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 61–70 of 265 papers

TitleStatusHype
CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation—0
Classifying Whole Slide Images: What Matters?—0
Pre-Training and Fine-Tuning Generative Flow Networks—0
Differentially Private Optimization for Non-Decomposable Objective Functions—0
A Brief History of Prompt: Leveraging Language Models. (Through Advanced Prompting)—0
Unsupervised Pre-Training for Vietnamese Automatic Speech Recognition in the HYKIST Project—0
Examining the Effect of Pre-training on Time Series Classification—0
Self-Supervised Pre-Training Boosts Semantic Scene Segmentation on LiDAR DataCode0
Enhancing the vocal range of single-speaker singing voice synthesis with melody-unsupervised pre-training—0
Masked Feature Modelling: Feature Masking for the Unsupervised Pre-training of a Graph Attention Network Block for Bottom-up Video Event Recognition—0
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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