0
R-LAtte: Attention Module for Visual Control via Reinforcement Learning—0
Self-FuseNet: Data Free Unsupervised Remote Sensing Image Super-Resolution—0
Self-Supervised Relative Depth Learning for Urban Scene Understanding—0
Semi-supervised Facial Action Unit Intensity Estimation with Contrastive Learning—0
Semi-Supervised Semantic Segmentation of Cell Nuclei via Diffusion-based Large-Scale Pre-Training and Collaborative Learning—0
SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training—0
SMiRL: Surprise Minimizing RL in Entropic Environments—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