Examples

Learning LibAUC with examples

Official Tutorials

X-Risk

• AUROC: Optimizing AUROC loss on imbalanced dataset
• AUPRC: Optimizing AUPRC loss on imbalanced dataset
• Partial AUROC: Optimizing Partial AUC loss on imbalanced dataset
• Compositional AUROC: Optimizing Compositional AUROC loss on imbalanced dataset
• NDCG: Optimizing NDCG loss on MovieLens 20M
• SogCLR: Optimizing Contrastive Loss using small batch size on ImageNet-1K

Applications

• A Tutorial of Imbalanced Data Sampler (Updates Coming Soon)
• Constructing benchmark imbalanced datasets for CIFAR10, CIFAR100, CATvsDOG, STL10
• Using LibAUC with PyTorch learning rate scheduler
• Optimizing AUROC loss on Chest X-Ray dataset (CheXpert)
• Optimizing AUROC loss on Skin Cancer dataset (Melanoma)
• Optimizing AUROC loss on Molecular Graph dataset (OGB-Molhiv)
• Optimizing multi-label AUROC loss on Chest X-Ray dataset (CheXpert)
• Optimizing AUROC loss on Tabular dataset (Credit Fraud) (Updates Coming Soon)
• Optimizing AUROC loss for Federated Learning

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