On Calibration of Modern Neural Networks

14 June 2017

Papers citing "On Calibration of Modern Neural Networks"

50 / 154 papers shown

Title
Energy-based Preference Optimization for Test-time Adaptation Yewon Han Seoyun Yang Taesup Kim TTA 240 0 0 26 May 2025
Large Language Models Do Multi-Label Classification Differently Marcus Ma Georgios Chochlakis Niyantha Maruthu Pandiyan Jesse Thomason Shrikanth Narayanan 69 1 0 23 May 2025
TULiP: Test-time Uncertainty Estimation via Linearization and Weight Perturbation Yuhui Zhang Dongshen Wu Yuichiro Wada Takafumi Kanamori OODD 180 1 0 22 May 2025
When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific Research Guijin Son Jiwoo Hong Honglu Fan Heejeong Nam Hyunwoo Ko ... Jinyeop Song Jinha Choi Gonçalo Paulo Youngjae Yu Stella Biderman 74 1 0 17 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 91 0 0 16 May 2025
Performance Estimation in Binary Classification Using Calibrated Confidence Juhani Kivimäki Jakub Białek W. Kuberski J. Nurminen 68 0 0 08 May 2025
What do Language Model Probabilities Represent? From Distribution Estimation to Response Prediction Eitan Wagner Omri Abend 90 1 0 04 May 2025
Aerial Image Classification in Scarce and Unconstrained Environments via Conformal Prediction Farhad Pourkamali-Anaraki 172 0 0 24 Apr 2025
Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation Rahul Vishwakarma Shrey Dharmendra Modi Vishwanath Seshagiri 193 0 0 23 Apr 2025
FADEL: Uncertainty-aware Fake Audio Detection with Evidential Deep Learning Ju Yeon Kang J. Yoon Semin Kim Min Hyun Han Nam Soo Kim 70 0 0 22 Apr 2025
Beyond One-Hot Labels: Semantic Mixing for Model Calibration Haoyang Luo Linwei Tao Minjing Dong Chang Xu 99 0 0 18 Apr 2025
Weight Ensembling Improves Reasoning in Language Models Xingyu Dang Christina Baek Kaiyue Wen Zico Kolter Aditi Raghunathan MoMe LRM 89 3 0 14 Apr 2025
Query-based Knowledge Transfer for Heterogeneous Learning Environments Norah Alballa Wenxuan Zhang Ziquan Liu A. Abdelmoniem Mohamed Elhoseiny Marco Canini 160 0 0 12 Apr 2025
Explainable AI-Based Interface System for Weather Forecasting Model Soyeon Kim Junho Choi Yeji Choi Subeen Lee Artyom Stitsyuk Minkyoung Park Seongyeop Jeong Youhyun Baek Jaesik Choi XAI 109 2 0 01 Apr 2025
VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection Bin Zhang Xiaoyang Qu Guokuan Li Jiguang Wan Jianzong Wang VLM 112 0 0 28 Mar 2025
Uncertainty Weighted Gradients for Model Calibration Jinxu Lin Linwei Tao Minjing Dong Chang Xu UQCV 98 0 0 26 Mar 2025
Uncertainty Distillation: Teaching Language Models to Express Semantic Confidence Sophia Hager David Mueller Kevin Duh Nicholas Andrews 89 1 0 18 Mar 2025
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration Siguang Huang Yunli Wang Lili Mou Huayue Zhang Ziru Xu Chuan Yu Bo Zheng 148 15 0 13 Mar 2025
Similarity-Distance-Magnitude Universal Verification Allen Schmaltz UQCV AAML 455 0 0 27 Feb 2025
Optimizing Estimators of Squared Calibration Errors in Classification Sebastian G. Gruber Francis Bach 186 2 0 24 Feb 2025
Large Language Model Confidence Estimation via Black-Box Access Tejaswini Pedapati Amit Dhurandhar Soumya Ghosh Soham Dan P. Sattigeri 184 5 0 21 Feb 2025
Machine-generated text detection prevents language model collapse George Drayson Emine Yilmaz Vasileios Lampos DeLMO 138 1 0 21 Feb 2025
CER: Confidence Enhanced Reasoning in LLMs Ali Razghandi Seyed Mohammad Hadi Hosseini Mahdieh Soleymani Baghshah LRM 139 5 0 20 Feb 2025
Cross-Domain Continual Learning for Edge Intelligence in Wireless ISAC Networks Jingzhi Hu Xin Li Zhou Su Jun Luo 144 0 0 18 Feb 2025
SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models Seanie Lee Dong Bok Lee Dominik Wagner Minki Kang Haebin Seong Tobias Bocklet Juho Lee Sung Ju Hwang 63 2 0 18 Feb 2025
