Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error

17 June 2021

Papers citing "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"

9 / 9 papers shown

Title
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference Jiayi Huang Sangwoo Park Osvaldo Simeone 94 2 0 03 Jan 2025
Rethinking Meta-Learning from a Learning Lens Jingyao Wang Wenwen Qiang Chuxiong Sun Lingyu Si Jiangmeng Li 43 1 0 13 Sep 2024
Towards Certification of Uncertainty Calibration under Adversarial Attacks Cornelius Emde Francesco Pinto Thomas Lukasiewicz Philip H. S. Torr Adel Bibi AAML 42 0 0 22 May 2024
Calibration by Distribution Matching: Trainable Kernel Calibration Metrics Charles Marx Sofian Zalouk Stefano Ermon 27 6 0 31 Oct 2023
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection Muhammad Akhtar Munir Muhammad Haris Khan Salman Khan F. Khan UQCV 30 15 0 25 Mar 2023
Out-of-distribution Detection with Implicit Outlier Transformation Qizhou Wang Junjie Ye Feng Liu Quanyu Dai Marcus Kalander Tongliang Liu Jianye Hao Bo Han OODD 149 45 0 09 Mar 2023
The Calibration Generalization Gap Annabelle Carrell Neil Rohit Mallinar James Lucas Preetum Nakkiran UQCV 32 18 0 05 Oct 2022
Improving model calibration with accuracy versus uncertainty optimization R. Krishnan Omesh Tickoo UQCV 188 157 0 14 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 317 11,681 0 09 Mar 2017