On Calibration of Modern Neural Networks

14 June 2017

Papers citing "On Calibration of Modern Neural Networks"

50 / 1,060 papers shown

Title
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning Prashant Bhat Bharath Renjith Elahe Arani Bahram Zonooz CLL 45 2 0 28 Apr 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 34 1 0 23 Apr 2024
Optimizing Calibration by Gaining Aware of Prediction Correctness Yuchi Liu Lei Wang Yuli Zou James Zou Liang Zheng UQCV 44 1 0 19 Apr 2024
Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty Luca Mossina Joseba Dalmau Léo Andéol UQCV 40 12 0 16 Apr 2024
Language Model Cascades: Token-level uncertainty and beyond Neha Gupta Harikrishna Narasimhan Wittawat Jitkrittum A. S. Rawat A. Menon Sanjiv Kumar UQLM 53 42 0 15 Apr 2024
CREST: Cross-modal Resonance through Evidential Deep Learning for Enhanced Zero-Shot Learning Haojian Huang Xiaozhen Qiao Zhuo Chen Haodong Chen Bingyu Li Zhe Sun Mulin. Chen Xuelong Li 34 10 0 15 Apr 2024
LoRA Dropout as a Sparsity Regularizer for Overfitting Control Yang Lin Xinyu Ma Xu Chu Yujie Jin Zhibang Yang Yasha Wang Hong-yan Mei 49 19 0 15 Apr 2024
Confidence Calibration and Rationalization for LLMs via Multi-Agent Deliberation Ruixin Yang Dheeraj Rajagopal S. Hayati Bin Hu Dongyeop Kang LLMAG 43 4 0 14 Apr 2024
On the Independence Assumption in Neurosymbolic Learning Emile van Krieken Pasquale Minervini E. Ponti Antonio Vergari 48 11 0 12 Apr 2024
Calibration of Continual Learning Models Lanpei Li Elia Piccoli Andrea Cossu Davide Bacciu Vincenzo Lomonaco CLL 37 2 0 11 Apr 2024
Multicalibration for Confidence Scoring in LLMs Gianluca Detommaso Martín Bertrán Riccardo Fogliato Aaron Roth 29 12 0 06 Apr 2024
Calibrating the Confidence of Large Language Models by Eliciting Fidelity Mozhi Zhang Mianqiu Huang Rundong Shi Linsen Guo Chong Peng Peng Yan Yaqian Zhou Xipeng Qiu 22 10 0 03 Apr 2024
Measuring Social Norms of Large Language Models Ye Yuan Kexin Tang Jianhao Shen Ming Zhang Chenguang Wang ELM 34 6 0 03 Apr 2024
Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models Jingyang Zhang Jingwei Sun Eric C. Yeats Ouyang Yang Martin Kuo Jianyi Zhang Hao Frank Yang Hai "Helen" Li 43 41 0 03 Apr 2024
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models Josip Jukić Jan Snajder 37 0 0 31 Mar 2024
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World Bowen Lei Dongkuan Xu Ruqi Zhang Bani Mallick UQCV 36 0 0 29 Mar 2024
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding Lingdong Kong Xiang Xu Jun Cen Wenwei Zhang Liang Pan Kai-xiang Chen Ziwei Liu 50 5 0 25 Mar 2024
Do not trust what you trust: Miscalibration in Semi-supervised Learning Shambhavi Mishra Balamurali Murugesan Ismail Ben Ayed M. Pedersoli Jose Dolz 48 2 0 22 Mar 2024
Class and Region-Adaptive Constraints for Network Calibration Balamurali Murugesan Julio Silva-Rodríguez Ismail Ben Ayed Jose Dolz 36 1 0 19 Mar 2024
Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction Ziyang Xu Keqin Peng Liang Ding Dacheng Tao Xiliang Lu 34 10 0 15 Mar 2024
"Are You Really Sure?" Understanding the Effects of Human Self-Confidence Calibration in AI-Assisted Decision Making Shuai Ma Xinru Wang Ying Lei Chuhan Shi Ming Yin Xiaojuan Ma 29 24 0 14 Mar 2024
Uncertainty in Graph Neural Networks: A Survey Fangxin Wang Yuqing Liu Kay Liu Yibo Wang Sourav Medya Philip S. Yu AI4CE 48 8 0 11 Mar 2024
Debiasing Multimodal Large Language Models Yi-Fan Zhang Weichen Yu Qingsong Wen Xue Wang Zhang Zhang Liang Wang Rong Jin Tien-Ping Tan 45 4 0 08 Mar 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction Fei Zhu Xu-Yao Zhang Zhen Cheng Cheng-Lin Liu UQCV 49 10 0 05 Mar 2024
Federated Learning over Connected Modes Dennis Grinwald Philipp Wiesner Shinichi Nakajima FedML 45 0 0 05 Mar 2024
