Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification

1 February 2022

Papers citing "Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification"

4 / 4 papers shown

Title
Bounding Neyman-Pearson Region with $f$ -Divergences Andrew Mullhaupt Cheng Peng 24 0 0 13 May 2025
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels Sangdoo Yun Seong Joon Oh Byeongho Heo Dongyoon Han Junsuk Choe Sanghyuk Chun 414 143 0 13 Jan 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 266 4,532 0 23 Jan 2020
Classification from Pairwise Similarity and Unlabeled Data Han Bao Gang Niu Masashi Sugiyama 173 88 0 12 Feb 2018