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2110.14577
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A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition
27 October 2021
Junjiao Tian
Dylan Yung
Yen-Chang Hsu
Z. Kira
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Papers citing
"A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition"
11 / 11 papers shown
Title
Optimizing Estimators of Squared Calibration Errors in Classification
Sebastian G. Gruber
Francis Bach
71
1
0
24 Feb 2025
A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection
Pedro Conde
Rui L. Lopes
C. Premebida
UQCV
13
1
0
01 Sep 2023
Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks
Pedro Conde
T. Barros
Rui L. Lopes
C. Premebida
U. J. Nunes
UQCV
22
7
0
11 Apr 2023
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation
Zhendong Liu
Wenyu Jiang
Min Guo
Chongjun Wang
AAML
21
1
0
08 Dec 2022
NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration
Lei Hsiung
Yu Tang
Pin-Yu Chen
Tsung-Yi Ho
12
2
0
29 Nov 2022
Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration
Yu Tang
Pin-Yu Chen
Tsung-Yi Ho
18
5
0
23 Sep 2022
Layer-Wise Partitioning and Merging for Efficient and Scalable Deep Learning
S. Akintoye
Liangxiu Han
H. Lloyd
Xin Zhang
Darren Dancey
Haoming Chen
Daoqiang Zhang
FedML
26
5
0
22 Jul 2022
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models
Liu Zhendong
Wenyu Jiang
Yan Zhang
Chongjun Wang
CML
6
0
0
22 Jun 2022
Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data
Junjiao Tian
Yen-Change Hsu
Yilin Shen
Hongxia Jin
Z. Kira
OODD
19
6
0
28 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
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