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 171–180 of 265 papers

TitleStatusHype
Learning of feature points without additional supervision improves reinforcement learning from imagesCode0
Automatic Sexism Detection with Multilingual Transformer Models—0
Greedy-layer Pruning: Speeding up Transformer Models for Natural Language ProcessingCode0
Audio Transformers—0
A Large-Scale Study on Unsupervised Spatiotemporal Representation LearningCode0
SYNFIX: Automatically Fixing Syntax Errors using Compiler Diagnostics—0
Representation Learning for Weakly Supervised Relation Extraction—0
On Architectures and Training for Raw Waveform Feature Extraction in ASR—0
Maximal Multiverse Learning for Promoting Cross-Task Generalization of Fine-Tuned Language Models—0
Deeply Unsupervised Patch Re-Identification for Pre-training Object Detectors—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