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Deep neural network (DNN) classifiers are often overconfident, producing miscalibrated class probabilities.
Verification of Forecasts Expressed in Terms of Probability
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PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals
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Nonparametric density estimation: Toward computational tractability
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Alex Krizhevsky · 2009
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Super-samples from kernel herding
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Calibrating predictive model estimates to support personalized medicine
Xiaoqian Jiang, Melanie Osl, Jihoon Kim, and Lucila Ohno-Machado · 2011
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Reading digits in natural images with unsupervised feature learning
Yuval Netzer, Tao Wang, Adam Coates, Alessandro Bissacco, Bo Wu, and Andrew Y. Ng · 2011
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New types of deep neural network learning for speech recognition and related applications: an overview
Li Deng, Geoffrey Hinton, and Brian Kingsbury · 2013
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Joint deep learning for pedestrian detection
Wanli Ouyang and Xiaogang Wang · 2013
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ISRUC-Sleep: A comprehensive public dataset for sleep researchers
Sirvan Khalighi, Teresa Sousa, José Moutinho Santos, and Urbano Nunes · 2015
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Novel decompositions of proper scoring rules for classification: Score adjustment as precursor to calibration
Meelis Kull and Peter Flach · 2015
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Kernel density compression for real-time bayesian encoding/decoding of unsorted hippocampal spikes
Danaipat Sodkomkham, Davide Ciliberti, Matthew A. Wilson, Ken ichi Fukui, Koichi Moriyama, Masayuki Numao, and Fabian Kloosterman · 2015
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Classification in general finite dimensional spaces with the k-nearest neighbor rule
Sébastien Gadat, Thierry Klein, and Clément Marteau · 2016
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Sleepnet: Automated sleep staging system via deep learning
Siddharth Biswal, Joshua A. Kulas, Haoqi Sun, Balaji Goparaju, Michael Brandon Westover, Matt T. Bianchi, and Jimeng Sun · 2017
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AF classification from a short single lead ECG recording: The PhysioNet/computing in cardiology challenge 2017
Gari D. Clifford, Chengyu Liu, Benjamin Moody, Liwei H. Lehman, Ikaro Silva, Qiao Li, A. E. Johnson, and Roger G. Mark · 2017
Evaluating model calibration in classification
Juozas Vaicenavicius, David Widmann, Carl Andersson, Fredrik Lindsten, Jacob Roll, and Thomas Schön · 2019
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Calibration tests in multi-class classification: A unifying framework
David Widmann, Fredrik Lindsten, and Dave Zachariah · 2019
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Pytorch image models
Ross Wightman · 2019
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Deep active learning for interictal ictal injury continuum EEG patterns
Wendong Ge, Jin Jing, Sungtae An, Aline Herlopian, Marcus Ng, Aaron F. Struck, Brian Appavu, Emily L. Johnson, Gamaleldin Osman, Hiba A. Haider, Ioannis Karakis, Jennifer A. Kim, Jonathan J. Halford, Monica B. Dhakar, Rani A. Sarkis, Christa B. Swisher, Sarah Schmitt, Jong Woo Lee, Mohammad Tabaeizadeh, Andres Rodriguez, Nicolas Gaspard, Emily Gilmore, Susan T. Herman, Peter W. Kaplan, Jay Pathmanathan, Shenda Hong, Eric S. Rosenthal, Sahar Zafar, Jimeng Sun, and M. Brandon Westover · 2020
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Rapid annotation of seizures and interictal-ictal-injury continuum eeg patterns
Jin Jing, Emile d’Angremont, Senan Ebrahim, Mohammad Tabaeizadeh, Marcus Ng, Aline Herlopian, Justin Dauwels, and M. Brandon Westover · 2020
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On calibration of modern neural networks
Chuan Guo, Geoff Pleiss, Yu Sun, and Kilian Q. Weinberger · 2017
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Uniform convergence rates for kernel density estimation
Heinrich Jiang · 2017
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Inception-v4, inception-resnet and the impact of residual connections on learning
Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, and Alexander A. Alemi · 2017
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Multivariate Kernel Smoothing and its Applications
José E. Chacón and Tarn Duong · 2018
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To trust or not to trust a classifier
Heinrich Jiang, Been Kim, Melody Guan, and Maya Gupta · 2018
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Trainable calibration measures for neural networks from kernel mean embeddings
Aviral Kumar, Sunita Sarawagi, and Ujjwal Jain · 2018
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Deep k-nearest neighbors: Towards confident, interpretable and robust deep learning
Nicolas Papernot and Patrick D. McDaniel · 2018
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Calibrating deep neural networks using focal loss
Jishnu Mukhoti, Viveka Kulharia, Amartya Sanyal, Stuart Golodetz, Philip Torr, and Puneet Dokania · 2020
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FLANNEL (Focal Loss bAsed Neural Network EnsembLe) for COVID-19 detection
Zhi Qiao, Austin Bae, Lucas M Glass, Cao Xiao, and Jimeng Sun · 2020
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Intra order-preserving functions for calibration of multi-class neural networks
Amir Rahimi, Amirreza Shaban, Ching-An Cheng, Richard Hartley, and Byron Boots · 2020
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Non-parametric calibration for classification
Jonathan Wenger, Hedvig Kjellström, and Rudolph Triebel) · 2020
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Mix-n-match : Ensemble and compositional methods for uncertainty calibration in deep learning
Jize Zhang, Bhavya Kailkhura, and T. Yong-Jin Han · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2021
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Classifier calibration: How to assess and improve predicted class probabilities: a survey
ATelmo Silva Filho, Hao Song, Miquel Perello-Nieto, Raul Santos-Rodriguez, Meelis Kull, and Peter Flach · 2021
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Distribution-free calibration guarantees for histogram binning without sample splitting
Chirag Gupta and Aaditya Ramdas · 2021
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Calibration of neural networks using splines
Kartik Gupta, Amir Rahimi, Thalaiyasingam Ajanthan, Thomas Mensink, Cristian Sminchisescu, and Richard Hartley · 2021
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Soft calibration objectives for neural networks
Archit Karandikar, Nicholas Cain, Dustin Tran, Balaji Lakshminarayanan, Jonathon Shlens, Michael C. Mozer, and Becca Roelofs · 2021
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Meta-cal: Well-controlled post-hoc calibration by ranking
Xingchen Ma and Matthew B. Blaschko · 2021
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Multi-class uncertainty calibration via mutual information maximization-based binning
Kanil Patel, William H. Beluch, Bin Yang, Michael Pfeiffer, and Dan Zhang · 2021
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Mlp-mixer: An all-mlp architecture for vision
Ilya O. Tolstikhin, Neil Houlsby, Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Thomas Unterthiner, Jessica Yung, Andreas Steiner, Daniel Keysers, Jakob Uszkoreit, Mario Lucic, and Alexey Dosovitskiy · 2021
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