| sentiment-analysis-on-amazon-review-full | BERT large | #1 | Accuracy: 65.83 |
| sentiment-analysis-on-amazon-review-full | BERT large finetune UDA | #3 | Accuracy: 62.88 |
| sentiment-analysis-on-amazon-review-polarity | BERT large | #1 | Accuracy: 97.37 |
| sentiment-analysis-on-amazon-review-polarity | BERT large finetune UDA | #3 | Accuracy: 96.5 |
| sentiment-analysis-on-yelp-binary-classification | BERT large | #3 | Error: 1.89 |
| sentiment-analysis-on-yelp-binary-classification | BERT large finetune UDA | #5 | Error: 2.05 |
| sentiment-analysis-on-yelp-fine-grained-classification | BERT large | #3 | Error: 29.32 |
| sentiment-analysis-on-yelp-fine-grained-classification | BERT large finetune UDA | #7 | Error: 32.08 |
| text-classification-on-dbpedia | BERT large | #3 | Error: 0.68 |
| text-classification-on-dbpedia | BERT large UDA | #11 | Error: 1.09 |
| text-classification-on-yelp-2 | BERT Finetune + UDA | #3 | Accuracy: 97.95% |
| semi-supervised-image-classification-on-svhn-1000-labels | UDA | #5 | Accuracy: 97.54 |
| text-classification-on-yelp-5 | BERT Finetune + UDA | #6 | Accuracy: 67.92% |
| sentiment-analysis-on-imdb | BERT large finetune UDA | #9 | Accuracy: 95.8 |
| sentiment-analysis-on-imdb | BERT large | #14 | Accuracy: 95.49 |
| semi-supervised-image-classification-on-cifar-10-4000-labels | UDA | #16 | Percentage error: 5.27 |
| semi-supervised-image-classification-on-imagenet-10-labeled-data | UDA | #50 | Top 5 Accuracy: 88.52 |
| image-classification-on-imagenet | ResNet-50 (UDA) | #824 | Top 1 Accuracy: 79.04% |