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On Calibration of Modern Neural Networks
v1v2 (latest)

On Calibration of Modern Neural Networks

International Conference on Machine Learning (ICML), 2017
14 June 2017
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
    UQCV
ArXiv (abs)PDFHTML

Papers citing "On Calibration of Modern Neural Networks"

50 / 3,760 papers shown
How Safe Will I Be Given What I Saw? Calibrated Prediction of Safety Chances for Image-Controlled Autonomy
How Safe Will I Be Given What I Saw? Calibrated Prediction of Safety Chances for Image-Controlled Autonomy
Zhenjiang Mao
Mrinall Eashaan Umasudhan
Ivan Ruchkin
162
1
0
12 Aug 2025
Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation
Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation
Sameer Ambekar
Daniel M. Lang
Julia A. Schnabel
112
0
0
11 Aug 2025
Grasp-HGN: Grasping the Unexpected
Grasp-HGN: Grasping the UnexpectedACM Transactions on Embedded Computing Systems (ACM TECS), 2025
Mehrshad Zandigohar
Mallesham Dasari
G. Schirner
73
0
0
11 Aug 2025
Towards Unveiling Predictive Uncertainty Vulnerabilities in the Context of the Right to Be Forgotten
Towards Unveiling Predictive Uncertainty Vulnerabilities in the Context of the Right to Be Forgotten
Wei Qian
Chenxu Zhao
Yangyi Li
Wenqian Ye
Mengdi Huai
AAML
169
1
0
10 Aug 2025
Confidence Estimation for Text-to-SQL in Large Language Models
Confidence Estimation for Text-to-SQL in Large Language Models
Sepideh Entezari Maleki
Mohammadreza Pourreza
Davood Rafiei
96
1
0
08 Aug 2025
Overconfidence in LLM-as-a-Judge: Diagnosis and Confidence-Driven Solution
Overconfidence in LLM-as-a-Judge: Diagnosis and Confidence-Driven Solution
Zailong Tian
Zhuoheng Han
Yanzhe Chen
Haozhe Xu
Xi Yang
Richeng Xuan
Houfeng Wang
Lizi Liao
ELM
175
7
0
08 Aug 2025
SPA++: Generalized Graph Spectral Alignment for Versatile Domain Adaptation
SPA++: Generalized Graph Spectral Alignment for Versatile Domain Adaptation
Zhiqing Xiao
Haobo Wang
Xu Lu
Wentao Ye
Gang Chen
Junbo Zhao
116
0
0
07 Aug 2025
Benchmarking Uncertainty and its Disentanglement in multi-label Chest X-Ray Classification
Benchmarking Uncertainty and its Disentanglement in multi-label Chest X-Ray Classification
Simon Baur
Wojciech Samek
Jackie Ma
UQCV
181
1
0
06 Aug 2025
Sensitivity of Stability: Theoretical & Empirical Analysis of Replicability for Adaptive Data Selection in Transfer Learning
Sensitivity of Stability: Theoretical & Empirical Analysis of Replicability for Adaptive Data Selection in Transfer Learning
Prabhav Singh
Jessica Sorrell
132
0
0
06 Aug 2025
ConfProBench: A Confidence Evaluation Benchmark for MLLM-Based Process Judges
ConfProBench: A Confidence Evaluation Benchmark for MLLM-Based Process Judges
Yue Zhou
Yi-Ju Chang
Yuan Wu
LRM
72
0
0
06 Aug 2025
Pseudo-label Induced Subspace Representation Learning for Robust Out-of-Distribution Detection
Pseudo-label Induced Subspace Representation Learning for Robust Out-of-Distribution Detection
Tarhib Al Azad
Faizul Rakib Sayem
Shahana Ibrahim
149
0
0
05 Aug 2025
Rep-GLS: Report-Guided Generalized Label Smoothing for Robust Disease Detection
Rep-GLS: Report-Guided Generalized Label Smoothing for Robust Disease Detection