Uncertainty-Aware Explanations Through Probabilistic Self-Explainable Neural Networks Jon Vadillo Roberto Santana J. A. Lozano Marta Z. Kwiatkowska BDL AAML 124 0 0 17 Feb 2025
Conformal Prediction Sets Can Cause Disparate Impact Jesse C. Cresswell Bhargava Kumar Yi Sui Mouloud Belbahri FaML 425 1 0 17 Feb 2025
Uncertainty-Aware Step-wise Verification with Generative Reward Models Zihuiwen Ye Luckeciano C. Melo Younesse Kaddar Phil Blunsom Shivalika Singh Yarin Gal LRM 114 4 0 16 Feb 2025
Smoothing Out Hallucinations: Mitigating LLM Hallucination with Smoothed Knowledge Distillation Hieu Nguyen Zihao He Shoumik Atul Gandre Ujjwal Pasupulety Sharanya Kumari Shivakumar Kristina Lerman HILM 100 1 0 16 Feb 2025
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts Sameer Ambekar Zehao Xiao Xiantong Zhen Cees G. M. Snoek OOD 130 0 0 15 Feb 2025
Representation Learning on Out of Distribution in Tabular Data Achmad Ginanjar Xue Li Priyanka Singh Wen Hua LMTD 463 0 0 14 Feb 2025
On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms Luke E. Richards Jessie Yaros Jasen Babcock Coung Ly Robin Cosbey Timothy Doster Cynthia Matuszek NAI 99 0 0 13 Feb 2025
Confidence Elicitation: A New Attack Vector for Large Language Models Brian Formento Chuan-Sheng Foo See-Kiong Ng AAML 205 0 0 07 Feb 2025
Technical report on label-informed logit redistribution for better domain generalization in low-shot classification with foundation models Behraj Khan T. Syed 395 1 0 29 Jan 2025
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models Yibin Wang Haizhou Shi Ligong Han Dimitris N. Metaxas Hao Wang BDL UQLM 176 9 0 28 Jan 2025
Conformalized Answer Set Prediction for Knowledge Graph Embedding Yuqicheng Zhu Nico Potyka Jiarong Pan Bo Xiong Yunjie He Evgeny Kharlamov Steffen Staab 173 1 0 28 Jan 2025
HopCast: Calibration of Autoregressive Dynamics Models Muhammad Bilal Shahid Cody H. Fleming UQCV 97 0 0 27 Jan 2025
Uncertainty Quantification With Noise Injection in Neural Networks: A Bayesian Perspective Xueqiong Yuan Jipeng Li E. Kuruoglu UQCV BDL 89 0 0 21 Jan 2025
Enhancing Uncertainty Estimation in Semantic Segmentation via Monte-Carlo Frequency Dropout Tal Zeevi Lawrence H. Staib J. Onofrey OOD UQCV 85 0 0 20 Jan 2025
Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks Yang Wang Chenghua Lin ELM 150 0 0 05 Jan 2025
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference Jiayi Huang Sangwoo Park Osvaldo Simeone 166 2 0 03 Jan 2025
Ultrasound Lung Aeration Map via Physics-Aware Neural Operators Jiayun Wang Oleksii Ostras Masashi Sode Bahareh Tolooshams Zongyi Li Kamyar Azizzadenesheli Gianmarco Pinton Anima Anandkumar 62 1 0 03 Jan 2025
Measuring Error Alignment for Decision-Making Systems Binxia Xu Antonis Bikakis Daniel Onah A. Vlachidis Luke Dickens 69 0 0 03 Jan 2025
Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images Xiaoge Zhang Tao Wang Chao Yan Fedaa Najdawi Kai Zhou Yuan Ma Yiu-ming Cheung Bradley Malin MedIm 364 0 0 03 Jan 2025
GPT or BERT: why not both? Lucas Georges Gabriel Charpentier David Samuel 116 5 0 31 Dec 2024
Uncertainty Herding: One Active Learning Method for All Label Budgets Wonho Bae Gabriel L. Oliveira Danica J. Sutherland UQCV 350 0 0 30 Dec 2024
Uncertainty quantification for improving radiomic-based models in radiation pneumonitis prediction Chanon Puttanawarut Romen Samuel Wabina Nat Sirirutbunkajorn AI4CE 76 0 0 27 Dec 2024
Pretraining with random noise for uncertainty calibration Jeonghwan Cheon Se-Bum Paik OnRL 126 1 0 23 Dec 2024
Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Burak Ekim G. Tadesse Caleb Robinson G. Q. Hacheme Michael Schmitt Rahul Dodhia J. L. Ferres OODD 162 1 0 18 Dec 2024
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration D. Wolf Alexander Braun Markus Ulrich 212 0 0 18 Dec 2024