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On Calibration of Modern Neural Networks

International Conference on Machine Learning (ICML), 2017

14 June 2017

Papers citing "On Calibration of Modern Neural Networks"

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Title
Uncertainty-aware Language Modeling for Selective Question Answering Qi Yang Shreya Ravikumar F. Schmitt-Ulms S. Lolla Ege Demir ... Sadhana Lolla Elaheh Ahmadi Daniela Rus Alexander Amini Alejandro Perez 102 11 0 26 Nov 2023
Task adaption by biologically inspired stochastic comodulation Gauthier Boeshertz Caroline Haimerl Cristina Savin 124 0 0 25 Nov 2023
Towards Interpretable Classification of Leukocytes based on Deep Learning S. Röhrl Johannes Groll M. Lengl Simon Schumann C. Klenk D. Heim Martin Knopp Oliver Hayden Klaus Diepold 199 2 0 24 Nov 2023
TEA: Test-time Energy AdaptationComputer Vision and Pattern Recognition (CVPR), 2023 Yige Yuan Bingbing Xu Liang Hou Fei Sun Huawei Shen Xueqi Cheng TTA VLM 263 25 0 24 Nov 2023
ExCeL : Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection Naveen Karunanayake Suranga Seneviratne Sanjay Chawla OODD 186 2 0 23 Nov 2023
Class Uncertainty: A Measure to Mitigate Class Imbalance Z. S. Baltaci K. Oksuz S. Kuzucu K. Tezoren B. K. Konar A. Ozkan Emre Akbas Sinan Kalkan 384 2 0 23 Nov 2023
An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams Anton Winter Nicolas Jourdan Tristan Wirth Volker Knauthe Arjan Kuijper 113 1 0 22 Nov 2023
On the Calibration of Large Language Models and AlignmentConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Chiwei Zhu Benfeng Xu Quan Wang Yongdong Zhang Zhendong Mao 314 61 0 22 Nov 2023
Favour: FAst Variance Operator for Uncertainty Rating Thomas Dybdahl Ahle Sahar Karimi Peter Tak Peter Tang BDL 129 0 0 21 Nov 2023
Quantifying Impairment and Disease Severity Using AI Models Trained on Healthy Subjects Boyang Yu Aakash Kaku Kangning Liu A. Parnandi Emily E Fokas Anita Venkatesan Natasha Pandit Rajesh Ranganath Heidi M. Schambra C. Fernandez‐Granda 202 2 0 21 Nov 2023
A Baseline Analysis of Reward Models' Ability To Accurately Analyze Foundation Models Under Distribution Shift Will LeVine Benjamin Pikus Tony Chen Sean Hendryx 552 16 0 21 Nov 2023
On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning Paul Scemama Ariel Kapusta 232 0 0 21 Nov 2023
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive LearningIEEE International Symposium on Biomedical Imaging (ISBI), 2023 Sanaz Karimijafarbigloo Reza Azad Yury Velichko Ulas Bagci Dorit Merhof 201 2 0 21 Nov 2023
Classifier Calibration with ROC-Regularized Isotonic RegressionInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Eugene Berta Francis Bach Michael I. Jordan 148 17 0 21 Nov 2023
Attribute-Aware Deep Hashing with Self-Consistency for Large-Scale Fine-Grained Image RetrievalIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Xiu-Shen Wei Yang Shen Xuhao Sun Peng Wang Yuxin Peng 328 25 0 21 Nov 2023
Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms J. Brunekreef Eric Marcus Ray Sheombarsing Jan-Jakob Sonke Jonas Teuwen 347 12 0 20 Nov 2023
Leveraging Uncertainty Estimates To Improve Classifier Performance Gundeep Arora S. Merugu Anoop Saladi R. Rastogi 204 1 0 20 Nov 2023
Explainable Product Classification for Customs Eunji Lee Sihyeon Kim Sundong Kim Soyeon Jung Heeja Kim Meeyoung Cha 235 8 0 18 Nov 2023
On the Overconfidence Problem in Semantic 3D Mapping J. M. C. Marques Albert Zhai Shenlong Wang Kris K. Hauser 3DPC 206 9 0 16 Nov 2023
Examining LLMs' Uncertainty Expression Towards Questions Outside Parametric Knowledge Genglin Liu Xingyao Wang Lifan Yuan Yangyi Chen Yuan Yao 244 24 0 16 Nov 2023
R-Tuning: Instructing Large Language Models to Say `I Don't Know' Hanning Zhang Shizhe Diao Yong Lin Yi R. Fung Qing Lian Xingyao Wang Yangyi Chen Heng Ji Tong Zhang UQLM 424 77 0 16 Nov 2023
Program-Aided Reasoners (better) Know What They Know Anubha Kabra Sanketh Rangreji Yash Mathur Aman Madaan Emmy Liu Graham Neubig LRM 130 0 0 16 Nov 2023
Neural machine translation for automated feedback on children's early-stage writing Jonas Vestergaard Jensen Mikkel Jordahn Michael Riis Andersen 233 0 0 15 Nov 2023
Investigating the Emergent Audio Classification Ability of ASR Foundation ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023 Rao Ma Adian Liusie Mark Gales Kate Knill 300 15 0 15 Nov 2023
Empirical evaluation of Uncertainty Quantification in Retrieval-Augmented Language Models for Science S. Wagle Sai Munikoti Anurag Acharya Sara Smith Sameera Horawalavithana 79 7 0 15 Nov 2023
