Tilt and Average : Geometric Adjustment of the Last Layer for Recalibration

14 June 2024

Papers citing "Tilt and Average : Geometric Adjustment of the Last Layer for Recalibration"

18 / 18 papers shown

Title
Sample-dependent Adaptive Temperature Scaling for Improved Calibration Thomas Joy Francesco Pinto Ser-Nam Lim Philip Torr P. Dokania UQCV 50 34 0 13 Jul 2022
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking Xingchen Ma Matthew B. Blaschko 55 35 0 10 May 2021
Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration Christian Tomani Daniel Cremers Florian Buettner UQCV 44 35 0 24 Feb 2021
Local Temperature Scaling for Probability Calibration Zhipeng Ding Xu Han Peirong Liu Marc Niethammer 68 79 0 12 Aug 2020
Deep Feature Space: A Geometrical Perspective Ioannis Kansizoglou Loukas Bampis Antonios Gasteratos 58 40 0 30 Jun 2020
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning Kanil Patel William H. Beluch Binh Yang Michael Pfeiffer Dan Zhang UQCV 56 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 66 224 0 16 Mar 2020
Calibrating Deep Neural Networks using Focal Loss Jishnu Mukhoti Viveka Kulharia Amartya Sanyal Stuart Golodetz Philip Torr P. Dokania UQCV 81 459 0 21 Feb 2020
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning Arsenii Ashukha Alexander Lyzhov Dmitry Molchanov Dmitry Vetrov UQCV FedML 75 318 0 15 Feb 2020
Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 172 1,213 0 21 Oct 2019
A Survey of Autonomous Driving: Common Practices and Emerging Technologies Ekim Yurtsever Jacob Lambert Alexander Carballo K. Takeda 83 1,370 0 12 Jun 2019
Non-Parametric Calibration for Classification Jonathan Wenger Hedvig Kjellström Rudolph Triebel UQCV 81 81 0 12 Jun 2019
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 169 19,204 0 13 Jan 2018
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 602 10,759 0 19 Feb 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 713 36,708 0 25 Aug 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 310 7,971 0 23 May 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 328 10,172 0 16 Mar 2016
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 399 43,589 0 17 Sep 2014