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 1–10 of 265 papers

TitleStatusHype
Dynamic data sampler for cross-language transfer learning in large language modelsCode7
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation ModelsCode5
DepthSplat: Connecting Gaussian Splatting and DepthCode5
Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCICode4
A Survey on Data Selection for Language ModelsCode3
Large-Scale Pre-training for Person Re-identification with Noisy LabelsCode2
Foundation Policies with Hilbert RepresentationsCode2
CrystalFormer-RL: Reinforcement Fine-Tuning for Materials DesignCode2
FSFM: A Generalizable Face Security Foundation Model via Self-Supervised Facial Representation LearningCode2
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite ImageryCode2
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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