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A Geometric Perspective towards Neural Calibration via Sensitivity
  Decomposition

A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition

27 October 2021
Junjiao Tian
Dylan Yung
Yen-Chang Hsu
Z. Kira
ArXivPDFHTML

Papers citing "A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition"

11 / 11 papers shown
Title
Optimizing Estimators of Squared Calibration Errors in Classification
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
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
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
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
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
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
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
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
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
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
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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