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ResearchFormerly WizWand

Image Classification on CIFAR10 4,000 labels (train)

12.41Error RateTriple-GAN-V2
12.090414.247716.40518.5623Dec 20, 2019
Updated 8mo ago

Evaluation results

MethodLinks
Triple-GAN-V2Number of labels=4000, Data Augmentation=false, Classifier=13-layer CNN (classifier in [32])2019.1212.41
SNTGNumber of labels=4000, Data Augmentation=false, Classifier=13-layer CNN2019.1212.49
VAT+EntNumber of labels=4000, Data Augmentation=false, Classifier=13-layer CNN2019.1213.15
VATNumber of labels=4000, Data Augmentation=false, Classifier=13-layer CNN2019.1214.18
BadGANNumber of labels=4000, Data Augmentation=false, Classifier=13-layer CNN2019.1214.41
MT (our code base)Number of labels=4000, Data Augmentation=false, Classifier=13-layer CNN (classifier in [32])2019.1216.37
Triangle-GANNumber of labels=4000, Data Augmentation=false, Classifier=13-layer CNN2019.1216.8
Triple-GAN-V1Number of labels=4000, Data Augmentation=false, Classifier=13-layer CNN (classifier in [26])2019.1216.99
Π modelNumber of labels=4000, Data Augmentation=false, Classifier=13-layer CNN2019.1217.08
MTNumber of labels=4000, Data Augmentation=false, Classifier=13-layer CNN2019.1217.74
Pseudo LabelNumber of labels=4000, Data Augmentation=false, Classifier=13-layer CNN2019.1217.78
ALINumber of labels=4000, Data Augmentation=false, Classifier=13-layer CNN2019.1218.3
Improved-GANNumber of labels=4000, Data Augmentation=false, Classifier=13-layer CNN (classifier in [26])2019.1218.63
CatGANNumber of labels=4000, Data Augmentation=false2019.1219.58
LadderNumber of labels=4000, Data Augmentation=false2019.1220.4