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 81–90 of 265 papers

TitleStatusHype
Deep Discriminative Model for Video Classification—0
Deep Belief Networks Based Feature Generation and Regression for Predicting Wind Power—0
Bi-APC: Bidirectional Autoregressive Predictive Coding for Unsupervised Pre-training and Its Application to Children's ASR—0
An Investigation of Noise Robustness for Flow-Matching-Based Zero-Shot TTS—0
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding—0
Foundation Model for Wireless Technology Recognition Using IQ Timeseries—0
GFlowNet Pretraining with Inexpensive Rewards—0
CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation—0
Cross-Domain Training for Goal-Oriented Conversational Agents—0
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning—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