v1v2 (latest)

Soft Calibration Objectives for Neural Networks

30 July 2021

A. Karandikar

Nicholas Cain

Dustin Tran

Balaji Lakshminarayanan

Papers citing "Soft Calibration Objectives for Neural Networks"

50 / 71 papers shown

Title
Uncertainty Estimation by Human Perception versus Neural Models Pedro Mendes Paolo Romano David Garlan 15 0 0 18 Jun 2025
Compositional Generalisation for Explainable Hate Speech Detection Agostina Calabrese Tom Sherborne Bjorn Ross Mirella Lapata 74 0 0 04 Jun 2025
Revisiting Reweighted Risk for Calibration: AURC, Focal Loss, and Inverse Focal Loss Han Zhou Sebastian G.Gruber Teodora Popordanoska Matthew B. Blaschko 71 0 0 29 May 2025
Uniform convergence of the smooth calibration error and its relationship with functional gradient Futoshi Futami Atsushi Nitanda 56 0 0 26 May 2025
On the Interconnections of Calibration, Quantification, and Classifier Accuracy Prediction under Dataset Shift Alejandro Moreo 50 0 0 16 May 2025
Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach Jiancong Xiao Bojian Hou Zhanliang Wang Ruochen Jin Q. Long Weijie Su Li Shen 104 2 0 04 May 2025
Beyond One-Hot Labels: Semantic Mixing for Model Calibration Haoyang Luo Linwei Tao Minjing Dong Chang Xu 141 0 0 18 Apr 2025
Uncertainty Weighted Gradients for Model Calibration Jinxu Lin Linwei Tao Minjing Dong Chang Xu UQCV 139 0 0 26 Mar 2025
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference Jiayi Huang Sangwoo Park Osvaldo Simeone 252 2 0 03 Jan 2025
Enhancing Trust in Large Language Models with Uncertainty-Aware Fine-Tuning R. Krishnan Piyush Khanna Omesh Tickoo HILM 116 1 0 03 Dec 2024
Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits Daniel Morales-Brotons Thijs Vogels Hadrien Hendrikx 190 23 0 27 Nov 2024
Confidence Calibration of Classifiers with Many Classes Adrien LeCoz Stéphane Herbin Faouzi Adjed UQCV 82 1 0 05 Nov 2024
Improving Predictor Reliability with Selective Recalibration Thomas P. Zollo Zhun Deng Jake C. Snell T. Pitassi Richard Zemel OOD 72 0 0 07 Oct 2024
The Craft of Selective Prediction: Towards Reliable Case Outcome Classification -- An Empirical Study on European Court of Human Rights Cases T. Y. S. S. Santosh Irtiza Chowdhury Shanshan Xu Matthias Grabmair AILaw 110 0 0 27 Sep 2024
Critic Loss for Image Classification B. Rappazzo Aaron Ferber Carla P. Gomes VLM 60 0 0 23 Sep 2024
ForeCal: Random Forest-based Calibration for DNNs Dhruv Nigam UQCV 35 0 0 04 Sep 2024
Confidence-aware Contrastive Learning for Selective Classification Yu-Chang Wu Shen-Huan Lyu Haopu Shang Xiangyu Wang Chao Qian 73 3 0 07 Jun 2024
Towards Certification of Uncertainty Calibration under Adversarial Attacks Cornelius Emde Francesco Pinto Thomas Lukasiewicz Philip Torr Adel Bibi AAML 122 1 0 22 May 2024
Improving Deep Learning Model Calibration for Cardiac Applications using Deterministic Uncertainty Networks and Uncertainty-aware Training Tareen Dawood B. Ruijsink Reza Razavi Andrew P. King Esther Puyol-Antón UQCV 83 1 0 10 May 2024
Elevator, Escalator, or Neither? Classifying Conveyor State Using Smartphone under Arbitrary Pedestrian Behavior Tianlang He Zhiqiu Xia S.-H. Gary Chan 78 0 0 06 May 2024
Error-Driven Uncertainty Aware Training Pedro Mendes Paolo Romano David Garlan UQCV 93 2 0 02 May 2024
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion Hee Suk Yoon Eunseop Yoon Joshua Tian Jin Tee M. Hasegawa-Johnson Yingzhen Li C. Yoo VLM 122 27 0 21 Mar 2024
Probabilistic Calibration by Design for Neural Network Regression Victor Dheur Souhaib Ben Taieb 187 4 0 18 Mar 2024
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting Mingkui Tan Guohao Chen Jiaxiang Wu Yifan Zhang Yaofo Chen Peilin Zhao Shuaicheng Niu TTA OOD 69 5 0 18 Mar 2024
