Calibrating Deep Neural Networks using Focal Loss

21 February 2020

Papers citing "Calibrating Deep Neural Networks using Focal Loss"

50 / 269 papers shown

Title
A Metacognitive Approach to Out-of-Distribution Detection for Segmentation Meghna Gummadi Cassandra Kent Karl Schmeckpeper Eric Eaton UQCV 27 1 0 04 Oct 2023
The Robust Semantic Segmentation UNCV2023 Challenge Results Xuanlong Yu Yi Zuo Zitao Wang Xiaowen Zhang Jiaxuan Zhao ... Angela Yao Wenlong Chen Ivor J. A. Simpson Neill D. F. Campbell Gianni Franchi UQCV 35 4 0 27 Sep 2023
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection Kemal Oksuz Selim Kuzucu Tom Joy P. Dokania MoE 22 5 0 26 Sep 2023
Understanding Calibration of Deep Neural Networks for Medical Image Classification A. Sambyal Usma Niyaz N. C. Krishnan Deepti R. Bathula 11 7 0 22 Sep 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
A Benchmark Study on Calibration Linwei Tao Younan Zhu Haolan Guo Minjing Dong Chang Xu 19 9 0 23 Aug 2023
Dual-Branch Temperature Scaling Calibration for Long-Tailed Recognition Jialin Guo Zhenyu Wu Zhiqiang Zhan Yang Ji 20 0 0 16 Aug 2023
Expert load matters: operating networks at high accuracy and low manual effort Sara Sangalli Ertunc Erdil E. Konukoglu 6 4 0 09 Aug 2023
Empirical Optimal Risk to Quantify Model Trustworthiness for Failure Detection Shuang Ao Stefan Rueger Advaith Siddharthan 25 2 0 06 Aug 2023
Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration Shuang Ao Stefan Rueger Advaith Siddharthan UQCV 13 8 0 06 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 18 11 0 06 Aug 2023
Calibration in Deep Learning: A Survey of the State-of-the-Art Cheng Wang UQCV 31 36 0 02 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 42 5 0 25 Jul 2023
Rethinking Data Distillation: Do Not Overlook Calibration Dongyao Zhu Bowen Lei Jie M. Zhang Yanbo Fang Ruqi Zhang Yiqun Xie Dongkuan Xu DD FedML 15 15 0 24 Jul 2023
Improving Domain Generalization for Sound Classification with Sparse Frequency-Regularized Transformer Honglin Mu Wentian Xia Wanxiang Che 12 1 0 19 Jul 2023
SecureFalcon: Are We There Yet in Automated Software Vulnerability Detection with LLMs? M. Ferrag A. Battah Norbert Tihanyi Ridhi Jain Diana Maimut ... Thierry Lestable Narinderjit Singh Thandi Abdechakour Mechri Merouane Debbah Lucas C. Cordeiro 41 7 0 13 Jul 2023
Large Class Separation is not what you need for Relational Reasoning-based OOD Detection L. Lu Giulia DÁscenzi Francesco Cappio Borlino Tatiana Tommasi OODD 25 1 0 12 Jul 2023
Score-based Conditional Generation with Fewer Labeled Data by Self-calibrating Classifier Guidance Paul Kuo-Ming Huang Si-An Chen Hsuan-Tien Lin 27 0 0 09 Jul 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
Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis Changjian Shui Justin Szeto Raghav Mehta Douglas L. Arnold Tal Arbel 11 5 0 04 Jul 2023
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration Kemal Oksuz Thomas Joy P. Dokania UQCV 17 16 0 03 Jul 2023
Integrating Large Pre-trained Models into Multimodal Named Entity Recognition with Evidential Fusion Weide Liu Xiaoyang Zhong Jingwen Hou Shaohua Li Haozhe Huang Yuming Fang EDL 30 5 0 29 Jun 2023
