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 181–190 of 265 papers

TitleStatusHype
DiscrimNet: Semi-Supervised Action Recognition from Videos using Generative Adversarial Networks—0
Disentangling Node Attributes from Graph Topology for Improved Generalizability in Link Prediction—0
DPER: Diffusion Prior Driven Neural Representation for Limited Angle and Sparse View CT Reconstruction—0
Differentially Private Optimization for Non-Decomposable Objective Functions—0
ECGBERT: Understanding Hidden Language of ECGs with Self-Supervised Representation Learning—0
Effective training of deep convolutional neural networks for hyperspectral image classification through artificial labeling—0
Empirical Evaluation of Active Learning Techniques for Neural MT—0
Enhance Visual Recognition under Adverse Conditions via Deep Networks—0
Enhancing the vocal range of single-speaker singing voice synthesis with melody-unsupervised pre-training—0
ERNIE at SemEval-2020 Task 10: Learning Word Emphasis Selection by Pre-trained Language Model—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