A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration

25 March 2022

Papers citing "A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration"

34 / 34 papers shown

Title
O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models Ashshak Sharifdeen Muhammad Akhtar Munir Sanoojan Baliah Salman Khan M. H. Khan VLM 49 0 0 15 Mar 2025
A novel framework for MCDM based on Z numbers and soft likelihood function Yuanpeng He 41 0 0 26 Dec 2024
Calibration of Ordinal Regression Networks Daehwan Kim Haejun Chung Ikbeom Jang UQCV 21 0 0 21 Oct 2024
The Misclassification Likelihood Matrix: Some Classes Are More Likely To Be Misclassified Than Others Daniel Sikar Artur Garcez Robin Bloomfield Tillman Weyde Kaleem Peeroo Naman Singh Maeve Hutchinson Dany Laksono Mirela Reljan-Delaney 30 2 0 10 Jul 2024
Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration Tianshui Chen Weihang Wang Tao Pu Jinghui Qin Zhijing Yang Jie Liu Liang Lin 27 6 0 09 Jul 2024
On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines Selim Kuzucu Kemal Oksuz Jonathan Sadeghi P. Dokania 33 4 0 30 May 2024
Accurate and Reliable Predictions with Mutual-Transport Ensemble Han Liu Peng Cui Bingning Wang Jun Zhu Xiaolin Hu UQCV 27 0 0 30 May 2024
Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation Theodore Barfoot Luis C. García-Peraza-Herrera Ben Glocker Tom Vercauteren UQCV 43 3 0 11 Mar 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction Fei Zhu Xu-Yao Zhang Zhen Cheng Cheng-Lin Liu UQCV 46 10 0 05 Mar 2024
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration Wonjeong Choi Jun-Gyu Park Dong-Jun Han Younghyun Park Jaekyun Moon 32 1 0 22 Feb 2024
Task-specific regularization loss towards model calibration for reliable lung cancer detection Mehar Prateek Kalra Mansi Singhal Rohan Raju Dhanakashirur UQCV 11 0 0 21 Jan 2024
Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection Teodora Popordanoska A. Tiulpin Matthew B. Blaschko 30 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 41 0 0 11 Dec 2023
Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault Diagnosis Florent Forest Olga Fink 25 0 0 05 Dec 2023
Cal-DETR: Calibrated Detection Transformer Muhammad Akhtar Munir Salman Khan Muhammad Haris Khan Mohsen Ali Fahad Shahbaz Khan 40 8 0 06 Nov 2023
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation Taejong Joo Diego Klabjan 33 1 0 16 Oct 2023
Towards Fair and Calibrated Models Anand Brahmbhatt Vipul Rathore Mausam Parag Singla FaML 13 2 0 16 Oct 2023
CAST: Cluster-Aware Self-Training for Tabular Data Minwook Kim Juseong Kim Kibeom Kim Giltae Song 30 0 0 10 Oct 2023
Multiclass Alignment of Confidence and Certainty for Network Calibration Vinith Kugathasan M. H. Khan UQCV 14 1 0 06 Sep 2023
RankMixup: Ranking-Based Mixup Training for Network Calibration Jongyoun Noh Hyekang Park Junghyup Lee Bumsub Ham UQCV 19 9 0 23 Aug 2023
ACLS: Adaptive and Conditional Label Smoothing for Network Calibration Hyekang Park Jongyoun Noh Youngmin Oh Donghyeon Baek Bumsub Ham UQCV 34 12 0 23 Aug 2023
Calibration in Deep Learning: A Survey of the State-of-the-Art Cheng Wang UQCV 26 36 0 02 Aug 2023
Threshold-Consistent Margin Loss for Open-World Deep Metric Learning Q. Zhang Linghan Xu Qingming Tang Jun Fang Yingqi Wu Joseph Tighe Yifan Xing 22 4 0 08 Jul 2023
Multiclass Confidence and Localization Calibration for Object Detection Bimsara Pathiraja Malitha Gunawardhana M. H. Khan UQCV 31 15 0 14 Jun 2023
Perception and Semantic Aware Regularization for Sequential Confidence Calibration Zhenghua Peng Yuanmao Luo Tianshui Chen Keke Xu Shuangping Huang AI4TS 30 2 0 31 May 2023
Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution Jiahao Chen Bingyue Su 30 10 0 13 Apr 2023
Towards Unbiased Calibration using Meta-Regularization Cheng Wang Jacek Golebiowski 26 1 0 27 Mar 2023
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection Muhammad Akhtar Munir Muhammad Haris Khan Salman Khan F. Khan UQCV 30 15 0 25 Mar 2023
Rethinking Confidence Calibration for Failure Prediction Fei Zhu Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu UQCV 14 39 0 06 Mar 2023
Multi-Head Multi-Loss Model Calibration Adrian Galdran Johan W. Verjans G. Carneiro M. A. G. Ballester UQCV 8 7 0 02 Mar 2023
Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning R. Hebbalaguppe Rishabh Patra T. Dash Gautam M. Shroff L. Vig 14 14 0 20 Dec 2022
Towards Improving Calibration in Object Detection Under Domain Shift Muhammad Akhtar Munir M. H. Khan M. Sarfraz Mohsen Ali 16 22 0 15 Sep 2022
A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions R. Hebbalaguppe Soumya Suvra Goshal Jatin Prakash H. Khadilkar Chetan Arora OODD 33 4 0 28 Jul 2022
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 278 2,888 0 15 Sep 2016