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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
Multiclass threshold-based classification Francesco Marchetti Edoardo Legnaro Sabrina Guastavino 84 0 0 16 May 2025
Automated Real-time Assessment of Intracranial Hemorrhage Detection AI Using an Ensembled Monitoring Model (EMM)Research Square (RS), 2025 Zhongnan Fang Andrew Johnston Lina Cheuy Hye Sun Na Magdalini Paschali ... Derrick Laurel Andrew Walker Campion Michael Iv Akshay S. Chaudhari David B. Larson 218 1 0 16 May 2025
On the Interconnections of Calibration, Quantification, and Classifier Accuracy Prediction under Dataset Shift Alejandro Moreo 182 2 0 16 May 2025
Humble your Overconfident Networks: Unlearning Overfitting via Sequential Monte Carlo Tempered Deep Ensembles Andrew Millard Zheng Zhao Joshua Murphy Simon Maskell UQCV BDL 232 0 0 16 May 2025
Neural models for prediction of spatially patterned phase transitions: methods and challengesTheoretical Ecology (TE), 2025 D. Dylewsky Sonia Kéfi M. Anand C. Bauch 99 2 0 14 May 2025
Variational Visual Question Answering for Uncertainty-Aware Selective Prediction Tobias Jan Wieczorek Nathalie Daun Mohammad Emtiyaz Khan Marcus Rohrbach OOD 492 0 0 14 May 2025
Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results Meritxell Riera-Marin S. Ko Julia Rodriguez-Comas Matthias Stefan May Zhaohong Pan ... Anton Aubanell Andreu Antolin Javier Garcia-Lopez M. A. G. Ballester Adrian Galdran UQCV 325 3 0 13 May 2025
Outperformance Score: A Universal Standardization Method for Confusion-Matrix-Based Classification Performance Metrics Ningsheng Zhao Trang Bui Jia Yuan Yu Krzysztof Dzieciolowski 204 1 0 11 May 2025
Dataset Distillation with Probabilistic Latent Features Zhe Li Sarah Cechnicka Cheng Ouyang Katharina Breininger Peter Schüffler Bernhard Kainz DD 469 1 0 10 May 2025
Crowding Out The Noise: Algorithmic Collective Action Under Differential Privacy Rushabh Solanki Meghana Bhange Ulrich Aïvodji Elliot Creager 175 3 0 09 May 2025
Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know' Shireen Kudukkil Manchingal Andrew Bradley Julian F. P. Kooij Keivan K1 Shariatmadar Neil Yorke-Smith Fabio Cuzzolin 513 1 0 08 May 2025
Performance Estimation in Binary Classification Using Calibrated Confidence Juhani Kivimäki Jakub Białek W. Kuberski J. Nurminen 245 4 0 08 May 2025
Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable ModelsConference on Uncertainty in Artificial Intelligence (UAI), 2025 Aishwarya Venkataramanan P. Bodesheim Joachim Denzler BDL VLM 378 2 0 08 May 2025
Ensemble Kalman filter for uncertainty in human language comprehension Diksha Bhandari Alessandro Lopopolo Milena Rabovsky Sebastian Reich BDL UQLM 328 0 0 05 May 2025
Cooperative Bayesian and variance networks disentangle aleatoric and epistemic uncertainties Jiaxiang Yi Miguel A. Bessa UD PER UQCV 317 2 0 05 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 421 13 0 04 May 2025
What do Language Model Probabilities Represent? From Distribution Estimation to Response Prediction Eitan Wagner Omri Abend 409 2 0 04 May 2025
Multimodal Graph Representation Learning for Robust Surgical Workflow Recognition with Adversarial Feature DisentanglementInformation Fusion (Inf. Fusion), 2025 Long Bai Boyi Ma Ruohan Wang Guankun Wang Beilei Cui ... Mobarakol Islam Zhe Min Jiewen Lai Nassir Navab Hongliang Ren 262 2 0 03 May 2025
PhysNav-DG: A Novel Adaptive Framework for Robust VLM-Sensor Fusion in Navigation Applications Trisanth Srinivasan Santosh Patapati 339 2 0 03 May 2025
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation Liaoyaqi Wang Zhengping Jiang Anqi Liu Benjamin Van Durme 375 3 0 02 May 2025
Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions Federico Maria Cau Lucio Davide Spano 223 2 0 02 May 2025
Focus on Likely Classes for Test-Time Prediction Johannes Schneider 190 0 0 02 May 2025
Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding Trilok Padhi R. Kaur Adam D. Cobb Manoj Acharya Anirban Roy Colin Samplawski Brian Matejek Alexander M. Berenbeim Nathaniel D. Bastian Susmit Jha 191 3 0 30 Apr 2025
Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Hugo Georgenthum Cristian Cosentino Fabrizio Marozzo Pietro Liò MedIm 870 1 0 28 Apr 2025
Bi-directional Model Cascading with Proxy Confidence David Warren Mark Dras 248 1 0 27 Apr 2025
Newton-Puiseux Analysis for Interpretability and Calibration of Complex-Valued Neural NetworksNeural Networks (NN), 2025 Piotr Migus 227 0 0 27 Apr 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 587 2 0 25 Apr 2025
Three Types of Calibration with Properties and their Semantic and Formal Relationships Rabanus Derr Jessie Finocchiaro Robert C. Williamson 325 1 0 25 Apr 2025
Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts M. Zarlenga Gabriele Dominici Pietro Barbiero Z. Shams M. Jamnik KELM 1.0K 3 0 24 Apr 2025
Aerial Image Classification in Scarce and Unconstrained Environments via Conformal Prediction Farhad Pourkamali-Anaraki 516 0 0 24 Apr 2025
A weighted-likelihood framework for class imbalance in Bayesian prediction models Stanley E. Lazic 221 0 0 23 Apr 2025
Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation Rahul Vishwakarma Shrey Dharmendra Modi Vishwanath Seshagiri 497 0 0 23 Apr 2025
FADEL: Uncertainty-aware Fake Audio Detection with Evidential Deep LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025 Ju Yeon Kang J. Yoon Semin Kim Min Hyun Han Nam Soo Kim 186 0 0 22 Apr 2025
Analytical Softmax Temperature Setting from Feature Dimensions for Model- and Domain-Robust Classification Tatsuhito Hasegawa Shunsuke Sakai 216 1 0 22 Apr 2025
From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learningSymposium on Advances in Approximate Bayesian Inference (AABI), 2025 Zhe Huang Simone Rossi Rui Yuan T. Hannagan 215 2 0 22 Apr 2025
Bayesian Federated Learning for Continual TrainingSymposium on Software Performance (SP), 2025 Usevalad Milasheuski Luca Barbieri Sanaz Kianoush M. Nicoli S. Savazzi FedML 177 0 0 21 Apr 2025
Unconstrained Monotonic Calibration of Predictions in Deep Ranking SystemsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025 Yimeng Bai Shunyu Zhang Yanzhe Zhang Hu Liu Wentian Bao Enyun Yu Fuli Feng Wenwu Ou 234 1 0 19 Apr 2025
Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation Duy Nguyen Quan Huu Do Khoa D. Doan Minh N. Do 216 0 0 18 Apr 2025
Beyond One-Hot Labels: Semantic Mixing for Model Calibration Haoyang Luo Linwei Tao Minjing Dong Chang Xu 370 1 0 18 Apr 2025
Representation Learning for Tabular Data: A Comprehensive Survey Jun-Peng Jiang Si-Yang Liu Hao-Run Cai Qile Zhou Han-Jia Ye LMTD 337 15 0 17 Apr 2025
On the calibration of Just-in-time Defect PredictionIEEE Working Conference on Mining Software Repositories (MSR), 2025 Xhulja Shahini Jone Bartel Klaus Pohl 116 0 0 16 Apr 2025
Enhancing Out-of-Distribution Detection with Extended Logit Normalization Yifan Ding Xixi Liu Jonas Unger Gabriel Eilertsen OODD 314 0 0 15 Apr 2025
Learning from Reference Answers: Versatile Language Model Alignment without Binary Human Preference Data Shuai Zhao Linchao Zhu Yi Yang Yi Yang 393 4 0 14 Apr 2025
MiMu: Mitigating Multiple Shortcut Learning Behavior of Transformers Lili Zhao Qi Liu Wei-neng Chen Xiaoou Liu R.-H. Sun Min Hou Yang Wang Shijin Wang 411 2 0 14 Apr 2025
Balancing Two Classifiers via A Simplex ETF Structure for Model CalibrationComputer Vision and Pattern Recognition (CVPR), 2025 Jiani Ni He Zhao Jintong Gao Dandan Guo H. Zha 185 1 0 14 Apr 2025
Weight Ensembling Improves Reasoning in Language Models Xingyu Dang Christina Baek Kaiyue Wen Zico Kolter Aditi Raghunathan MoMe LRM 512 19 0 14 Apr 2025
Query-based Knowledge Transfer for Heterogeneous Learning EnvironmentsInternational Conference on Learning Representations (ICLR), 2025 Norah Alballa Wenxuan Zhang Ziquan Liu A. Abdelmoniem Mohamed Elhoseiny Marco Canini 310 1 0 12 Apr 2025
High dimensional online calibration in polynomial time Binghui Peng 178 3 0 12 Apr 2025
An Analysis of Temporal Dropout in Earth Observation Time Series for Regression TasksInternational Symposium on Intelligent Data Analysis (IDA), 2025 Miro Miranda Francisco Mena A. Dengel OOD 198 0 0 09 Apr 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 127 0 0 08 Apr 2025