SOTAVerified

Unsupervised Pre-training

Pre-training a neural network using unsupervised (self-supervised) auxiliary tasks on unlabeled data.

Papers

Showing 8190 of 265 papers

TitleStatusHype
Decoupling Exploration and Exploitation for Unsupervised Pre-training with Successor FeaturesCode0
Data-dependent Initializations of Convolutional Neural NetworksCode0
BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task LearningCode0
Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text GenerationCode0
An Analysis of Unsupervised Pre-training in Light of Recent AdvancesCode0
A Large-Scale Study on Unsupervised Spatiotemporal Representation LearningCode0
PUNR: Pre-training with User Behavior Modeling for News RecommendationCode0
Post Training in Deep Learning with Last KernelCode0
Pre-train and Learn: Preserve Global Information for Graph Neural NetworksCode0
Contextual embedding and model weighting by fusing domain knowledge on Biomedical Question AnsweringCode0
Show:102550
← PrevPage 9 of 27Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
115RDLsAccuracy (%)95Unverified
29RDLsAccuracy (%)94Unverified
33 RMDLAccuracy (%)93Unverified
4CNNAccuracy (%)73Unverified
5RMDLAccuracy (%)0.1Unverified
#ModelMetricClaimedVerifiedStatus
1RMDL (30 RDLs)Sensitivity (VEB)90.69Unverified
2Sensitivity89.1Unverified
3RMDL 3 RDLsSensitivity0.87Unverified