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

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

4 March 2023

Joshua Tian Jin Tee

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

13 / 13 papers shown

Title
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference Jiayi Huang Sangwoo Park Osvaldo Simeone 216 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 123 5 0 31 Oct 2024
FRAG: Frequency Adapting Group for Diffusion Video Editing Sunjae Yoon Gwanhyeong Koo Geonwoo Kim Chang D. Yoo DiffM 94 5 0 10 Jun 2024
LAD: A Hybrid Deep Learning System for Benign Paroxysmal Positional Vertigo Disorders Diagnostic T. Pham J. Choi R. Mina T. Nguyen Sultan Rizky Hikmawan Madjid Chang D. Yoo 41 9 0 15 Oct 2022
Soft Calibration Objectives for Neural Networks A. Karandikar Nicholas Cain Dustin Tran Balaji Lakshminarayanan Jonathon Shlens Michael C. Mozer Becca Roelofs UQCV 86 90 0 30 Jul 2021
Improving model calibration with accuracy versus uncertainty optimization R. Krishnan Omesh Tickoo UQCV 245 165 0 14 Dec 2020
Calibrating Deep Neural Networks using Focal Loss Jishnu Mukhoti Viveka Kulharia Amartya Sanyal Stuart Golodetz Philip Torr P. Dokania UQCV 83 465 0 21 Feb 2020
Adversarial NLI: A New Benchmark for Natural Language Understanding Yixin Nie Adina Williams Emily Dinan Joey Tianyi Zhou Jason Weston Douwe Kiela 127 1,010 0 31 Oct 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 175 1,702 0 06 Jun 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 842 5,841 0 05 Dec 2016
End to End Learning for Self-Driving Cars Mariusz Bojarski D. Testa Daniel Dworakowski Bernhard Firner B. Flepp ... Urs Muller Jiakai Zhang Xin Zhang Jake Zhao Karol Zieba SSL 100 4,175 0 25 Apr 2016
A large annotated corpus for learning natural language inference Samuel R. Bowman Gabor Angeli Christopher Potts Christopher D. Manning 324 4,293 0 21 Aug 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 836 9,346 0 06 Jun 2015

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