Notes of [1]

Paper list

[1] AUC optimization vs. error rate minimization, NIPS 2003. citation: 777

• “We show that, under certain conditions, the global function optimized by the RankBoost algorithm is exactly the AUC”

[2] On Loss Functions for Deep Neural Networks in Classification, Feb. 18 2017. citation: 754

[3] On Optimization Methods for Deep Learning, ICML 2011. citation: 1256

[4] On Discriminative vs. Generative classifiers: A comparison of logistic regression and naive Bayes, NIPS 2001. citation: 3425

[5] Neural Relational Inference for Interacting Systems, ICML 2018. citation: 755

[6] FaceNet: A Unified Embedding for Face Recognition and Clustering, CVPR 2015. citation: 14125

[7] On Calibration of Modern Neural Networks, Aug. 3 2017. citation: 4233

[8] Gaussian Error Linear Units (GELUs), 2016 (2023 v5). citation: 3387

[9] Universal Language Model Fine-tuning for Text Classification, ACL 2018. citation: 3814