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)
- Optimizing AUROC loss for Federated Learning
Example Projects Using LibAUC
- AUC Maximization for Low-Resource Named Entity Recognition by Ngoc Dang Nguyen, et al.
- 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