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AdaFocal: Calibration-aware Adaptive Focal Loss

Neural Information Processing Systems (NeurIPS), 2022

21 November 2022

Papers citing "AdaFocal: Calibration-aware Adaptive Focal Loss"

25 / 25 papers shown

Title
Calibrating the Full Predictive Class Distribution of 3D Object Detectors for Autonomous Driving Cornelius Schröder Marius-Raphael Schlüter Markus Lienkamp 112 0 0 02 Oct 2025
DATS: Distance-Aware Temperature Scaling for Calibrated Class-Incremental Learning Giuseppe Serra Florian Buettner 112 0 0 25 Sep 2025
Assessing User Privacy Leakage in Synthetic Packet Traces: An Attack-Grounded Approach Minhao Jin Hongyu He Maria Apostolaki 84 1 0 15 Aug 2025
Deep Neural Network Calibration by Reducing Classifier Shift with Stochastic Masking Jiani Ni He Zhao Yibo Yang Dandan Guo UQCV 88 0 0 12 Aug 2025
An Enhanced Focal Loss Function to Mitigate Class Imbalance in Auto Insurance Fraud Detection with Explainable AI Francis Boabang Samuel Asante Gyamerah 115 0 0 04 Aug 2025
Box-Constrained Softmax Function and Its Application for Post-Hoc Calibration Kyohei Atarashi S. Oyama Hiromi Arai H. Kashima 205 0 0 12 Jun 2025
Variational Supervised Contrastive Learning Ziwen Wang Jiajun Fan Thao Nguyen Heng Ji Ge Liu DRL SSL 203 2 0 09 Jun 2025
Revisiting Reweighted Risk for Calibration: AURC, Focal, and Inverse Focal Loss Han Zhou Sebastian G.Gruber Teodora Popordanoska Matthew B. Blaschko 436 0 0 29 May 2025
Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization C. Tan Yubo Zhou Haishan Ye Guang Dai Junmin Liu Zengjie Song Jiangshe Zhang Zixiang Zhao Yunda Hao Yong Xu AAML 238 0 0 29 May 2025
Balancing Two Classifiers via A Simplex ETF Structure for Model CalibrationComputer Vision and Pattern Recognition (CVPR), 2025 Jiani Ni He Zhao Jintong Gao Dandan Guo H. Zha 193 1 0 14 Apr 2025
T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2025 Seong-Hyeon Hwang Minsu Kim Steven Euijong Whang 159 2 0 28 Mar 2025
Enhance GNNs with Reliable Confidence Estimation via Adversarial Calibration Learning Yilong Wang Jing Zhang Tianxiang Zhao Suhang Wang AAML 202 1 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 319 0 0 01 Mar 2025
Feature Clipping for Uncertainty CalibrationAAAI Conference on Artificial Intelligence (AAAI), 2024 Linwei Tao Minjing Dong Chang Xu UQCV 200 5 0 16 Oct 2024
Improving Calibration by Relating Focal Loss, Temperature Scaling, and PropernessEuropean Conference on Artificial Intelligence (ECAI), 2024 Viacheslav Komisarenko Meelis Kull UQCV 151 3 0 21 Aug 2024
Enhancing Financial Market Predictions: Causality-Driven Feature SelectionInternational Conference on Advanced Data Mining and Applications (ADMA), 2024 Wenhao Liang Zhengyang Li L. Yao AIFin 156 3 0 02 Aug 2024
Geometric Insights into Focal Loss: Reducing Curvature for Enhanced Model Calibration Masanari Kimura Hiroki Naganuma 156 3 0 01 May 2024
A Short Survey on Importance Weighting for Machine Learning Masanari Kimura H. Hino 195 10 0 15 Mar 2024
Selective Learning: Towards Robust Calibration with Dynamic Regularization Zongbo Han Yifeng Yang Changqing Zhang Linjun Zhang Qiufeng Wang Qinghua Hu 197 6 0 13 Feb 2024
RankMixup: Ranking-Based Mixup Training for Network CalibrationIEEE International Conference on Computer Vision (ICCV), 2023 Jongyoun Noh Hyekang Park Junghyup Lee Bumsub Ham UQCV 194 18 0 23 Aug 2023
ACLS: Adaptive and Conditional Label Smoothing for Network CalibrationIEEE International Conference on Computer Vision (ICCV), 2023 Hyekang Park Jongyoun Noh Youngmin Oh Donghyeon Baek Bumsub Ham UQCV 170 20 0 23 Aug 2023
Model Calibration in Dense Classification with Adaptive Label PerturbationIEEE International Conference on Computer Vision (ICCV), 2023 Jiawei Liu Changkun Ye Shanpeng Wang Rui-Qing Cui Jing Zhang Kai Zhang Nick Barnes 295 6 0 25 Jul 2023
Dual Focal Loss for CalibrationInternational Conference on Machine Learning (ICML), 2023 Linwei Tao Minjing Dong Chang Xu UQCV 253 45 0 23 May 2023
Towards Unbiased Calibration using Meta-Regularization Cheng Wang Jacek Golebiowski 226 0 0 27 Mar 2023
Selective classification using a robust meta-learning approach Nishant Jain Karthikeyan Shanmugam Pradeep Shenoy OOD 241 3 0 12 Dec 2022