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
A Brief Summary of Interactions Between Meta-Learning and Self-Supervised Learning—0
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning—0
Bi-APC: Bidirectional Autoregressive Predictive Coding for Unsupervised Pre-training and Its Application to Children's ASR—0
AT-BERT: Adversarial Training BERT for Acronym Identification Winning Solution for SDU@AAAI-21—0
R-LAtte: Attention Module for Visual Control via Reinforcement Learning—0
Unsupervised Active Pre-Training for Reinforcement Learning—0
Machine Translation Pre-training for Data-to-Text Generation - A Case Study in Czech—0
Bi-tuning of Pre-trained Representations—0
Semi-supervised Facial Action Unit Intensity Estimation with Contrastive Learning—0
Accelerating Training of Transformer-Based Language Models with Progressive Layer DroppingCode0
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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