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 51–75 of 265 papers

TitleStatusHype
MAGNeto: An Efficient Deep Learning Method for the Extractive Tags Summarization ProblemCode1
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual RepresentationsCode1
PersonViT: Large-scale Self-supervised Vision Transformer for Person Re-IdentificationCode1
Bag of Tricks and A Strong baseline for Image Copy DetectionCode1
Behavior From the Void: Unsupervised Active Pre-TrainingCode1
D^2LV: A Data-Driven and Local-Verification Approach for Image Copy DetectionCode1
TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction TaskCode1
The CLEAR Benchmark: Continual LEArning on Real-World ImageryCode1
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement LearningCode1
MultiTalent: A Multi-Dataset Approach to Medical Image SegmentationCode1
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised LearningCode1
End-to-End Training of Neural Retrievers for Open-Domain Question AnsweringCode1
BMRetriever: Tuning Large Language Models as Better Biomedical Text RetrieversCode1
ES-Net: An Efficient Stereo Matching NetworkCode1
ELECTRIcity: An Efficient Transformer for Non-Intrusive Load MonitoringCode1
Exact solutions to the nonlinear dynamics of learning in deep linear neural networksCode1
DOBF: A Deobfuscation Pre-Training Objective for Programming LanguagesCode1
DocILE Benchmark for Document Information Localization and ExtractionCode1
FreePoint: Unsupervised Point Cloud Instance SegmentationCode1
FedAUX: Leveraging Unlabeled Auxiliary Data in Federated LearningCode1
PointContrast: Unsupervised Pre-training for 3D Point Cloud UnderstandingCode1
Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage RetrievalCode1
RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object DetectionCode1
Self-Supervised Visual Representation Learning with Semantic GroupingCode1
Unsupervised Semantic Segmentation by Contrasting Object Mask ProposalsCode1
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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