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 126–150 of 265 papers

TitleStatusHype
Differentially Private Optimization for Non-Decomposable Objective Functions—0
A Brief History of Prompt: Leveraging Language Models. (Through Advanced Prompting)—0
Unsupervised Pre-Training for Vietnamese Automatic Speech Recognition in the HYKIST Project—0
Examining the Effect of Pre-training on Time Series Classification—0
Self-Supervised Pre-Training Boosts Semantic Scene Segmentation on LiDAR DataCode0
Enhancing the vocal range of single-speaker singing voice synthesis with melody-unsupervised pre-training—0
Masked Feature Modelling: Feature Masking for the Unsupervised Pre-training of a Graph Attention Network Block for Bottom-up Video Event Recognition—0
Semi-Supervised Semantic Segmentation of Cell Nuclei via Diffusion-based Large-Scale Pre-Training and Collaborative Learning—0
Towards General Text Embeddings with Multi-stage Contrastive Learning—0
Disentangling Node Attributes from Graph Topology for Improved Generalizability in Link Prediction—0
ECGBERT: Understanding Hidden Language of ECGs with Self-Supervised Representation Learning—0
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback—0
LATTE: Label-efficient Incident Phenotyping from Longitudinal Electronic Health RecordsCode0
PUNR: Pre-training with User Behavior Modeling for News RecommendationCode0
Incorporating Unlabelled Data into Bayesian Neural Networks—0
Generalized 3D Self-supervised Learning Framework via Prompted Foreground-Aware Feature Contrast—0
Research on CPI Prediction Based on Natural Language Processing—0
Device Tuning for Multi-Task Large Model—0
A Benchmark of Nested Named Entity Recognition Approaches in Historical Structured Documents—0
Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt—0
Self-FuseNet: Data Free Unsupervised Remote Sensing Image Super-Resolution—0
Unsupervised Pre-Training for Vietnamese Automatic Speech Recognition in the HYKIST Project—0
Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document UnderstandingCode0
ACROBAT -- a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology—0
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model—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