Confidence-Aware Multi-Field Model Calibration Yuang Zhao Chuhan Wu Qinglin Jia Hong Zhu Jia Yan Libin Zong Linxuan Zhang Zhenhua Dong Muyu Zhang 98 1 0 27 Feb 2024
Multi-View Conformal Learning for Heterogeneous Sensor Fusion Enrique Garcia-Ceja 62 1 0 19 Feb 2024
LiRank: Industrial Large Scale Ranking Models at LinkedIn Fedor Borisyuk Mingzhou Zhou Qingquan Song Siyu Zhu B. Tiwana ... Chen-Chen Jiang Haichao Wei Maneesh Varshney Amol Ghoting Souvik Ghosh 59 2 0 10 Feb 2024
Multi-source-free Domain Adaptation via Uncertainty-aware Adaptive Distillation Yaxuan Song Jianan Fan Dongnan Liu Weidong Cai 91 1 0 09 Feb 2024
Estimating calibration error under label shift without labels Teodora Popordanoska Gorjan Radevski Tinne Tuytelaars Matthew B. Blaschko 39 1 0 14 Dec 2023
Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection Teodora Popordanoska A. Tiulpin Matthew B. Blaschko 113 8 0 11 Dec 2023
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images Prithvijit Chattopadhyay Bharat Goyal B. Ecsedi Viraj Prabhu Judy Hoffman 92 1 0 11 Dec 2023
Conformal Prediction in Multi-User Settings: An Evaluation Enrique Garcia-Ceja Luciano Garcia-Banuelos Nicolas Jourdan 53 1 0 08 Dec 2023
Cal-DETR: Calibrated Detection Transformer Muhammad Akhtar Munir Salman Khan Muhammad Haris Khan Mohsen Ali Fahad Shahbaz Khan 90 9 0 06 Nov 2023
Calibration by Distribution Matching: Trainable Kernel Calibration Metrics Charles Marx Sofian Zalouk Stefano Ermon 99 10 0 31 Oct 2023
MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift Dexter Neo Stefan Winkler Tsuhan Chen OODD 63 3 0 26 Oct 2023
Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images Tareen Dawood Chen Chen B. Sidhu B. Ruijsink J. Gould ... Vishal S. Mehta C. Rinaldi Esther Puyol-Antón Reza Razavi A. King OOD 106 12 0 29 Aug 2023
A Benchmark Study on Calibration Linwei Tao Younan Zhu Haolan Guo Minjing Dong Chang Xu 120 9 0 23 Aug 2023
Expert load matters: operating networks at high accuracy and low manual effort Sara Sangalli Ertunc Erdil E. Konukoglu 41 5 0 09 Aug 2023
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error Zixin Wang Yadan Luo Zhi Chen Sen Wang Zi Huang 115 13 0 06 Aug 2023
Model Calibration in Dense Classification with Adaptive Label Perturbation Jiawei Liu Changkun Ye Shanpeng Wang Rui-Qing Cui Jing Zhang Kai Zhang Nick Barnes 69 5 0 25 Jul 2023
Set Learning for Accurate and Calibrated Models Lukas Muttenthaler Robert A. Vandermeulen Qiuyi Zhang Thomas Unterthiner Klaus-Robert Muller 78 2 0 05 Jul 2023
A Large-Scale Study of Probabilistic Calibration in Neural Network Regression Victor Dheur Souhaib Ben Taieb BDL 185 14 0 05 Jun 2023
Calibrating Multimodal Learning Huanrong Zhang Changqing Zhang Bing Wu Huazhu Fu Qiufeng Wang Q. Hu 100 21 0 02 Jun 2023
When Does Optimizing a Proper Loss Yield Calibration? Jarosław Błasiok Parikshit Gopalan Lunjia Hu Preetum Nakkiran 94 28 0 30 May 2023
How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods for Selective Classification with Deep Neural Networks L. F. P. Cattelan Danilo Silva UQCV 119 6 0 24 May 2023
Dual Focal Loss for Calibration Linwei Tao Minjing Dong Chang Xu UQCV 91 30 0 23 May 2023
Loss Minimization Yields Multicalibration for Large Neural Networks Jarosław Błasiok Parikshit Gopalan Lunjia Hu Adam Tauman Kalai Preetum Nakkiran FaML UQCV 95 13 0 19 Apr 2023
Towards Unbiased Calibration using Meta-Regularization Cheng Wang Jacek Golebiowski 98 1 0 27 Mar 2023
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure Hee Suk Yoon Joshua Tian Jin Tee Eunseop Yoon Sunjae Yoon G. Kim Yingzhen Li Changdong Yoo UQCV MQ 60 11 0 04 Mar 2023
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning Danruo Deng Guangyong Chen Yang Yu Fu-Lun Liu Pheng-Ann Heng EDL UQCV FedML 126 47 0 03 Mar 2023