Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks скачать в хорошем качестве

Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks

"Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks" is research conducted by Amir Rahimi (ANU, ACRV); Amirreza Shaban (Georgia Tech); Ching-An Cheng (Microsoft Research); Byron Boots (University of Washington); Richard Hartley (Google Research and ANU, ACRV) and was accepted to NeurIPS 2020. Full paper: https://arxiv.org/abs/2003.06820 For more information on NeurIPS, visit https://b.gatech.edu/2UYu16c About ML@GT The Machine Learning Center at Georgia Tech (ML@GT) was founded in 2016 as an interdisciplinary research center (IRC) at the Georgia Institute of Technology. Since then, we have grown to include over 190 affiliated faculty members and 60 Ph.D. students, all publishing at world-renowned conferences. The center aims to research and develop innovative and sustainable technologies using machine learning and artificial intelligence (AI) that serve our community in socially and ethically responsible ways.