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 51–60 of 265 papers

TitleStatusHype
CochCeps-Augment: A Novel Self-Supervised Contrastive Learning Using Cochlear Cepstrum-based Masking for Speech Emotion RecognitionCode0
MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning—0
Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage RetrievalCode1
Unsupervised Pre-Training for 3D Leaf Instance Segmentation—0
FairSISA: Ensemble Post-Processing to Improve Fairness of Unlearning in LLMs—0
Unified Multi-modal Unsupervised Representation Learning for Skeleton-based Action UnderstandingCode1
Unsupervised Pre-Training Using Masked Autoencoders for ECG Analysis—0
METRA: Scalable Unsupervised RL with Metric-Aware AbstractionCode1
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification—0
Automated clinical coding using off-the-shelf large language models—0
Show:102550
← PrevPage 6 of 27Next →
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