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation Yidong Zhao João Tourais Iain Pierce Christian Nitsche T. Treibel Sebastian Weingartner Artur M. Schweidtmann Qian Tao BDL UQCV 43 5 0 04 Mar 2024
Towards Calibrated Deep Clustering Network Yuheng Jia Jianhong Cheng Hui Liu Junhui Hou UQCV 47 1 0 04 Mar 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 56 17 0 28 Feb 2024
Calibration of Deep Learning Classification Models in fNIRS Zhihao Cao Zizhou Luo 36 1 0 23 Feb 2024
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration Wonjeong Choi Jun-Gyu Park Dong-Jun Han Younghyun Park Jaekyun Moon 42 1 0 22 Feb 2024
Calibrating Large Language Models with Sample Consistency Qing Lyu Kumar Shridhar Chaitanya Malaviya Li Zhang Yanai Elazar Niket Tandon Marianna Apidianaki Mrinmaya Sachan Chris Callison-Burch 43 23 0 21 Feb 2024
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex Yasushi Esaki Akihiro Nakamura Keisuke Kawano Ryoko Tokuhisa Takuro Kutsuna 43 0 0 21 Feb 2024
Tighter Bounds on the Information Bottleneck with Application to Deep Learning Nir Weingarten Z. Yakhini Moshe Butman Ran Gilad-Bachrach AAML 30 1 0 12 Feb 2024
Overconfident and Unconfident AI Hinder Human-AI Collaboration Jingshu Li Yitian Yang Renwen Zhang Yi-Chieh Lee 37 1 0 12 Feb 2024
Predictive Churn with the Set of Good Models J. Watson-Daniels Flavio du Pin Calmon Alexander DÁmour Carol Xuan Long David C. Parkes Berk Ustun 83 7 0 12 Feb 2024
LiRank: Industrial Large Scale Ranking Models at LinkedIn Fedor Borisyuk Mingzhou Zhou Qingquan Song Siyu Zhu B. Tiwana ... Chen-Chen Jiang Haichao Wei Maneesh Varshney Amol Ghoting Souvik Ghosh 29 1 0 10 Feb 2024
Multi-source-free Domain Adaptation via Uncertainty-aware Adaptive Distillation Yaxuan Song Jianan Fan Dongnan Liu Weidong Cai 23 0 0 09 Feb 2024
Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic Surgery Mengya Xu Mobarakol Islam Long Bai Hongliang Ren 25 5 0 08 Feb 2024
NoisyICL: A Little Noise in Model Parameters Calibrates In-context Learning Yufeng Zhao Yoshihiro Sakai Naoya Inoue 33 3 0 08 Feb 2024
Cross Entropy versus Label Smoothing: A Neural Collapse Perspective Li Guo Keith Ross Zifan Zhao George Andriopoulos Shuyang Ling Yufeng Xu Zixuan Dong UQCV NoLa 30 9 0 06 Feb 2024
Sample, estimate, aggregate: A recipe for causal discovery foundation models Menghua Wu Yujia Bao Regina Barzilay Tommi Jaakkola CML 49 7 0 02 Feb 2024
Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data Angus Dempster Geoffrey I. Webb Daniel F. Schmidt 29 0 0 28 Jan 2024
Bayesian Inference Accelerator for Spiking Neural Networks Prabodh Katti Anagha Nimbekar Chen Li Amit Acharyya Bashir M. Al-Hashimi Bipin Rajendran TPM 15 2 0 27 Jan 2024
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable? Sonia Laguna Ricards Marcinkevics Moritz Vandenhirtz Julia E. Vogt 35 17 0 24 Jan 2024
Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy Will LeVine Benjamin Pikus Jacob Phillips Berk Norman Fernando Amat Gil Sean Hendryx OODD 70 1 0 22 Jan 2024
Confidence Preservation Property in Knowledge Distillation Abstractions Dmitry Vengertsev Elena Sherman 38 0 0 21 Jan 2024
ContextMix: A context-aware data augmentation method for industrial visual inspection systems Hyungmin Kim Donghun Kim Pyunghwan Ahn Sungho Suh Hansang Cho Junmo Kim 29 2 0 18 Jan 2024
Learning Shortcuts: On the Misleading Promise of NLU in Language Models Geetanjali Bihani Julia Taylor Rayz 33 3 0 17 Jan 2024
Uncertainty estimates for semantic segmentation: providing enhanced reliability for automated motor claims handling Jan Küchler Daniel Kröll S. Schoenen Andreas Witte UQCV 40 1 0 17 Jan 2024
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift Renchunzi Xie Ambroise Odonnat Vasilii Feofanov I. Redko Jianfeng Zhang Bo An UQCV 77 1 0 17 Jan 2024