On Calibration of Modern Neural Networks

14 June 2017

Papers citing "On Calibration of Modern Neural Networks"

50 / 1,060 papers shown

Title
Confidence Elicitation: A New Attack Vector for Large Language Models Brian Formento Chuan-Sheng Foo See-Kiong Ng AAML 99 0 0 07 Feb 2025
Understanding the Capabilities and Limitations of Weak-to-Strong Generalization Wei Yao Wenkai Yang Zhilin Wang Yankai Lin Yong Liu ELM 105 1 0 03 Feb 2025
Rethinking Early Stopping: Refine, Then Calibrate Eugene Berta David Holzmüller Michael I. Jordan Francis Bach 67 0 0 31 Jan 2025
Technical report on label-informed logit redistribution for better domain generalization in low-shot classification with foundation models Behraj Khan T. Syed 136 1 0 29 Jan 2025
Extending Information Bottleneck Attribution to Video Sequences Veronika Solopova Lucas Schmidt Dorothea Kolossa 47 0 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 51 0 0 28 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 116 6 0 28 Jan 2025
HopCast: Calibration of Autoregressive Dynamics Models Muhammad Bilal Shahid Cody H. Fleming UQCV 45 0 0 27 Jan 2025
Breaking the SSL-AL Barrier: A Synergistic Semi-Supervised Active Learning Framework for 3D Object Detection Zengran Wang Yanan Zhang Jiaxin Chen Di Huang 37 0 0 26 Jan 2025
Uncertainty Quantification With Noise Injection in Neural Networks: A Bayesian Perspective Xueqiong Yuan Jipeng Li E. Kuruoglu UQCV BDL 45 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 53 0 0 20 Jan 2025
Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task Integration Sebastian Hafner Heng Fang Hossein Azizpour Y. Ban 54 1 0 20 Jan 2025
Confidence Estimation for Error Detection in Text-to-SQL Systems Oleg Somov Elena Tutubalina 43 1 0 17 Jan 2025
On the challenges of detecting MCI using EEG in the wild Aayush Mishra David Joffe Sankara Surendra Telidevara David S Oakley Anqi Liu 43 0 0 15 Jan 2025
Can Bayesian Neural Networks Explicitly Model Input Uncertainty? Matias Valdenegro-Toro Marco Zullich BDL PER UQCV UD 199 0 0 14 Jan 2025
Correcting Annotator Bias in Training Data: Population-Aligned Instance Replication (PAIR) Stephanie Eckman Bolei Ma Christoph Kern Rob Chew Barbara Plank Frauke Kreuter 41 0 0 12 Jan 2025
Measuring Error Alignment for Decision-Making Systems Binxia Xu Antonis Bikakis Daniel Onah A. Vlachidis Luke Dickens 41 0 0 03 Jan 2025
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference Jiayi Huang Sangwoo Park Osvaldo Simeone 105 2 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 39 0 0 03 Jan 2025
GPT or BERT: why not both? Lucas Georges Gabriel Charpentier David Samuel 49 5 0 31 Dec 2024
Neural Likelihood Surfaces for Spatial Processes with Computationally Intensive or Intractable Likelihoods Julia Walchessen Amanda Lenzi Mikael Kuusela 35 9 0 31 Dec 2024
Uncertainty Herding: One Active Learning Method for All Label Budgets Wonho Bae Gabriel L. Oliveira Danica J. Sutherland UQCV 161 0 0 30 Dec 2024
Pretraining with random noise for uncertainty calibration Jeonghwan Cheon Se-Bum Paik OnRL 43 0 0 23 Dec 2024
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration D. Wolf Alexander Braun Markus Ulrich 89 0 0 18 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 102 1 0 18 Dec 2024
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling Jinzong Dong Zhaohui Jiang Dong Pan Haoyang Yu 58 0 0 14 Dec 2024
