TUTORIALS
Learning LibAUC with examples
Official Tutorials
- Building imbalanced benchmark datasets
- Optimizing AUROC loss with ResNet20 on imbalanced CIFAR10
- Optimizing AUPRC loss with ResNet18 on Imbalanced CIFAR10
- Training with Pytorch learning rate schedulers
- Optimizing AUROC loss with DenseNet121 on CheXpert
- Optimizing AUROC loss with DenseNet121 for Federated Learning (CODASCA)
- Optimizing AUROC loss with DenseNet121 on Melanoma
- Optimizing AUROC (Multi-Label) loss with DenseNet121 on CheXpert
- Optimizing AUROC loss with ResNet20 for Compositional Training
Example Projects Using LibAUC
- AUC-oriented Graph Neural Network for Fraud Detection by Key Laboratory of Intelligent Information Processing of CAS
- Multimodal-Medical-Diagnosis-System by ChihchengHsieh
- DeepAUC OGB Challenge by ML@UIowa
- PAS-OGB by AutoML Research
- Heterogeneous interpolation on graph by Tencent Youtu Research
- Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications by National Research Council Canada
- SIIM-FISABIO-RSNA COVID-19 Detection|Kaggle by seriousran
- MIT AI Cures Challenge by TAMU & UIowa
- RSNA Brain tumor classification|Kaggle by Tharun_kumar
- RANZCR CLiP - Catheter and Line Position Challenge|Kaggle by jun2tong
- SIIM-ISIC Melanoma Classification|Kaggle by ML@UIowa
- Stanford CheXpert Classification by ML@UIowa
- Evaluation of ensemble learning for disease classification on chest radiographs by Sebastian Steindl