Temperature-scaling surprisal estimates improve fit to human reading times -- but does it do so for the "right reasons"?Annual Meeting of the Association for Computational Linguistics (ACL), 2023 Tong Liu Iza vSkrjanec Vera Demberg 339 11 0 15 Nov 2023
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet AccuracyInternational Conference on Machine Learning (ICML), 2023 Kirill Vishniakov Zhiqiang Shen Zhuang Liu CLIP 330 24 0 15 Nov 2023
Towards A Unified View of Answer Calibration for Multi-Step Reasoning Shumin Deng Ningyu Zhang Nay Oo Bryan Hooi LRM 274 3 0 15 Nov 2023
Confident Naturalness Explanation (CNE): A Framework to Explain and Assess Patterns Forming NaturalnessIEEE Geoscience and Remote Sensing Letters (GRSL), 2023 Ahmed Emam Mohamed Farag R. Roscher 264 3 0 15 Nov 2023
Robust Brain MRI Image Classification with SIBOW-SVM Liyun Zeng Hao Helen Zhang 170 9 0 15 Nov 2023
Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation Vaishnavi Shrivastava Abigail Z. Jacobs Ananya Kumar 170 42 0 15 Nov 2023
Decomposing Uncertainty for Large Language Models through Input Clarification EnsemblingInternational Conference on Machine Learning (ICML), 2023 Bairu Hou Yujian Liu Kaizhi Qian Jacob Andreas Shiyu Chang Yang Zhang UD UQCV PER 317 93 0 15 Nov 2023
On the Calibration of Multilingual Question Answering LLMs Yahan Yang Soham Dan Dan Roth Insup Lee 160 3 0 15 Nov 2023
Predicting generalization performance with correctness discriminatorsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Yuekun Yao Alexander Koller 352 1 0 15 Nov 2023
Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review Ivo Pascal de Jong A. Sburlea Matias Valdenegro-Toro 362 3 0 15 Nov 2023
A Survey of Confidence Estimation and Calibration in Large Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023 Fauzan Farooqui Fengyu Cai Yuxia Wang Heinz Koeppl Preslav Nakov Iryna Gurevych UQCV 453 154 0 14 Nov 2023
Federated Skewed Label Learning with Logits Fusion Yuwei Wang Runhan Li Hao Tan Xue Jiang Sheng Sun Min Liu Bo Gao Zhiyuan Wu FedML 145 6 0 14 Nov 2023
Identifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification FrameworkAstrophysical Journal Supplement Series (ApJS), 2023 Kaiming Cui D. J. Armstrong Fabo Feng 147 7 0 14 Nov 2023
Fair Abstractive Summarization of Diverse PerspectivesNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023 Yusen Zhang Nan Zhang Yixin Liu Alexander R. Fabbri Junru Liu ... Caiming Xiong Jieyu Zhao Dragomir R. Radev Kathleen McKeown Rui Zhang 140 23 0 14 Nov 2023
Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Shuzheng Si Helan Hu Haozhe Zhao Shuang Zeng Kaikai An Zefan Cai Baobao Chang NoLa 309 4 0 14 Nov 2023
A Saliency-based Clustering Framework for Identifying Aberrant Predictions A. Tersol Montserrat Alexander R. Loftus Yael Daihes 195 0 0 11 Nov 2023
ChatGPT Prompting Cannot Estimate Predictive Uncertainty in High-Resource Languages Martino Pelucchi Matias Valdenegro-Toro UQLM AI4MH 272 4 0 10 Nov 2023
Layer-wise Auto-Weighting for Non-Stationary Test-Time AdaptationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Junyoung Park Jin-Hwa Kim Hyeongjun Kwon Ilhoon Yoon Kwanghoon Sohn 351 11 0 10 Nov 2023
Reframing Audience Expansion through the Lens of Probability Density Estimation Claudio Carvalhaes 55 0 0 10 Nov 2023
Improvements on Uncertainty Quantification for Node Classification via Distance-Based RegularizationNeural Information Processing Systems (NeurIPS), 2023 Russell Hart Linlin Yu Yifei Lou Feng Chen UQCV 219 6 0 10 Nov 2023
Uncertainty Wrapper in the medical domain: Establishing transparent uncertainty quantification for opaque machine learning models in practice Lisa Jöckel Michael Kläs Georg Popp N. Hilger Stephan Fricke OOD 119 1 0 09 Nov 2023
Domain Adaptive Object Detection via Balancing Between Self-Training and Adversarial Learning Muhammad Akhtar Munir M. H. Khan M. Sarfraz Mohsen Ali ObjD 269 14 0 08 Nov 2023
Regression with Cost-based Rejection Xin Cheng Yuzhou Cao Haobo Wang Jianguo Huang Bo An Lei Feng OOD 227 10 0 08 Nov 2023
Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural NetworksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Ahmad Rashid Serena Hacker Guojun Zhang Agustinus Kristiadi Pascal Poupart OODD 196 0 0 07 Nov 2023
Cal-DETR: Calibrated Detection TransformerNeural Information Processing Systems (NeurIPS), 2023 Muhammad Akhtar Munir Salman Khan Muhammad Haris Khan Mohsen Ali Fahad Shahbaz Khan 184 11 0 06 Nov 2023