Training-Free Bayesianization for Low-Rank Adapters of Large Language Models Haizhou Shi Yibin Wang Ligong Han H. M. Zhang Hao Wang UQCV 83 0 0 07 Dec 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 91 1 0 25 Nov 2024
Fine-Grained Uncertainty Quantification via Collisions Jesse Friedbaum S. Adiga Ravi Tandon 69 0 0 18 Nov 2024
Going Beyond Conventional OOD Detection Sudarshan Regmi OODD 58 1 0 16 Nov 2024
Stabilized Inverse Probability Weighting via Isotonic Calibration L. Laan Ziming Lin M. Carone Alex Luedtke 33 2 0 10 Nov 2024
Confidence Calibration of Classifiers with Many Classes Adrien LeCoz Stéphane Herbin Faouzi Adjed UQCV 37 1 0 05 Nov 2024
Legitimate ground-truth-free metrics for deep uncertainty classification scoring Arthur Pignet Chiara Regniez John Klein 72 1 0 30 Oct 2024
Estimating Causal Effects of Text Interventions Leveraging LLMs Siyi Guo Myrl G. Marmarelis Fred Morstatter Kristina Lerman CML 146 0 0 28 Oct 2024
Revisiting Differential Verification: Equivalence Verification with Confidence Samuel Teuber Philipp Kern Marvin Janzen Bernhard Beckert 38 0 0 26 Oct 2024
Efficient Biological Data Acquisition through Inference Set Design Ihor Neporozhnii Julien Roy Emmanuel Bengio Jason Hartford 48 0 0 25 Oct 2024
Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation Yiming Wang Pei Zhang Baosong Yang Derek F. Wong Rui-cang Wang LRM 50 4 0 17 Oct 2024
The Bayesian Confidence (BACON) Estimator for Deep Neural Networks Patrick D. Kee Max J. Brown Jonathan C. Rice Christian A. Howell UQCV 26 0 0 16 Oct 2024
Fractal Calibration for long-tailed object detection Konstantinos Panagiotis Alexandridis Ismail Elezi Jiankang Deng Anh H. Nguyen Shan Luo 127 0 0 15 Oct 2024
On Calibration of LLM-based Guard Models for Reliable Content Moderation Hongfu Liu Hengguan Huang Hao Wang Xiangming Gu Ye Wang 55 2 0 14 Oct 2024
Exploring Semi-Supervised Learning for Online Mapping Adam Lilja Erik Wallin Junsheng Fu Lars Hammarstrand SSL 48 1 0 14 Oct 2024
Taming Overconfidence in LLMs: Reward Calibration in RLHF Jixuan Leng Chengsong Huang Banghua Zhu Jiaxin Huang 34 7 0 13 Oct 2024
C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction Sets Kangdao Liu Hao Zeng Jianguo Huang Huiping Zhuang Chi-Man Vong Hongxin Wei 69 4 0 12 Oct 2024
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks Dingyi Zhuang Chonghe Jiang Yunhan Zheng Shenhao Wang Jinhua Zhao UQCV 39 0 0 12 Oct 2024
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery Shijie Ma Fei Zhu Zhun Zhong Wenzhuo Liu Xu-Yao Zhang Cheng-Lin Liu CLL 42 6 0 09 Oct 2024
Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs Ruijia Niu D. Wu Rose Yu Yi Ma 33 1 0 09 Oct 2024
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling Jasmine Bayrooti Carl Henrik Ek Amanda Prorok 42 0 0 07 Oct 2024
Calibrating Expressions of Certainty Peiqi Wang Barbara D. Lam Yingcheng Liu Ameneh Asgari-Targhi Rameswar Panda W. Wells Tina Kapur Polina Golland 34 1 0 06 Oct 2024
Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning Nils Lehmann Jakob Gawlikowski Adam J. Stewart Vytautas Jancauskas Stefan Depeweg Eric T. Nalisnick N. Gottschling 42 0 0 04 Oct 2024
Frame-Voyager: Learning to Query Frames for Video Large Language Models Sicheng Yu Chengkai Jin Huanyu Wang Zhenghao Chen Sheng Jin ... Zhenbang Sun Bingni Zhang Jiawei Wu Hao Zhang Qianru Sun 67 5 0 04 Oct 2024