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 101–110 of 265 papers

TitleStatusHype
From Recognition to Prediction: Leveraging Sequence Reasoning for Action AnticipationCode0
Large Language Model Enabled Semantic Communication Systems—0
Learning Unsupervised Gaze Representation via Eye Mask Driven Information Bottleneck—0
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts—0
An Investigation of Noise Robustness for Flow-Matching-Based Zero-Shot TTS—0
Unsupervised Pre-training with Language-Vision Prompts for Low-Data Instance SegmentationCode0
Self-Supervised Modality-Agnostic Pre-Training of Swin TransformersCode0
Decoupling Exploration and Exploitation for Unsupervised Pre-training with Successor FeaturesCode0
DPER: Diffusion Prior Driven Neural Representation for Limited Angle and Sparse View CT Reconstruction—0
VietMed: A Dataset and Benchmark for Automatic Speech Recognition of Vietnamese in the Medical Domain—0
Show:102550
← PrevPage 11 of 27Next →
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