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Calibration of Neural Networks using Splines

Calibration of Neural Networks using Splines

23 June 2020
Kartik Gupta
Amir M. Rahimi
Thalaiyasingam Ajanthan
Thomas Mensink
C. Sminchisescu
Richard I. Hartley
ArXivPDFHTML

Papers citing "Calibration of Neural Networks using Splines"

24 / 24 papers shown
Title
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review
Toghrul Abbasli
Kentaroh Toyoda
Yuan Wang
Leon Witt
Muhammad Asif Ali
Yukai Miao
Dan Li
Qingsong Wei
UQCV
92
0
0
25 Apr 2025
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling
Jinzong Dong
Zhaohui Jiang
Dong Pan
Haoyang Yu
56
0
0
14 Dec 2024
Confidence Calibration of Classifiers with Many Classes
Confidence Calibration of Classifiers with Many Classes
Adrien LeCoz
Stéphane Herbin
Faouzi Adjed
UQCV
33
1
0
05 Nov 2024
Optimizing Calibration by Gaining Aware of Prediction Correctness
Optimizing Calibration by Gaining Aware of Prediction Correctness
Yuchi Liu
Lei Wang
Yuli Zou
James Zou
Liang Zheng
UQCV
39
1
0
19 Apr 2024
Class and Region-Adaptive Constraints for Network Calibration
Class and Region-Adaptive Constraints for Network Calibration
Balamurali Murugesan
Julio Silva-Rodríguez
Ismail Ben Ayed
Jose Dolz
32
1
0
19 Mar 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction
Revisiting Confidence Estimation: Towards Reliable Failure Prediction
Fei Zhu
Xu-Yao Zhang
Zhen Cheng
Cheng-Lin Liu
UQCV
44
10
0
05 Mar 2024
CAST: Cluster-Aware Self-Training for Tabular Data
CAST: Cluster-Aware Self-Training for Tabular Data
Minwook Kim
Juseong Kim
Kibeom Kim
Giltae Song
30
0
0
10 Oct 2023
Dual Focal Loss for Calibration
Dual Focal Loss for Calibration
Linwei Tao
Minjing Dong
Chang Xu
UQCV
37
26
0
23 May 2023
Minimum-Risk Recalibration of Classifiers
Minimum-Risk Recalibration of Classifiers
Zeyu Sun
Dogyoon Song
Alfred Hero
30
5
0
18 May 2023
Rethinking Confidence Calibration for Failure Prediction
Rethinking Confidence Calibration for Failure Prediction
Fei Zhu
Zhen Cheng
Xu-Yao Zhang
Cheng-Lin Liu
UQCV
14
39
0
06 Mar 2023
Calibrating a Deep Neural Network with Its Predecessors
Calibrating a Deep Neural Network with Its Predecessors
Linwei Tao
Minjing Dong
Daochang Liu
Changming Sun
Chang Xu
BDL
UQCV
6
5
0
13 Feb 2023
Annealing Double-Head: An Architecture for Online Calibration of Deep
  Neural Networks
Annealing Double-Head: An Architecture for Online Calibration of Deep Neural Networks
Erdong Guo
D. Draper
Maria de Iorio
32
0
0
27 Dec 2022
A Unifying Theory of Distance from Calibration
A Unifying Theory of Distance from Calibration
Jarosław Błasiok
Parikshit Gopalan
Lunjia Hu
Preetum Nakkiran
31
32
0
30 Nov 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
AdaFocal: Calibration-aware Adaptive Focal Loss
AdaFocal: Calibration-aware Adaptive Focal Loss
Arindam Ghosh
Thomas Schaaf
Matthew R. Gormley
FedML
UQCV
21
25
0
21 Nov 2022
Layer-Stack Temperature Scaling
Layer-Stack Temperature Scaling
Amr Khalifa
Michael C. Mozer
Hanie Sedghi
Behnam Neyshabur
Ibrahim M. Alabdulmohsin
75
2
0
18 Nov 2022
Stop Measuring Calibration When Humans Disagree
Stop Measuring Calibration When Humans Disagree
Joris Baan
Wilker Aziz
Barbara Plank
Raquel Fernández
24
53
0
28 Oct 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
On the Usefulness of the Fit-on-the-Test View on Evaluating Calibration of Classifiers
On the Usefulness of the Fit-on-the-Test View on Evaluating Calibration of Classifiers
Markus Kängsepp
Kaspar Valk
Meelis Kull
27
3
0
16 Mar 2022
Why Calibration Error is Wrong Given Model Uncertainty: Using Posterior
  Predictive Checks with Deep Learning
Why Calibration Error is Wrong Given Model Uncertainty: Using Posterior Predictive Checks with Deep Learning
Achintya Gopal
UQCV
28
1
0
02 Dec 2021
Deep Probability Estimation
Deep Probability Estimation
Sheng Liu
Aakash Kaku
Weicheng Zhu
M. Leibovich
S. Mohan
...
Haoxiang Huang
L. Zanna
N. Razavian
Jonathan Niles-Weed
C. Fernandez‐Granda
UQCV
OOD
28
14
0
21 Nov 2021
Improving Uncertainty Calibration of Deep Neural Networks via Truth
  Discovery and Geometric Optimization
Improving Uncertainty Calibration of Deep Neural Networks via Truth Discovery and Geometric Optimization
Chunwei Ma
Ziyun Huang
Jiayi Xian
Mingchen Gao
Jinhui Xu
UQCV
17
14
0
25 Jun 2021
FairCal: Fairness Calibration for Face Verification
FairCal: Fairness Calibration for Face Verification
Tiago Salvador
Stephanie Cairns
Vikram S. Voleti
Noah Marshall
Adam M. Oberman
FaML
17
20
0
07 Jun 2021
Local Calibration: Metrics and Recalibration
Local Calibration: Metrics and Recalibration
Rachel Luo
Aadyot Bhatnagar
Yu Bai
Shengjia Zhao
Huan Wang
Caiming Xiong
Silvio Savarese
Stefano Ermon
Edward Schmerling
Marco Pavone
11
14
0
22 Feb 2021
1