Calibration in Deep Learning: A Survey of the State-of-the-Art

2 August 2023

Papers citing "Calibration in Deep Learning: A Survey of the State-of-the-Art"

39 / 39 papers shown

Title
Multimodal Graph Representation Learning for Robust Surgical Workflow Recognition with Adversarial Feature Disentanglement Long Bai Boyi Ma Ruohan Wang Guankun Wang Beilei Cui ... Mobarakol Islam Zhe Min Jiewen Lai Nassir Navab Hongliang Ren 43 0 0 03 May 2025
Towards Calibration Enhanced Network by Inverse Adversarial Attack Yupeng Cheng Zi Pong Lim Sarthak Ketanbhai Modi Yon Shin Teo Yushi Cao Shang-Wei Lin AAML 26 0 0 08 Apr 2025
Pre-trained Models Succeed in Medical Imaging with Representation Similarity Degradation Wenqiang Zu Shenghao Xie Hao Chen Lei Ma MedIm 44 0 0 11 Mar 2025
Rewarding Doubt: A Reinforcement Learning Approach to Confidence Calibration of Large Language Models Paul Stangel D. Bani-Harouni Chantal Pellegrini Ege Ozsoy Kamilia Zaripova Matthias Keicher Nassir Navab 29 1 0 04 Mar 2025
An Efficient Plugin Method for Metric Optimization of Black-Box Models Siddartha Devic Nurendra Choudhary Anirudh Srinivasan Sahika Genc B. Kveton G. Hiranandani 39 0 0 03 Mar 2025
Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification Vasilii Feofanov Songkang Wen Marius Alonso Romain Ilbert Hongbo Guo Malik Tiomoko Lujia Pan Jianfeng Zhang I. Redko AI4TS VLM 47 1 0 24 Feb 2025
DEUCE: Dual-diversity Enhancement and Uncertainty-awareness for Cold-start Active Learning Jiaxin Guo Cheng Chen Shuzhen Li T. Zhang 54 0 0 01 Feb 2025
Technical report on label-informed logit redistribution for better domain generalization in low-shot classification with foundation models Behraj Khan T. Syed 125 1 0 29 Jan 2025
Multi-layer Radial Basis Function Networks for Out-of-distribution Detection Amol Khanna Chenyi Ling Derek Everett Edward Raff Nathan Inkawhich OODD 28 0 0 05 Jan 2025
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference Jiayi Huang Sangwoo Park Osvaldo Simeone 94 2 0 03 Jan 2025
A novel framework for MCDM based on Z numbers and soft likelihood function Yuanpeng He 36 0 0 26 Dec 2024
Confidence Calibration of Classifiers with Many Classes Adrien LeCoz Stéphane Herbin Faouzi Adjed UQCV 33 1 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
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
Regression Conformal Prediction under Bias Matt Y. Cheung Tucker J. Netherton Laurence E. Court Ashok Veeraraghavan Guha Balakrishnan 23 0 0 07 Oct 2024
Critic Loss for Image Classification B. Rappazzo Aaron Ferber Carla P. Gomes VLM 16 0 0 23 Sep 2024
Improving Calibration by Relating Focal Loss, Temperature Scaling, and Properness Viacheslav Komisarenko Meelis Kull UQCV 14 0 0 21 Aug 2024
Achieving Well-Informed Decision-Making in Drug Discovery: A Comprehensive Calibration Study using Neural Network-Based Structure-Activity Models Hannah Rosa Friesacher O. Engkvist Lewis H. Mervin Yves Moreau Adam Arany 28 0 0 19 Jul 2024
DevBench: A multimodal developmental benchmark for language learning A. W. M. Tan Sunny Yu Bria Long Wanjing Anya Ma Tonya Murray Rebecca D. Silverman Jason D. Yeatman Michael C. Frank 34 3 0 14 Jun 2024
When is Multicalibration Post-Processing Necessary? Dutch Hansen Siddartha Devic Preetum Nakkiran Vatsal Sharan 38 4 0 10 Jun 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 40 1 0 10 May 2024
Approaching Human-Level Forecasting with Language Models Danny Halawi Fred Zhang Chen Yueh-Han Jacob Steinhardt 42 29 0 28 Feb 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 56 17 0 28 Feb 2024
Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees I. Tyukin T. Tyukina Daniel van Helden Zedong Zheng Evgeny M. Mirkes Oliver J. Sutton Qinghua Zhou Alexander N. Gorban Penelope Allison 21 1 0 31 Jan 2024
Forecasting VIX using Bayesian Deep Learning Héctor J. Hortúa Andrés Mora-Valencia BDL OOD 26 4 0 30 Jan 2024
Toward Clinically Trustworthy Deep Learning: Applying Conformal Prediction to Intracranial Hemorrhage Detection Cooper Gamble S. Faghani Bradley J. Erickson 14 1 0 16 Jan 2024
A Saliency-based Clustering Framework for Identifying Aberrant Predictions A. Tersol Montserrat Alexander R. Loftus Yael Daihes 10 0 0 11 Nov 2023
Generative Calibration for In-context Learning Zhongtao Jiang Yuanzhe Zhang Cao Liu Jun Zhao Kang Liu 157 17 0 16 Oct 2023
Towards Efficient and Trustworthy AI Through Hardware-Algorithm-Communication Co-Design Yongchao Chen Osvaldo Simeone Bashir M. Al-Hashimi 34 4 0 27 Sep 2023
Towards Unbiased Calibration using Meta-Regularization Cheng Wang Jacek Golebiowski 26 1 0 27 Mar 2023
Prototypical Calibration for Few-shot Learning of Language Models Zhixiong Han Y. Hao Li Dong Yutao Sun Furu Wei 168 52 0 20 May 2022
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 247 2,603 0 04 May 2021
Improving model calibration with accuracy versus uncertainty optimization R. Krishnan Omesh Tickoo UQCV 185 157 0 14 Dec 2020
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 243 289 0 17 Mar 2020
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 210 1,207 0 12 Jun 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 291 10,214 0 16 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 249 36,356 0 25 Aug 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 261 9,134 0 06 Jun 2015