Kunyu Zhang
Lin Gu
Liangchen Liu
Yingke Chen
Binyang Wang
Jin Yan
Jinhao Bi
Yingying Zhu
NoLa
318
0
0
04 Aug 2025
Coward: Collision-based Watermark for Proactive Federated Backdoor Detection
Coward: Collision-based Watermark for Proactive Federated Backdoor Detection
Wenjie Li
Siying Gu
Yiming Li
Kangjie Chen
Zhili Chen
Tianwei Zhang
Shu-Tao Xia
Dacheng Tao
AAML
146
1
0
04 Aug 2025
A Confidence-Diversity Framework for Calibrating AI Judgement in Accessible Qualitative Coding Tasks
A Confidence-Diversity Framework for Calibrating AI Judgement in Accessible Qualitative Coding Tasks
Zhilong Zhao
Yindi Liu
142
0
0
04 Aug 2025
StutterCut: Uncertainty-Guided Normalised Cut for Dysfluency Segmentation
StutterCut: Uncertainty-Guided Normalised Cut for Dysfluency Segmentation
Suhita Ghosh
Melanie Jouaiti
Jan-Ole Perschewski
Sebastian Stober
106
0
0
04 Aug 2025
Dynamic Feature Selection based on Rule-based Learning for Explainable Classification with Uncertainty Quantification
Dynamic Feature Selection based on Rule-based Learning for Explainable Classification with Uncertainty Quantification
Javier Fumanal-Idocin
Raquel Fernandez-Peralta
Javier Andreu-Perez
123
0
0
04 Aug 2025
Forecasting West Nile virus with deep graph encoders
Forecasting West Nile virus with deep graph encoders
Ethan Greiffenstein
Trevor Harris
Rebecca Smith
100
0
0
04 Aug 2025
Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models
Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models
Yijun Feng
HILM
110
3
0
03 Aug 2025
ModelNet40-E: An Uncertainty-Aware Benchmark for Point Cloud Classification
ModelNet40-E: An Uncertainty-Aware Benchmark for Point Cloud Classification
Pedro Alonso
Tianrui Li
Chongshou Li
3DPC
205
0
0
02 Aug 2025
DisTaC: Conditioning Task Vectors via Distillation for Robust Model Merging
DisTaC: Conditioning Task Vectors via Distillation for Robust Model Merging
Kotaro Yoshida
Yuji Naraki
Takafumi Horie
Ryotaro Shimizu
Hiroki Naganuma
MoMeVLM
176
0
0
02 Aug 2025
Uncertainty Quantification for Large-Scale Deep Networks via Post-StoNet Modeling
Uncertainty Quantification for Large-Scale Deep Networks via Post-StoNet Modeling
Y. Sun
Faming Liang
UQCV
128
0
0
02 Aug 2025
v-PuNNs: van der Put Neural Networks for Transparent Ultrametric Representation Learning
v-PuNNs: van der Put Neural Networks for Transparent Ultrametric Representation Learning
Gnankan Landry Regis N'guessan
118
0
0
01 Aug 2025
Calibrated Language Models and How to Find Them with Label Smoothing
Calibrated Language Models and How to Find Them with Label Smoothing
J. Huang
Peng Lu
Qiuhao Zeng
236
1
0
01 Aug 2025
Are Recommenders Self-Aware? Label-Free Recommendation Performance Estimation via Model Uncertainty
Are Recommenders Self-Aware? Label-Free Recommendation Performance Estimation via Model Uncertainty
Jiayu Li
Ziyi Ye
Guohao Jian
Zhiqiang Guo
Weizhi Ma
Jiaxin Mao
Min Zhang
181
0
0
31 Jul 2025
Beyond topography: Topographic regularization improves robustness and reshapes representations in convolutional neural networks
Beyond topography: Topographic regularization improves robustness and reshapes representations in convolutional neural networks
Nhut Truong
