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
Pre-training strategies and datasets for facial representation learningCode1
Deeply Unsupervised Patch Re-Identification for Pre-training Object Detectors—0
Behavior From the Void: Unsupervised Active Pre-TrainingCode1
ES-Net: An Efficient Stereo Matching NetworkCode1
A Brief Summary of Interactions Between Meta-Learning and Self-Supervised Learning—0
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning—0
DOBF: A Deobfuscation Pre-Training Objective for Programming LanguagesCode1
CATE: Computation-aware Neural Architecture Encoding with TransformersCode1
Bi-APC: Bidirectional Autoregressive Predictive Coding for Unsupervised Pre-training and Its Application to Children's ASR—0
Unsupervised Semantic Segmentation by Contrasting Object Mask ProposalsCode1
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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