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Unsupervised Pre-training

Pre-training a neural network using unsupervised (self-supervised) auxiliary tasks on unlabeled data.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 261–265 of 265 papers

Title	Date	Tasks	Status	Hype
Data-dependent Initializations of Convolutional Neural Networks	Nov 21, 2015	image-classificationImage Classification	CodeCode Available	0
Take Package as Language: Anomaly Detection Using Transformer	Nov 15, 2024	Anomaly DetectionIntrusion Detection	CodeCode Available	0
Advancing PICO Element Detection in Biomedical Text via Deep Neural Networks	Oct 30, 2018	feature selectionPICO	CodeCode Available	0
Bridging the domain gap in cross-lingual document classification	Sep 16, 2019	ClassificationCross-Domain Document Classification	CodeCode Available	0
BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning	Feb 7, 2019	Multi-Task LearningNatural Language Inference	CodeCode Available	0

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All datasets Measles UCI measles

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	15RDLs	Accuracy (%)	95	—	Unverified
2	9RDLs	Accuracy (%)	94	—	Unverified
3	3 RMDL	Accuracy (%)	93	—	Unverified
4	CNN	Accuracy (%)	73	—	Unverified
5	RMDL	Accuracy (%)	0.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RMDL (30 RDLs)	Sensitivity (VEB)	90.69	—	Unverified
2		Sensitivity	89.1	—	Unverified
3	RMDL 3 RDLs	Sensitivity	0.87	—	Unverified