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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	Score
Understanding Semantics from Speech Through Pre-training	Sep 24, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0	0
Unleashing Potential of Unsupervised Pre-Training With Intra-Identity Regularization for Person Re-Identification	Jan 1, 2022	Contrastive LearningPerson Re-Identification	—Unverified	0	0
Unsupervised Active Pre-Training for Reinforcement Learning	Jan 1, 2021	Atari GamesContrastive Learning	—Unverified	0	0
Unsupervised Instance Discriminative Learning for Depression Detection from Speech Signals	Jun 27, 2022	Data AugmentationDepression Detection	—Unverified	0	0
Unsupervised Learning For Sequence-to-sequence Text-to-speech For Low-resource Languages	Aug 11, 2020	Quantizationtext-to-speech	—Unverified	0	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