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 41–50 of 265 papers

TitleStatusHype
BMRetriever: Tuning Large Language Models as Better Biomedical Text RetrieversCode1
DPER: Diffusion Prior Driven Neural Representation for Limited Angle and Sparse View CT Reconstruction—0
VietMed: A Dataset and Benchmark for Automatic Speech Recognition of Vietnamese in the Medical DomainCode0
Multi-Stage Multi-Modal Pre-Training for Automatic Speech Recognition—0
BID: Boundary-Interior Decoding for Unsupervised Temporal Action Localization Pre-Trainin—0
On the Generalization Ability of Unsupervised Pretraining—0
A Survey on Data Selection for Language ModelsCode3
Foundation Policies with Hilbert RepresentationsCode2
Attention-Guided Masked Autoencoders For Learning Image Representations—0
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion—0
Show:102550
← PrevPage 5 of 27Next →
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