ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration
Measure

ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure

4 March 2023

Joshua Tian Jin Tee

Papers citing "ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure"

10 / 10 papers shown

Title
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference Jiayi Huang Sangwoo Park Osvaldo Simeone 105 2 0 03 Jan 2025
TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation Sunjae Yoon Gwanhyeong Koo Younghwan Lee Chang D. Yoo VGen 74 3 0 31 Oct 2024
FRAG: Frequency Adapting Group for Diffusion Video Editing Sunjae Yoon Gwanhyeong Koo Geonwoo Kim Chang D. Yoo DiffM 39 5 0 10 Jun 2024
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion Hee Suk Yoon Eunseop Yoon Joshua Tian Jin Tee M. Hasegawa-Johnson Yingzhen Li C. Yoo VLM 62 23 0 21 Mar 2024
Probabilistic Calibration by Design for Neural Network Regression V. Dheur Souhaib Ben Taieb 35 3 0 18 Mar 2024
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting Mingkui Tan Guohao Chen Jiaxiang Wu Yifan Zhang Yaofo Chen Peilin Zhao Shuaicheng Niu TTA OOD 36 4 0 18 Mar 2024
A Large-Scale Study of Probabilistic Calibration in Neural Network Regression V. Dheur Souhaib Ben Taieb BDL 33 13 0 05 Jun 2023
Improving model calibration with accuracy versus uncertainty optimization R. Krishnan Omesh Tickoo UQCV 188 157 0 14 Dec 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015