Uri Hasson
100
0
0
31 Jul 2025
COOkeD: Ensemble-based OOD detection in the era of zero-shot CLIP
COOkeD: Ensemble-based OOD detection in the era of zero-shot CLIP
Galadrielle Humblot-Renaux
Gianni Franchi
Sergio Escalera
T. Moeslund
VLMOODOODD
274
0
0
30 Jul 2025
CaliMatch: Adaptive Calibration for Improving Safe Semi-supervised Learning
CaliMatch: Adaptive Calibration for Improving Safe Semi-supervised Learning
Jinsoo Bae
S. Kim
Hyungrok Do
103
0
0
30 Jul 2025
Label-free estimation of clinically relevant performance metrics under distribution shifts
Label-free estimation of clinically relevant performance metrics under distribution shifts
Tim Flühmann
Alceu Bissoto
Trung-Dung Hoang
Lisa M. Koch
OOD
89
0
0
30 Jul 2025
Bayesian Neural Network Surrogates for Bayesian Optimization of Carbon Capture and Storage Operations
Bayesian Neural Network Surrogates for Bayesian Optimization of Carbon Capture and Storage Operations
Sofianos Panagiotis Fotias
Vassilis Gaganis
209
0
0
29 Jul 2025
Probabilistic Consistency in Machine Learning and Its Connection to Uncertainty Quantification
Probabilistic Consistency in Machine Learning and Its Connection to Uncertainty Quantification
P. Patrone
Anthony J. Kearsley
296
1
0
29 Jul 2025
Optimizing Active Learning in Vision-Language Models via Parameter-Efficient Uncertainty Calibration
Optimizing Active Learning in Vision-Language Models via Parameter-Efficient Uncertainty Calibration
Athmanarayanan Lakshmi Narayanan
Amrutha Machireddy
R. Krishnan
UQCV
175
0
0
29 Jul 2025
Adversarial Defence without Adversarial Defence: Enhancing Language Model Robustness via Instance-level Principal Component Removal
Adversarial Defence without Adversarial Defence: Enhancing Language Model Robustness via Instance-level Principal Component Removal
Yang Wang
Chenghao Xiao
Yi Zhou
Stuart E. Middleton
Noura Al Moubayed
C. D. Lin
AAML
303
1
0
29 Jul 2025
Priority-Aware Clinical Pathology Hierarchy Training for Multiple Instance Learning
Priority-Aware Clinical Pathology Hierarchy Training for Multiple Instance Learning
Sungrae Hong
Kyungeun Kim
Juhyeon Kim
Sol Lee
Jisu Shin
Chanjae Song
Mun Yi
147
0
0
28 Jul 2025
Bag of Coins: A Statistical Probe into Neural Confidence Structures
Bag of Coins: A Statistical Probe into Neural Confidence Structures
Agnideep Aich
Ashit Aich
Md Monzur Murshed
Sameera Hewage
Bruce Wade
UQCV
238
0
0
26 Jul 2025
SIDE: Sparse Information Disentanglement for Explainable Artificial Intelligence
SIDE: Sparse Information Disentanglement for Explainable Artificial Intelligence
Viktar Dubovik
Łukasz Struski
Jacek Tabor
Dawid Rymarczyk
247
0
0
25 Jul 2025
SimMLM: A Simple Framework for Multi-modal Learning with Missing Modality
SimMLM: A Simple Framework for Multi-modal Learning with Missing Modality
Sijie Li
Chen Chen
Jungong Han
181
4
0
25 Jul 2025
FinDPO: Financial Sentiment Analysis for Algorithmic Trading through Preference Optimization of LLMs
FinDPO: Financial Sentiment Analysis for Algorithmic Trading through Preference Optimization of LLMs
Giorgos Iacovides
Wuyang Zhou
Danilo Mandic
149
3
0
24 Jul 2025
Integrating Belief Domains into Probabilistic Logic Programs
