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"

10 / 10 papers shown

Title
Sequential Linearithmic Time Optimal Unimodal Fitting When Minimizing Univariate Linear Losses Kaan Gokcesu Hakan Gokcesu 21 0 0 04 Apr 2023
Uncertainty Estimation based on Geometric Separation Gabriella Chouraqui L. Cohen Gil Einziger Liel Leman 19 0 0 11 Jan 2023
AdaFocal: Calibration-aware Adaptive Focal Loss Arindam Ghosh Thomas Schaaf Matthew R. Gormley FedML UQCV 21 25 0 21 Nov 2022
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot 39 1 0 18 Jul 2022
Sample-dependent Adaptive Temperature Scaling for Improved Calibration Thomas Joy Francesco Pinto Ser-Nam Lim Philip H. S. Torr P. Dokania UQCV 19 30 0 13 Jul 2022
Confidence Calibration for Object Detection and Segmentation Fabian Küppers Anselm Haselhoff Jan Kronenberger Jonas Schneider UQCV 17 4 0 25 Feb 2022
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot UQCV 19 48 0 03 Aug 2021
Better Classifier Calibration for Small Data Sets Alasalmi Tuomo Jaakko Suutala Heli Koskimäki J. Röning 8 9 0 24 Feb 2020
Calibrating Deep Neural Networks using Focal Loss Jishnu Mukhoti Viveka Kulharia Amartya Sanyal Stuart Golodetz Philip H. S. Torr P. Dokania UQCV 23 444 0 21 Feb 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 20 367 0 28 Oct 2019