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

15 March 2020

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

31 / 31 papers shown

Title
Optimizing Estimators of Squared Calibration Errors in Classification Sebastian G. Gruber Francis Bach 130 2 0 24 Feb 2025
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling Jinzong Dong Zhaohui Jiang Dong Pan Haoyang Yu 70 0 0 14 Dec 2024
Weighted Aggregation of Conformity Scores for Classification Rui Luo Zhixin Zhou 144 10 0 14 Jul 2024
On the Usefulness of the Fit-on-the-Test View on Evaluating Calibration of Classifiers Markus Kängsepp Kaspar Valk Meelis Kull 47 3 0 16 Mar 2022
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning Jize Zhang B. Kailkhura T. Y. Han UQCV 58 222 0 16 Mar 2020
Distance-Based Learning from Errors for Confidence Calibration Chen Xing Sercan O. Arik Zizhao Zhang Tomas Pfister FedML 30 39 0 03 Dec 2019
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 48 378 0 28 Oct 2019
Verified Uncertainty Calibration Ananya Kumar Percy Liang Tengyu Ma 89 352 0 23 Sep 2019
Unconstrained Monotonic Neural Networks Antoine Wehenkel Gilles Louppe TPM 46 146 0 14 Aug 2019
When Does Label Smoothing Help? Rafael Müller Simon Kornblith Geoffrey E. Hinton UQCV 110 1,931 0 06 Jun 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 120 1,677 0 06 Jun 2019
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks S. Thulasidasan Gopinath Chennupati J. Bilmes Tanmoy Bhattacharya S. Michalak UQCV 55 535 0 27 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 555 4,735 0 13 May 2019
Unsupervised Temperature Scaling: An Unsupervised Post-Processing Calibration Method of Deep Networks A. Mozafari H. Gomes Wilson Leão Christian Gagné UQCV 28 3 0 01 May 2019
Measuring Calibration in Deep Learning Jeremy Nixon Michael W. Dusenberry Ghassen Jerfel Timothy Nguyen Jeremiah Zhe Liu Linchuan Zhang Dustin Tran UQCV 49 484 0 02 Apr 2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning Wesley J. Maddox T. Garipov Pavel Izmailov Dmitry Vetrov A. Wilson BDL UQCV 64 801 0 07 Feb 2019
Learning for Single-Shot Confidence Calibration in Deep Neural Networks through Stochastic Inferences Seonguk Seo Paul Hongsuck Seo Bohyung Han FedML UQCV BDL 79 75 0 28 Sep 2018
Learning to Navigate for Fine-grained Classification Ze Yang Tiange Luo Dong Wang Zhiqiang Hu Jun Gao Liwei Wang 28 446 0 02 Sep 2018
Progressive Neural Architecture Search Chenxi Liu Barret Zoph Maxim Neumann Jonathon Shlens Wei Hua Li Li Li Fei-Fei Alan Yuille Jonathan Huang Kevin Patrick Murphy 54 1,986 0 02 Dec 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 215 9,687 0 25 Oct 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 154 5,774 0 14 Jun 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 238 4,667 0 15 Mar 2017
Regularizing Neural Networks by Penalizing Confident Output Distributions Gabriel Pereyra George Tucker J. Chorowski Lukasz Kaiser Geoffrey E. Hinton NoLa 93 1,133 0 23 Jan 2017
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields Zhe Cao Tomas Simon S. Wei Yaser Sheikh 3DH 126 6,511 0 24 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 563 36,599 0 25 Aug 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 217 7,951 0 23 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.1K 192,638 0 10 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 415 9,233 0 06 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 350 61,900 0 04 Jun 2015
Fast R-CNN Ross B. Girshick ObjD 234 24,933 0 30 Apr 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 493 149,474 0 22 Dec 2014