SOTAVerified

Unsupervised Pre-training

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

Papers

Showing 251265 of 265 papers

TitleStatusHype
Contextual embedding and model weighting by fusing domain knowledge on Biomedical Question AnsweringCode0
SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug DiscoveryCode0
Calibrating Language Models with Adaptive Temperature ScalingCode0
Functional Regularization for Representation Learning: A Unified Theoretical PerspectiveCode0
Learning of feature points without additional supervision improves reinforcement learning from imagesCode0
Unleashing the Potential of Unsupervised Pre-Training with Intra-Identity Regularization for Person Re-IdentificationCode0
SynCo: Synthetic Hard Negatives in Contrastive Learning for Better Unsupervised Visual RepresentationsCode0
A Large-Scale Study on Unsupervised Spatiotemporal Representation LearningCode0
ZS-VCOS: Zero-Shot Outperforms Supervised Video Camouflaged Object SegmentationCode0
Decoupling Exploration and Exploitation for Unsupervised Pre-training with Successor FeaturesCode0
Data-dependent Initializations of Convolutional Neural NetworksCode0
Take Package as Language: Anomaly Detection Using TransformerCode0
Advancing PICO Element Detection in Biomedical Text via Deep Neural NetworksCode0
Bridging the domain gap in cross-lingual document classificationCode0
BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task LearningCode0
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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