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