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 151–160 of 265 papers

TitleStatusHype
Faster learning of deep stacked autoencoders on multi-core systems using synchronized layer-wise pre-training—0
On Architectures and Training for Raw Waveform Feature Extraction in ASR—0
Foundation Model for Wireless Technology Recognition Using IQ Timeseries—0
GFlowNet Pretraining with Inexpensive Rewards—0
GiBERT: Introducing Linguistic Knowledge into BERT through a Lightweight Gated Injection Method—0
HindiLLM: Large Language Model for Hindi—0
Improving Abstractive Dialogue Summarization with Hierarchical Pretraining and Topic Segment—0
Improving On-Screen Sound Separation for Open-Domain Videos with Audio-Visual Self-Attention—0
Incomplete Multi-View Multi-label Learning via Disentangled Representation and Label Semantic Embedding—0
Incorporating Unlabelled Data into Bayesian Neural Networks—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