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
A Pitfall of Unsupervised Pre-Training—0
A Pitfall of Unsupervised Pre-Training—0
Pre-training Graph Transformer with Multimodal Side Information for Recommendation—0
AT-BERT: Adversarial Training BERT for Acronym Identification Winning Solution for SDU@AAAI-21—0
Attention-Guided Masked Autoencoders For Learning Image Representations—0
Audio Transformers—0
Author2Vec: A Framework for Generating User Embedding—0
Automated clinical coding using off-the-shelf large language models—0
Automatic Sexism Detection with Multilingual Transformer Models—0
Bi-APC: Bidirectional Autoregressive Predictive Coding for Unsupervised Pre-training and Its Application to Children's ASR—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