Calibrating Deep Neural Networks using Focal Loss

21 February 2020

Papers citing "Calibrating Deep Neural Networks using Focal Loss"

50 / 269 papers shown

Title
Position: Epistemic Artificial Intelligence is Essential for Machine Learning Models to Know When They Do Not Know Shireen Kudukkil Manchingal Fabio Cuzzolin 49 0 0 08 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 30 0 0 04 May 2025
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review Toghrul Abbasli Kentaroh Toyoda Yuan Wang Leon Witt Muhammad Asif Ali Yukai Miao Dan Li Qingsong Wei UQCV 92 0 0 25 Apr 2025
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 Jiani Ni He Zhao Jintong Gao Dandan Guo H. Zha 32 0 0 14 Apr 2025
Deep Learning Meets Teleconnections: Improving S2S Predictions for European Winter Weather P. Bommer M. Kretschmer Fiona R. Spuler Kirill Bykov Marina M.-C. Höhne AI4Cl 23 0 0 10 Apr 2025
UAC: Uncertainty-Aware Calibration of Neural Networks for Gesture Detection Farida Al Haddad Yuxin Wang Malcolm Mielle 29 0 0 02 Apr 2025
T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning Seong-Hyeon Hwang Minsu Kim Steven Euijong Whang 34 0 0 28 Mar 2025
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 X. Zhang Hanfeng Shi X. Li Haili Ye Tao Xu Na Li Yan Hu Fan Lv J. Chen Jiang Liu 42 0 0 25 Mar 2025
We Care Each Pixel: Calibrating on Medical Segmentation Model Wenhao Liang W. Zhang Y. Lin Miao Xu Olaf Maennel Weitong Chen 48 0 0 07 Mar 2025
A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice Eric Heim Oren Wright David Shriver OOD FaML 63 0 0 01 Mar 2025
Large Language Model Confidence Estimation via Black-Box Access Tejaswini Pedapati Amit Dhurandhar Soumya Ghosh Soham Dan P. Sattigeri 89 3 0 21 Feb 2025
Interpretable Failure Detection with Human-Level Concepts Kien X. Nguyen Tang Li Xi Peng 48 0 0 07 Feb 2025
MapFusion: A Novel BEV Feature Fusion Network for Multi-modal Map Construction Xiaoshuai Hao Yunfeng Diao Mengchuan Wei Yifan Yang Peng Hao Rong Yin Hui Zhang Weiming Li Shu Zhao Y. Liu 38 6 0 05 Feb 2025
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference Jiayi Huang Sangwoo Park Osvaldo Simeone 94 2 0 03 Jan 2025
Enhancing Trust in Large Language Models with Uncertainty-Aware Fine-Tuning R. Krishnan Piyush Khanna Omesh Tickoo HILM 69 1 0 03 Dec 2024
Exploring Aleatoric Uncertainty in Object Detection via Vision Foundation Models Peng Cui Guande He Dan Zhang Zhijie Deng Yinpeng Dong Jun Zhu 82 0 0 26 Nov 2024
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 89 1 0 25 Nov 2024
Labels in Extremes: How Well Calibrated are Extreme Multi-label Classifiers? Nasib Ullah Erik Schultheis Jinbin Zhang Rohit Babbar 21 0 0 06 Nov 2024
Confidence Calibration of Classifiers with Many Classes Adrien LeCoz Stéphane Herbin Faouzi Adjed UQCV 33 1 0 05 Nov 2024
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection Geng Yu Jianing Zhu Jiangchao Yao Bo Han OODD 38 0 0 05 Nov 2024
A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Prediction Qidong Yang Weicheng Zhu Joseph Keslin L. Zanna Tim G. J. Rudner Carlos Fernandez-Granda BDL UQCV AI4TS 44 0 0 30 Oct 2024
Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text Classification Hsun-Yu Kuo Yin-Hsiang Liao Yu-Chieh Chao Wei-Yun Ma Pu-Jen Cheng SyDa 45 2 0 28 Oct 2024
