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 111–120 of 265 papers

TitleStatusHype
Learning Non-Linear Reconstruction Models for Image Set Classification—0
Machine Translation Pre-training for Data-to-Text Generation - A Case Study in Czech—0
FairSISA: Ensemble Post-Processing to Improve Fairness of Unlearning in LLMs—0
Generalized 3D Self-supervised Learning Framework via Prompted Foreground-Aware Feature Contrast—0
Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task Learning—0
Incomplete Multi-View Multi-label Learning via Disentangled Representation and Label Semantic Embedding—0
Incorporating Unlabelled Data into Bayesian Neural Networks—0
Extractive NarrativeQA with Heuristic Pre-Training—0
Is MixIT Really Unsuitable for Correlated Sources? Exploring MixIT for Unsupervised Pre-training in Music Source Separation—0
Extracting UMLS Concepts from Medical Text Using General and Domain-Specific Deep Learning Models—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