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 226–250 of 265 papers

TitleStatusHype
On the Generalization Ability of Unsupervised Pretraining—0
Unsupervised Deep Representation Learning and Few-Shot Classification of PolSAR Images—0
Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting—0
Post-training for Deep Learning—0
Pre-Training and Fine-Tuning Generative Flow Networks—0
Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation—0
Pre-training Text Representations as Meta Learning—0
Provable Benefits of Unsupervised Pre-training and Transfer Learning via Single-Index Models—0
Range-aware Positional Encoding via High-order Pretraining: Theory and Practice—0
Recognizing UMLS Semantic Types with Deep Learning—0
Representation Learning for Weakly Supervised Relation Extraction—0
Research on CPI Prediction Based on Natural Language Processing—0
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images—0
Risk Assessment Framework for Code LLMs via Leveraging Internal States—0
R-LAtte: Attention Module for Visual Control via Reinforcement Learning—0
Self-FuseNet: Data Free Unsupervised Remote Sensing Image Super-Resolution—0
Self-Supervised Relative Depth Learning for Urban Scene Understanding—0
Semi-supervised Facial Action Unit Intensity Estimation with Contrastive Learning—0
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification—0
Semi-Supervised Semantic Segmentation of Cell Nuclei via Diffusion-based Large-Scale Pre-Training and Collaborative Learning—0
SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training—0
SMiRL: Surprise Minimizing RL in Entropic Environments—0
Spiral Contrastive Learning: An Efficient 3D Representation Learning Method for Unannotated CT Lesions—0
SYNFIX: Automatically Fixing Syntax Errors using Compiler Diagnostics—0
Synthetic vascular structure generation for unsupervised pre-training in CTA segmentation tasks—0
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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