On Calibration of Modern Neural Networks

14 June 2017

Papers citing "On Calibration of Modern Neural Networks"

50 / 154 papers shown

Title
UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models Boyang Xue Fei Mi Qi Zhu Hongru Wang Rui Wang Sheng Wang Erxin Yu Xuming Hu Kam-Fai Wong HILM 168 2 0 16 Dec 2024
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling Jinzong Dong Zhaohui Jiang Dong Pan Haoyang Yu 80 0 0 14 Dec 2024
Training-Free Bayesianization for Low-Rank Adapters of Large Language Models Haizhou Shi Yibin Wang Ligong Han Huatian Zhang Hao Wang UQCV 177 2 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 238 1 0 25 Nov 2024
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification Sara Pohland Claire Tomlin UQCV 150 1 0 22 Nov 2024
Fine-Grained Uncertainty Quantification via Collisions Jesse Friedbaum Sudarshan Adiga Ravi Tandon 114 0 0 18 Nov 2024
Going Beyond Conventional OOD Detection Sudarshan Regmi OODD 89 1 0 16 Nov 2024
Stabilized Inverse Probability Weighting via Isotonic Calibration L. Laan Ziming Lin M. Carone Alex Luedtke 66 2 0 10 Nov 2024
Legitimate ground-truth-free metrics for deep uncertainty classification scoring Arthur Pignet Chiara Regniez John Klein 117 1 0 30 Oct 2024
On the Robustness of Adversarial Training Against Uncertainty Attacks Emanuele Ledda Giovanni Scodeller Daniele Angioni Giorgio Piras Antonio Emanuele Cinà Giorgio Fumera Battista Biggio Fabio Roli AAML 108 1 0 29 Oct 2024
Estimating Causal Effects of Text Interventions Leveraging LLMs Siyi Guo Myrl G. Marmarelis Fred Morstatter Kristina Lerman CML 397 0 0 28 Oct 2024
Revisiting Differential Verification: Equivalence Verification with Confidence Samuel Teuber Philipp Kern Marvin Janzen Bernhard Beckert 64 0 0 26 Oct 2024
Efficient Biological Data Acquisition through Inference Set Design Ihor Neporozhnii Julien Roy Emmanuel Bengio Jason Hartford 72 1 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 Wang LRM 85 13 0 17 Oct 2024
On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs Herun Wan Minnan Luo Zhixiong Su Guang Dai Xiang Zhao DeLMO 82 0 0 16 Oct 2024
Fractal Calibration for long-tailed object detection Konstantinos Panagiotis Alexandridis Ismail Elezi Jiankang Deng Anh H. Nguyen Shan Luo 380 0 0 15 Oct 2024
Exploring Semi-Supervised Learning for Online Mapping Adam Lilja Erik Wallin Junsheng Fu Lars Hammarstrand SSL 99 1 0 14 Oct 2024
On Calibration of LLM-based Guard Models for Reliable Content Moderation Hongfu Liu Hengguan Huang Hao Wang Xiangming Gu Ye Wang 113 4 0 14 Oct 2024
Taming Overconfidence in LLMs: Reward Calibration in RLHF Jixuan Leng Chengsong Huang Banghua Zhu Jiaxin Huang 76 14 0 13 Oct 2024
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks Dingyi Zhuang Chonghe Jiang Yunhan Zheng Shenhao Wang Jinhua Zhao UQCV 86 0 0 12 Oct 2024
Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs Ruijia Niu D. Wu Rose Yu Yi-An Ma 65 2 0 09 Oct 2024
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling Jasmine Bayrooti Carl Henrik Ek Amanda Prorok 131 0 0 07 Oct 2024
Calibrating Expressions of Certainty Peiqi Wang Barbara D. Lam Yingcheng Liu Ameneh Asgari-Targhi Yikang Shen W. Wells Tina Kapur Polina Golland 76 2 0 06 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 90 6 0 04 Oct 2024
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models Shuoyuan Wang Yixuan Li Hongxin Wei VLM 99 2 0 03 Oct 2024
ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration Zixiang Wang Yinghao Zhu Huiya Zhao Xiaochen Zheng Tianlong Wang ... Yasha Wang Ewen M. Harrison Junyi Gao Liantao Ma Liantao Ma 92 4 0 03 Oct 2024
Gradient-free variational learning with conditional mixture networks Conor Heins Hao Wu Dimitrije Marković Alexander Tschantz Jeff Beck Christopher L. Buckley BDL 63 3 0 29 Aug 2024
