Leveraging Uncertainty in Deep Learning for Selective Classification

23 May 2019

Papers citing "Leveraging Uncertainty in Deep Learning for Selective Classification"

8 / 8 papers shown

Title
Deep Learning: A Bayesian Perspective Nicholas G. Polson Vadim Sokolov BDL 82 117 0 01 Jun 2017
Selective Classification for Deep Neural Networks Yonatan Geifman Ran El-Yaniv CVBM 95 526 0 23 May 2017
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 220 2,384 0 21 Jun 2016
Best Subset Selection via a Modern Optimization Lens Dimitris Bertsimas Angela King Rahul Mazumder 424 662 0 11 Jul 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 821 9,306 0 06 Jun 2015
Performance measures for classification systems with rejection Filipe Condessa J. Kovacevic J. Bioucas-Dias 38 37 0 10 Apr 2015
Box Drawings for Learning with Imbalanced Data Siong Thye Goh Cynthia Rudin 60 43 0 13 Mar 2014
Obtaining Calibrated Probabilities from Boosting Alexandru Niculescu-Mizil R. Caruana 61 200 0 04 Jul 2012