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Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks

15 February 2022

Zhen Lin

Shubhendu Trivedi

Jimeng Sun

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Papers citing "Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks"

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Title
Soft Calibration Objectives for Neural Networks A. Karandikar Nicholas Cain Dustin Tran Balaji Lakshminarayanan Jonathon Shlens Michael C. Mozer Becca Roelofs UQCV 95 91 0 30 Jul 2021
Distribution-free calibration guarantees for histogram binning without sample splitting Chirag Gupta Aaditya Ramdas 82 40 0 10 May 2021
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking Xingchen Ma Matthew B. Blaschko 82 36 0 10 May 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 446 2,694 0 04 May 2021
FLANNEL: Focal Loss Based Neural Network Ensemble for COVID-19 Detection Zhi Qiao Austin Bae Lucas Glass Cao Xiao Jimeng Sun 72 30 0 30 Oct 2020
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning Kanil Patel William H. Beluch Binh Yang Michael Pfeiffer Dan Zhang UQCV 94 34 0 23 Jun 2020
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning Jize Zhang B. Kailkhura T. Y. Han UQCV 103 227 0 16 Mar 2020
Calibrating Deep Neural Networks using Focal Loss Jishnu Mukhoti Viveka Kulharia Amartya Sanyal Stuart Golodetz Philip Torr P. Dokania UQCV 92 467 0 21 Feb 2020
Calibration tests in multi-class classification: A unifying framework David Widmann Fredrik Lindsten Dave Zachariah 94 94 0 24 Oct 2019
Verified Uncertainty Calibration Ananya Kumar Percy Liang Tengyu Ma 185 359 0 23 Sep 2019
Non-Parametric Calibration for Classification Jonathan Wenger Hedvig Kjellström Rudolph Triebel UQCV 111 82 0 12 Jun 2019
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals linda Qiao Cao Xiao Tengfei Ma Hongyan Li Jimeng Sun 71 67 0 27 May 2019
Evaluating model calibration in classification Juozas Vaicenavicius David Widmann Carl R. Andersson Fredrik Lindsten Jacob Roll Thomas B. Schon UQCV 157 200 0 19 Feb 2019
Analyzing Inverse Problems with Invertible Neural Networks Lynton Ardizzone Jakob Kruse Sebastian J. Wirkert D. Rahner E. Pellegrini R. Klessen Lena Maier-Hein Carsten Rother Ullrich Kothe 89 494 0 14 Aug 2018
To Trust Or Not To Trust A Classifier Heinrich Jiang Been Kim Melody Y. Guan Maya R. Gupta UQCV 182 473 0 30 May 2018
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning Nicolas Papernot Patrick McDaniel OOD AAML 154 508 0 13 Mar 2018
SLEEPNET: Automated Sleep Staging System via Deep Learning Siddharth Biswal Joshua A. Kulas Haoqi Sun B. Goparaju M. P. M. Brandon Westover M. Bianchi Jimeng Sun MLAU 56 136 0 26 Jul 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,877 0 14 Jun 2017
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 382 14,280 0 23 Feb 2016
Super-Samples from Kernel Herding Yutian Chen Max Welling Alex Smola 180 343 0 15 Mar 2012