DIAGen: Semantically Diverse Image Augmentation with Generative Models for Few-Shot Learning Tobias Lingenberg Markus Reuter Gopika Sudhakaran Dominik Gojny Stefan Roth Simone Schaub-Meyer DiffM 87 3 0 26 Aug 2024
A Review of Pseudo-Labeling for Computer Vision Patrick Kage Jay C. Rothenberger Pavlos Andreadis Dimitrios I. Diochnos VLM 83 6 0 13 Aug 2024
Perception Matters: Enhancing Embodied AI with Uncertainty-Aware Semantic Segmentation Sai Prasanna Daniel Honerkamp Kshitij Sirohi Tim Welschehold Wolfram Burgard Abhinav Valada 71 1 0 05 Aug 2024
Weighted Aggregation of Conformity Scores for Classification Rui Luo Zhixin Zhou 379 10 0 14 Jul 2024
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks Wataru Hashimoto Hidetaka Kamigaito Taro Watanabe 85 0 0 02 Jul 2024
Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks Aidan Furlong Farah Alsafadi S. Palmtag Andrew Godfrey Xu Wu 104 1 0 27 Jun 2024
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 99 1 0 25 Jun 2024
Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization Wenkai Yang Shiqi Shen Guangyao Shen Zhi Gong Yankai Lin Zhi Gong Yankai Lin Ji-Rong Wen 79 15 0 17 Jun 2024
Uncertainty modeling for fine-tuned implicit functions A. Susmelj Mael Macuglia Nataša Tagasovska Reto Sutter Sebastiano Caprara Jean-Philippe Thiran E. Konukoglu 113 1 0 17 Jun 2024
Adding Conditional Control to Diffusion Models with Reinforcement Learning Yulai Zhao Masatoshi Uehara Gabriele Scalia Tommaso Biancalani Sergey Levine Ehsan Hajiramezanali Ehsan Hajiramezanali AI4CE 92 6 0 17 Jun 2024
DistilDoc: Knowledge Distillation for Visually-Rich Document Applications Jordy Van Landeghem Subhajit Maity Ayan Banerjee Matthew Blaschko Marie-Francine Moens Josep Lladós Sanket Biswas 96 2 0 12 Jun 2024
Reassessing How to Compare and Improve the Calibration of Machine Learning Models M. Chidambaram Rong Ge 97 2 0 06 Jun 2024
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise T. Pouplin Alan Jeffares Nabeel Seedat Mihaela van der Schaar 382 3 0 05 Jun 2024
Orthogonal Causal Calibration Justin Whitehouse Christopher Jung Vasilis Syrgkanis Bryan Wilder Zhiwei Steven Wu CML 138 1 0 04 Jun 2024
Robust Classification by Coupling Data Mollification with Label Smoothing Markus Heinonen Ba-Hien Tran Michael Kampffmeyer Maurizio Filippone 93 1 0 03 Jun 2024
Learning Latent Graph Structures and their Uncertainty A. Manenti Daniele Zambon Cesare Alippi BDL 135 1 0 30 May 2024
Don't drop your samples! Coherence-aware training benefits Conditional diffusion Nicolas Dufour Victor Besnier Vicky Kalogeiton David Picard DiffM 101 2 0 30 May 2024
Rejection via Learning Density Ratios Alexander Soen Hisham Husain Philip Schulz Vu-Linh Nguyen 109 2 0 29 May 2024
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling Cristian Rodriguez-Opazo Ehsan Abbasnejad Damien Teney Edison Marrese-Taylor Hamed Damirchi Anton Van Den Hengel VLM 86 1 0 27 May 2024
Information-theoretic Generalization Analysis for Expected Calibration Error Futoshi Futami Masahiro Fujisawa UQCV CML 149 4 0 24 May 2024
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-Attention Networks Michelle Halbheer Dominik J. Mühlematter Alexander Becker Dominik Narnhofer Helge Aasen Konrad Schindler Mehmet Özgür Türkoglu UQCV 72 2 0 23 May 2024
Towards Certification of Uncertainty Calibration under Adversarial Attacks Cornelius Emde Francesco Pinto Thomas Lukasiewicz Philip Torr Adel Bibi AAML 92 0 0 22 May 2024
Uncertainty in latent representations of variational autoencoders optimized for visual tasks Josefina Catoni Enzo Ferrante Diego H. Milone Rodrigo Echeveste Diego H. Milone Balázs Meszéna Gergő Orbán Rodrigo Echeveste UQCV OOD BDL 72 1 0 23 Apr 2024