Scaling of Class-wise Training Losses for Post-hoc Calibration Seungjin Jung Seung-Woo Seo Yonghyun Jeong Jongwon Choi 29 3 0 19 Jun 2023
MUBen: Benchmarking the Uncertainty of Molecular Representation Models Yinghao Li Lingkai Kong Yuanqi Du Yue Yu Yuchen Zhuang Wenhao Mu Chao Zhang 27 9 0 14 Jun 2023
Multiclass Confidence and Localization Calibration for Object Detection Bimsara Pathiraja Malitha Gunawardhana M. H. Khan UQCV 34 15 0 14 Jun 2023
Urania: Visualizing Data Analysis Pipelines for Natural Language-Based Data Exploration Yi Guo Nana Cao Xiaoyu Qi Haoyang Li Danqing Shi Jing Zhang Qing Chen Daniel Weiskopf 19 4 0 13 Jun 2023
Beyond Probability Partitions: Calibrating Neural Networks with Semantic Aware Grouping Jia-Qi Yang De-Chuan Zhan Le Gan UQCV 27 5 0 08 Jun 2023
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications Mengting Hu Zhen Zhang Shiwan Zhao Minlie Huang Bingzhe Wu BDL 26 34 0 05 Jun 2023
Calibrating Multimodal Learning Huanrong Zhang Changqing Zhang Bing Wu H. Fu Joey Tianyi Zhou Q. Hu 59 16 0 02 Jun 2023
On the Limitations of Temperature Scaling for Distributions with Overlaps Muthuraman Chidambaram Rong Ge UQCV 37 4 0 01 Jun 2023
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts Emanuele Marconato Stefano Teso Antonio Vergari Andrea Passerini 27 30 0 31 May 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
When Does Optimizing a Proper Loss Yield Calibration? Jarosław Błasiok Parikshit Gopalan Lunjia Hu Preetum Nakkiran 31 23 0 30 May 2023
Beyond Confidence: Reliable Models Should Also Consider Atypicality Mert Yuksekgonul Linjun Zhang James Y. Zou Carlos Guestrin 32 20 0 29 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 27 5 0 24 May 2023
Dual Focal Loss for Calibration Linwei Tao Minjing Dong Chang Xu UQCV 37 26 0 23 May 2023
Learning for Transductive Threshold Calibration in Open-World Recognition Q. Zhang Dongsheng An Tianjun Xiao Tong He Qingming Tang Ying Nian Wu Joseph Tighe Yifan Xing Stefano Soatto 34 0 0 19 May 2023
Towards unraveling calibration biases in medical image analysis María Agustina Ricci Lara Candelaria Mosquera Enzo Ferrante Rodrigo Echeveste 20 9 0 09 May 2023
Towards Effective Collaborative Learning in Long-Tailed Recognition Zhengzhuo Xu Zenghao Chai Chengying Xu Chun Yuan Haiqin Yang 15 4 0 05 May 2023
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction Peng Cui Dan Zhang Zhijie Deng Yinpeng Dong Junyi Zhu 16 12 0 20 Apr 2023
On the dice loss gradient and the ways to mimic it H. Kervadec Marleen de Bruijne 14 0 0 09 Apr 2023
Can we learn better with hard samples? Subin Sahayam John Zakkam Umarani Jayaraman 11 2 0 07 Apr 2023
OpenMix: Exploring Outlier Samples for Misclassification Detection Fei Zhu Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu UQCV 29 32 0 30 Mar 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 32 15 0 25 Mar 2023
Calibration of Neural Networks Ruslan Vasilev A. Dýakonov 13 8 0 19 Mar 2023
Efficient Uncertainty Estimation with Gaussian Process for Reliable Dialog Response Retrieval Tong Ye Zhitao Li Jianzong Wang Ning Cheng Jing Xiao BDL 24 1 0 15 Mar 2023
Context-Aware Selective Label Smoothing for Calibrating Sequence Recognition Model Shuangping Huang Y. Luo Zhenzhou Zhuang Jin-Gang Yu Mengchao He Yongpan Wang 35 8 0 13 Mar 2023