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models Mohammad Beigi Sijia Wang Ying Shen Zihao Lin Adithya Kulkarni ... Ming Jin Jin-Hee Cho Dawei Zhou Chang-Tien Lu Lifu Huang 21 1 0 26 Oct 2024
Calibrating Deep Neural Network using Euclidean Distance Wenhao Liang Chang Dong L. Zheng Zhengyang Li W. Zhang Weitong Chen UQCV 16 2 0 23 Oct 2024
Calibration of Ordinal Regression Networks Daehwan Kim Haejun Chung Ikbeom Jang UQCV 21 0 0 21 Oct 2024
Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors Linwei Tao Haolan Guo Minjing Dong Chang Xu UQCV AAML 13 2 0 16 Oct 2024
Feature Clipping for Uncertainty Calibration Linwei Tao Minjing Dong Chang Xu UQCV 18 2 0 16 Oct 2024
Taming Overconfidence in LLMs: Reward Calibration in RLHF Jixuan Leng Chengsong Huang Banghua Zhu Jiaxin Huang 26 7 0 13 Oct 2024
Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both Abhijnan Nath Changsoo Jung Ethan Seefried Nikhil Krishnaswamy 119 1 0 11 Oct 2024
Calibrating Verbalized Probabilities for Large Language Models Cheng Wang Gyuri Szarvas Georges Balazs Pavel Danchenko P. Ernst 15 0 0 09 Oct 2024
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models Shuoyuan Wang Yixuan Li Hongxin Wei VLM 46 2 0 03 Oct 2024
Critic Loss for Image Classification B. Rappazzo Aaron Ferber Carla P. Gomes VLM 18 0 0 23 Sep 2024
Calibration of Network Confidence for Unsupervised Domain Adaptation Using Estimated Accuracy Coby Penso Jacob Goldberger 27 0 0 06 Sep 2024
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentation P. Mody Nicolas F. Chaves-de-Plaza Chinmay Rao Eleftheria Astrenidou M. de Ridder N. Hoekstra Klaus Hildebrandt Marius Staring UQCV 22 0 0 05 Sep 2024
ForeCal: Random Forest-based Calibration for DNNs Dhruv Nigam UQCV 23 0 0 04 Sep 2024
Improving Calibration by Relating Focal Loss, Temperature Scaling, and Properness Viacheslav Komisarenko Meelis Kull UQCV 16 0 0 21 Aug 2024
Dual-View Pyramid Pooling in Deep Neural Networks for Improved Medical Image Classification and Confidence Calibration Xiaoqing Zhang Qiushi Nie Zunjie Xiao Jilu Zhao Xiao Wu Pengxin Guo Runzhi Li Jin Liu Yanjie Wei Yi-Lun Pan 31 0 0 06 Aug 2024
Evaluating Posterior Probabilities: Decision Theory, Proper Scoring Rules, and Calibration Luciana Ferrer Daniel Ramos UQCV 25 4 0 05 Aug 2024
Gaussian Mixture based Evidential Learning for Stereo Matching Weide Liu Xingxing Wang Lu Wang Jun Cheng Fayao Liu Xulei Yang 26 0 0 05 Aug 2024
Robust Calibration of Large Vision-Language Adapters Balamurali Murugesan Julio Silva-Rodríguez Ismail Ben Ayed Jose Dolz OODD VLM 32 6 0 18 Jul 2024
Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset Mijoo Kim Junseok Kwon UQCV 30 1 0 17 Jul 2024
MapDistill: Boosting Efficient Camera-based HD Map Construction via Camera-LiDAR Fusion Model Distillation Xiaoshuai Hao Ruikai Li Hui Zhang Dingzhe Li Rong Yin Sangil Jung Seungsang Park ByungIn Yoo Haimei Zhao Jing Zhang 38 7 0 16 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
Tilt and Average : Geometric Adjustment of the Last Layer for Recalibration Gyusang Cho Chan-Hyun Youn 30 0 0 14 Jun 2024
Confidence-aware Contrastive Learning for Selective Classification Yu-Chang Wu Shen-Huan Lyu Haopu Shang Xiangyu Wang Chao Qian 27 3 0 07 Jun 2024
Decoupling of neural network calibration measures D. Wolf Prasannavenkatesh Balaji Alexander Braun Markus Ulrich UQCV 36 3 0 04 Jun 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