Binary Classifier Calibration using an Ensemble of Near Isotonic Regression Models

16 November 2015

Papers citing "Binary Classifier Calibration using an Ensemble of Near Isotonic Regression Models"

16 / 16 papers shown

Title
Sequential Linearithmic Time Optimal Unimodal Fitting When Minimizing Univariate Linear Losses Kaan Gokcesu Hakan Gokcesu 99 0 0 04 Apr 2023
Uncertainty Estimation based on Geometric Separation Gabriella Chouraqui L. Cohen Gil Einziger Liel Leman 67 0 0 11 Jan 2023
AdaFocal: Calibration-aware Adaptive Focal Loss Arindam Ghosh Thomas Schaaf Matthew R. Gormley FedML UQCV 97 30 0 21 Nov 2022
Sample-dependent Adaptive Temperature Scaling for Improved Calibration Thomas Joy Francesco Pinto Ser-Nam Lim Philip Torr P. Dokania UQCV 74 35 0 13 Jul 2022
Confidence Calibration for Object Detection and Segmentation Fabian Küppers Anselm Haselhoff Jan Kronenberger Jonas Schneider UQCV 57 5 0 25 Feb 2022
Optimally Efficient Sequential Calibration of Binary Classifiers to Minimize Classification Error Kaan Gokcesu Hakan Gokcesu 115 18 0 19 Aug 2021
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot UQCV 88 47 0 03 Aug 2021
Soft Calibration Objectives for Neural Networks A. Karandikar Nicholas Cain Dustin Tran Balaji Lakshminarayanan Jonathon Shlens Michael C. Mozer Becca Roelofs UQCV 115 91 0 30 Jul 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 130 58 0 29 Apr 2021
Local Temperature Scaling for Probability Calibration Zhipeng Ding Xu Han Peirong Liu Marc Niethammer 122 81 0 12 Aug 2020
Multivariate Confidence Calibration for Object Detection Fabian Küppers Jan Kronenberger Amirhossein Shantia Anselm Haselhoff UQCV 56 112 0 28 Apr 2020
Better Classifier Calibration for Small Data Sets Alasalmi Tuomo Jaakko Suutala Heli Koskimäki J. Röning 22 9 0 24 Feb 2020
Calibrating Deep Neural Networks using Focal Loss Jishnu Mukhoti Viveka Kulharia Amartya Sanyal Stuart Golodetz Philip Torr P. Dokania UQCV 100 468 0 21 Feb 2020
Temporal Probability Calibration Tim Leathart Maksymilian C. Polaczuk 35 7 0 07 Feb 2020
Better Multi-class Probability Estimates for Small Data Sets Tuomo Alasalmi Jaakko Suutala Heli Koskimäki J. Röning UQCV 8 0 0 30 Jan 2020
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration Meelis Kull Miquel Perelló Nieto Markus Kängsepp Telmo de Menezes e Silva Filho Hao Song Peter A. Flach UQCV 103 386 0 28 Oct 2019