| machine-translation-on-iwslt2014-german-english | TransformerBase + AutoDropout | #17 | BLEU score: 35.8 |
| language-modelling-on-penn-treebank-word-level | Transformer-XL + AutoDropout | #22 | Test perplexity: 54.9Validation perplexity: 58.1 |
| machine-translation-on-wmt2014-english-french | TransformerBase + AutoDropout | #34 | BLEU score: 40 |
| image-classification-on-cifar-10 | WRN-28-10+AutoDropout+RandAugment | #84 | Percentage correct: 97.9 |
| image-classification-on-cifar-10 | AutoDropout | #123 | Percentage correct: 96.8 |
| image-classification-on-imagenet | ResNet-50+AutoDropout+RandAugment | #748 | Top 1 Accuracy: 80.3% |
| image-classification-on-imagenet | ResNet-50 | #847 | Top 1 Accuracy: 78.7% |
| image-classification-on-imagenet | EfficientNet-B0 | #914 | Top 1 Accuracy: 77.5% |