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 91–100 of 265 papers

TitleStatusHype
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning—0
Automatic Sexism Detection with Multilingual Transformer Models—0
A Brief Summary of Interactions Between Meta-Learning and Self-Supervised Learning—0
Corruption Is Not All Bad: Incorporating Discourse Structure into Pre-training via Corruption for Essay Scoring—0
Convergence of gradient based pre-training in Denoising autoencoders—0
Automated clinical coding using off-the-shelf large language models—0
Foundation Model for Wireless Technology Recognition Using IQ Timeseries—0
On Architectures and Training for Raw Waveform Feature Extraction in ASR—0
Faster learning of deep stacked autoencoders on multi-core systems using synchronized layer-wise pre-training—0
Author2Vec: A Framework for Generating User Embedding—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