Integrating Belief Domains into Probabilistic Logic ProgramsTheory and Practice of Logic Programming (TPLP), 2025
Damiano Azzolini
Fabrizio Riguzzi
T. Swift
93
0
0
23 Jul 2025
To Trust or Not to Trust: On Calibration in ML-based Resource Allocation for Wireless Networks
To Trust or Not to Trust: On Calibration in ML-based Resource Allocation for Wireless NetworksIEEE Transactions on Network Science and Engineering (IEEE TNS&E), 2025
Rashika Raina
Nidhi Simmons
D. Simmons
M. Yacoub
Trung Q. Duong
160
0
0
23 Jul 2025
Confidence Calibration in Vision-Language-Action Models
Confidence Calibration in Vision-Language-Action Models
Thomas P. Zollo
R. Zemel
140
1
0
23 Jul 2025
Semantic-Aware Gaussian Process Calibration with Structured Layerwise Kernels for Deep Neural Networks
Semantic-Aware Gaussian Process Calibration with Structured Layerwise Kernels for Deep Neural Networks
Kyung-Hwan Lee
Kyung-Tae Kim
183
0
0
21 Jul 2025
Label tree semantic losses for rich multi-class medical image segmentation
Label tree semantic losses for rich multi-class medical image segmentation
Junwen Wang
O. MacCormac
William Rochford
Aaron Kujawa
J. Shapey
Tom Vercauteren
196
0
0
21 Jul 2025
Theoretical Foundations and Mitigation of Hallucination in Large Language Models
Theoretical Foundations and Mitigation of Hallucination in Large Language Models
Esmail Gumaan
HILM
125
2
0
20 Jul 2025
Deep Hidden Cognition Facilitates Reliable Chain-of-Thought Reasoning
Deep Hidden Cognition Facilitates Reliable Chain-of-Thought Reasoning
Zijun Chen
Wenbo Hu
Richang Hong
LRM
148
0
0
14 Jul 2025
ZClassifier: Temperature Tuning and Manifold Approximation via KL Divergence on Logit Space
ZClassifier: Temperature Tuning and Manifold Approximation via KL Divergence on Logit Space
Shim Soon Yong
254
0
0
14 Jul 2025
Knowing When to Quit: Probabilistic Early Exits for Speech Separation
Knowing When to Quit: Probabilistic Early Exits for Speech Separation
Kenny Falkær Olsen
Mads Østergaard
Karl Ulbæk
S. F. V. Nielsen
Rasmus Malik Høegh Lindrup
Bjørn Sand Jensen
Morten Mørup
UQCV
243
0
0
13 Jul 2025
Calibrated and Robust Foundation Models for Vision-Language and Medical Image Tasks Under Distribution Shift
Calibrated and Robust Foundation Models for Vision-Language and Medical Image Tasks Under Distribution Shift
Behraj Khan
T. Syed
Nouman Durrani
Bilal Naseem
Shabir Ahmad
Rizwan Qureshi
MedImVLM
258
0
0
12 Jul 2025
Monitoring Risks in Test-Time Adaptation
Monitoring Risks in Test-Time Adaptation
Mona Schirmer
Metod Jazbec
C. A. Naesseth
Eric T. Nalisnick
TTA
504
2
0
11 Jul 2025
Where are we with calibration under dataset shift in image classification?
Where are we with calibration under dataset shift in image classification?
Mélanie Roschewitz
Raghav Mehta
Fabio De Sousa Ribeiro
Ben Glocker
244
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ViLU: Learning Vision-Language Uncertainties for Failure Prediction
ViLU: Learning Vision-Language Uncertainties for Failure Prediction
Marc Lafon
Yannis Karmim
Julio Silva-Rodríguez
Paul Couairon
Clément Rambour
Raphael Fournier SÑiehotta
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Jose Dolz
Nicolas Thome
546
2
0
10 Jul 2025
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