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AdaFocal: Calibration-aware Adaptive Focal Loss

AdaFocal: Calibration-aware Adaptive Focal Loss

21 November 2022
Arindam Ghosh
Thomas Schaaf
Matthew R. Gormley
    FedML
    UQCV
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Papers citing "AdaFocal: Calibration-aware Adaptive Focal Loss"

18 / 18 papers shown
Title
Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration
Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration
Jiani Ni
He Zhao
Jintong Gao
Dandan Guo
H. Zha
32
0
0
14 Apr 2025
T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning
T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning
Seong-Hyeon Hwang
Minsu Kim
Steven Euijong Whang
36
0
0
28 Mar 2025
Enhance GNNs with Reliable Confidence Estimation via Adversarial Calibration Learning
Enhance GNNs with Reliable Confidence Estimation via Adversarial Calibration Learning
Yilong Wang
Jingyang Zhang
Tianxiang Zhao
Suhang Wang
AAML
44
0
0
23 Mar 2025
A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice
Eric Heim
Oren Wright
David Shriver
OOD
FaML
68
0
0
01 Mar 2025
Feature Clipping for Uncertainty Calibration
Feature Clipping for Uncertainty Calibration
Linwei Tao
Minjing Dong
Chang Xu
UQCV
26
2
0
16 Oct 2024
Improving Calibration by Relating Focal Loss, Temperature Scaling, and
  Properness
Improving Calibration by Relating Focal Loss, Temperature Scaling, and Properness
Viacheslav Komisarenko
Meelis Kull
UQCV
19
0
0
21 Aug 2024
Enhancing Financial Market Predictions: Causality-Driven Feature
  Selection
Enhancing Financial Market Predictions: Causality-Driven Feature Selection
Wenhao Liang
Zhengyang Li
Weitong Chen
AIFin
43
0
0
02 Aug 2024
Geometric Insights into Focal Loss: Reducing Curvature for Enhanced
  Model Calibration
Geometric Insights into Focal Loss: Reducing Curvature for Enhanced Model Calibration
Masanari Kimura
Hiroki Naganuma
21
0
0
01 May 2024
A Short Survey on Importance Weighting for Machine Learning
A Short Survey on Importance Weighting for Machine Learning
Masanari Kimura
H. Hino
36
5
0
15 Mar 2024
Selective Learning: Towards Robust Calibration with Dynamic
  Regularization
Selective Learning: Towards Robust Calibration with Dynamic Regularization
Zongbo Han
Yifeng Yang
Changqing Zhang
Linjun Zhang
Qiufeng Wang
Qinghua Hu
29
4
0
13 Feb 2024
RankMixup: Ranking-Based Mixup Training for Network Calibration
RankMixup: Ranking-Based Mixup Training for Network Calibration
Jongyoun Noh
Hyekang Park
Junghyup Lee
Bumsub Ham
UQCV
27
9
0
23 Aug 2023
ACLS: Adaptive and Conditional Label Smoothing for Network Calibration
ACLS: Adaptive and Conditional Label Smoothing for Network Calibration
Hyekang Park
Jongyoun Noh
Youngmin Oh
Donghyeon Baek
Bumsub Ham
UQCV
36
12
0
23 Aug 2023
Model Calibration in Dense Classification with Adaptive Label
  Perturbation
Model Calibration in Dense Classification with Adaptive Label Perturbation
Jiawei Liu
Changkun Ye
Shanpeng Wang
Rui-Qing Cui
Jing Zhang
Kai Zhang
Nick Barnes
47
5
0
25 Jul 2023
Dual Focal Loss for Calibration
Dual Focal Loss for Calibration
Linwei Tao
Minjing Dong
Chang Xu
UQCV
44
26
0
23 May 2023
Towards Unbiased Calibration using Meta-Regularization
Towards Unbiased Calibration using Meta-Regularization
Cheng Wang
Jacek Golebiowski
28
1
0
27 Mar 2023
Selective classification using a robust meta-learning approach
Selective classification using a robust meta-learning approach
Nishant Jain
Karthikeyan Shanmugam
Pradeep Shenoy
OOD
26
2
0
12 Dec 2022
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
270
36,371
0
25 Aug 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,198
0
01 Sep 2014
1