2024
Energy-based Hopfield Boosting for Out-of-Distribution Detection
NeurIPS 2024poster
Out-of-distribution (OOD) detection is critical when deploying machine learning models in the real world. Outlier exposure methods, which incorporate auxiliary outlier data in the training process, can drastically improve OOD detection performance compared to approaches without advanced training str…