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Dual Focal Loss for Calibration

Dual Focal Loss for Calibration

23 May 2023
Linwei Tao
Minjing Dong
Chang Xu
    UQCV
ArXivPDFHTML

Papers citing "Dual Focal Loss for Calibration"

22 / 22 papers shown
Title
Position: Epistemic Artificial Intelligence is Essential for Machine Learning Models to Know When They Do Not Know
Position: Epistemic Artificial Intelligence is Essential for Machine Learning Models to Know When They Do Not Know
Shireen Kudukkil Manchingal
Fabio Cuzzolin
56
0
0
08 May 2025
Beyond One-Hot Labels: Semantic Mixing for Model Calibration
Beyond One-Hot Labels: Semantic Mixing for Model Calibration
Haoyang Luo
Linwei Tao
Minjing Dong
Chang Xu
25
0
0
18 Apr 2025
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
Uncertainty Weighted Gradients for Model Calibration
Uncertainty Weighted Gradients for Model Calibration
Jinxu Lin
Linwei Tao
Minjing Dong
Chang Xu
UQCV
48
0
0
26 Mar 2025
Adaptive Wavelet Filters as Practical Texture Feature Amplifiers for Parkinson's Disease Screening in OCT
Adaptive Wavelet Filters as Practical Texture Feature Amplifiers for Parkinson's Disease Screening in OCT
Xiaotian Zhang
Hanfeng Shi
Xianrui Li
Haili Ye
Tao Xu
Na Li
Yan Hu
Fan Lv
Jianfei Chen
Jiang Liu
42
0
0
25 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
Consistency Calibration: Improving Uncertainty Calibration via
  Consistency among Perturbed Neighbors
Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors
Linwei Tao
Haolan Guo
Minjing Dong
Chang Xu
UQCV
AAML
15
2
0
16 Oct 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
Robust Time Series Forecasting with Non-Heavy-Tailed Gaussian
  Loss-Weighted Sampler
Robust Time Series Forecasting with Non-Heavy-Tailed Gaussian Loss-Weighted Sampler
Jiang You
A. Çela
René Natowicz
Jacob Ouanounou
Patrick Siarry
AI4TS
48
0
0
19 Jun 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
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
44
1
0
19 Apr 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
A Benchmark Study on Calibration
A Benchmark Study on Calibration
Linwei Tao
Younan Zhu
Haolan Guo
Minjing Dong
Chang Xu
21
9
0
23 Aug 2023
Towards Effective Collaborative Learning in Long-Tailed Recognition
Towards Effective Collaborative Learning in Long-Tailed Recognition
Zhengzhuo Xu
Zenghao Chai
Chengying Xu
Chun Yuan
Haiqin Yang
18
4
0
05 May 2023
Towards Unbiased Calibration using Meta-Regularization
Towards Unbiased Calibration using Meta-Regularization
Cheng Wang
Jacek Golebiowski
26
1
0
27 Mar 2023
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation
Wenbo Hu
Xin Sun
Qiang liu
Wenbo Hu
Shu Wu
41
0
0
23 Mar 2023
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
20
5
0
23 Sep 2022
Improving model calibration with accuracy versus uncertainty
  optimization
Improving model calibration with accuracy versus uncertainty optimization
R. Krishnan
Omesh Tickoo
UQCV
188
157
0
14 Dec 2020
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
276
5,661
0
05 Dec 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
264
36,371
0
25 Aug 2016
1