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
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation ModelsCode5
SPACE: Your Genomic Profile Predictor is a Powerful DNA Foundation ModelCode1
Foundation Model for Wireless Technology Recognition Using IQ Timeseries—0
Is MixIT Really Unsuitable for Correlated Sources? Exploring MixIT for Unsupervised Pre-training in Music Source Separation—0
The Efficiency of Pre-training with Objective Masking in Pseudo Labeling for Semi-Supervised Text Classification—0
Latte: Transfering LLMs` Latent-level Knowledge for Few-shot Tabular Learning—0
Risk Assessment Framework for Code LLMs via Leveraging Internal States—0
ZS-VCOS: Zero-Shot Outperforms Supervised Video Camouflaged Object SegmentationCode0
CrystalFormer-RL: Reinforcement Fine-Tuning for Materials DesignCode2
ZS-VCOS: Zero-Shot Outperforms Supervised Video Camouflaged Object Segmentation with Zero-Shot MethodCode0
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All datasetsMeaslesUCI measles

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RMDL (30 RDLs)Sensitivity (VEB)90.69—Unverified
2Sensitivity89.1—Unverified
3RMDL 3 RDLsSensitivity0.87—Unverified