Calibrating Deep Neural Networks using Focal Loss

Calibrating Deep Neural Networks using Focal Loss

21 February 2020

Viveka Kulharia

Stuart Golodetz

Philip H. S. Torr

Papers citing "Calibrating Deep Neural Networks using Focal Loss"

19 / 269 papers shown

Title
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error Ondrej Bohdal Yongxin Yang Timothy M. Hospedales UQCV OOD 40 21 0 17 Jun 2021
On Deep Neural Network Calibration by Regularization and its Impact on Refinement Aditya Singh Alessandro Bay B. Sengupta Andrea Mirabile AAML 27 2 0 17 Jun 2021
Diversifying Dialog Generation via Adaptive Label Smoothing Yida Wang Yinhe Zheng Yong-jia Jiang Minlie Huang 22 37 0 30 May 2021
No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks Shyamgopal Karthik Ameya Prabhu P. Dokania Vineet Gandhi 14 21 0 01 Apr 2021
Improving Calibration for Long-Tailed Recognition Zhisheng Zhong Jiequan Cui Shu-Lin Liu Jiaya Jia 10 288 0 01 Apr 2021
On Calibration and Out-of-domain Generalization Yoav Wald Amir Feder D. Greenfeld Uri Shalit OODD 21 151 0 20 Feb 2021
Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification Yu Bai Song Mei Haiquan Wang Caiming Xiong 17 42 0 15 Feb 2021
BERT & Family Eat Word Salad: Experiments with Text Understanding Ashim Gupta Giorgi Kvernadze Vivek Srikumar 197 73 0 10 Jan 2021
From Black-box to White-box: Examining Confidence Calibration under different Conditions Franziska Schwaiger Maximilian Henne Fabian Küppers Felippe Schmoeller da Roza Karsten Roscher Anselm Haselhoff 18 10 0 08 Jan 2021
Mitigating Bias in Calibration Error Estimation Rebecca Roelofs Nicholas Cain Jonathon Shlens Michael C. Mozer 17 94 0 15 Dec 2020
Improving model calibration with accuracy versus uncertainty optimization R. Krishnan Omesh Tickoo UQCV 188 157 0 14 Dec 2020
On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective Nontawat Charoenphakdee J. Vongkulbhisal Nuttapong Chairatanakul Masashi Sugiyama UQCV 11 24 0 18 Nov 2020
A New Distributional Ranking Loss With Uncertainty: Illustrated in Relative Depth Estimation Alican Mertan Y. Sahin D. Duff Gözde B. Ünal OOD UQCV 27 10 0 14 Oct 2020
Adaptive Label Smoothing Ujwal Krothapalli A. Lynn Abbott 33 9 0 14 Sep 2020
Local Temperature Scaling for Probability Calibration Zhipeng Ding Xu Han Peirong Liu Marc Niethammer 19 77 0 12 Aug 2020
Class-Similarity Based Label Smoothing for Confidence Calibration Chihuang Liu J. JáJá UQCV 14 1 0 24 Jun 2020
Calibration of Neural Networks using Splines Kartik Gupta Amir M. Rahimi Thalaiyasingam Ajanthan Thomas Mensink C. Sminchisescu Richard I. Hartley 18 106 0 23 Jun 2020
The Curious Case of Convex Neural Networks S. Sivaprasad Ankur Singh Naresh Manwani Vineet Gandhi 30 26 0 09 Jun 2020
Speedy Performance Estimation for Neural Architecture Search Binxin Ru Clare Lyle Lisa Schut M. Fil Mark van der Wilk Y. Gal 15 35 0 08 Jun 2020