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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 / 3,763 papers shown
Beta Distribution Learning for Reliable Roadway Crash Risk Assessment
Beta Distribution Learning for Reliable Roadway Crash Risk Assessment
Ahmad Elallaf
Nathan Jacobs
Xinyue Ye
Mei Chen
G. Liang
182
0
0
07 Nov 2025
On Joint Regularization and Calibration in Deep Ensembles
On Joint Regularization and Calibration in Deep Ensembles
Laurits Fredsgaard
Mikkel N. Schmidt
UQCV
362
0
0
06 Nov 2025
Temporal Zoom Networks: Distance Regression and Continuous Depth for Efficient Action Localization
Temporal Zoom Networks: Distance Regression and Continuous Depth for Efficient Action Localization
Ibne Farabi Shihab
Sanjeda Akter
Anuj Sharma
202
0
0
06 Nov 2025
Simplex-FEM Networks (SiFEN): Learning A Triangulated Function Approximator
Simplex-FEM Networks (SiFEN): Learning A Triangulated Function Approximator
Chaymae Yahyati
Ismail Lamaakal
Khalid El Makkaoui
Ibrahim Ouahbi
Yassine Maleh
103
0
0
06 Nov 2025
Structured Matrix Scaling for Multi-Class Calibration
Structured Matrix Scaling for Multi-Class Calibration
Eugene Berta
David Holzmüller
Michael I. Jordan
Francis Bach
132
1
0
05 Nov 2025
Calibration improves detection of mislabeled examples
Calibration improves detection of mislabeled examples
Ilies Chibane
Thomas George
Pierre Nodet
Vincent Lemaire
124
0
0
04 Nov 2025
TabTune: A Unified Library for Inference and Fine-Tuning Tabular Foundation Models
TabTune: A Unified Library for Inference and Fine-Tuning Tabular Foundation Models
Aditya Tanna
Pratinav Seth
Mohamed Bouadi
Utsav Avaiya
Vinay Kumar Sankarapu
LMTD
318
0
0
04 Nov 2025
Trustworthy Quantum Machine Learning: A Roadmap for Reliability, Robustness, and Security in the NISQ Era
Trustworthy Quantum Machine Learning: A Roadmap for Reliability, Robustness, and Security in the NISQ Era
Ferhat Ozgur Catak
Jungwon Seo
Umit Cali
106
0
0
04 Nov 2025
A Preliminary Study of RAG for Taiwanese Historical Archives
A Preliminary Study of RAG for Taiwanese Historical Archives
Claire Lin
Bo-Han Feng
Xuanjun Chen
Te-Lun Yang
Hung-yi Lee
J. Jang
105
0
0
04 Nov 2025
Open the Oyster: Empirical Evaluation and Improvement of Code Reasoning Confidence in LLMs
Open the Oyster: Empirical Evaluation and Improvement of Code Reasoning Confidence in LLMs
Shufan Wang
Xing Hu
Junkai Chen
Zhiyuan Pan
Xin Xia
LRM
149
0
0
04 Nov 2025
TRACES: Temporal Recall with Contextual Embeddings for Real-Time Video Anomaly Detection
TRACES: Temporal Recall with Contextual Embeddings for Real-Time Video Anomaly Detection
Yousuf Ahmed Siddiqui
Sufiyaan Usmani
Umer Tariq
Jawwad A. Shamsi
Muhammad Burhan Khan
AI4TS
135
0
0
01 Nov 2025
More Than A Shortcut: A Hyperbolic Approach To Early-Exit Networks
More Than A Shortcut: A Hyperbolic Approach To Early-Exit Networks
Swapnil Bhosale
Cosmin Frateanu
Camilla Clark
Arnoldas Jasonas
Chris Mitchell
Xiatian Zhu
Vamsi Krishna Ithapu
Giacomo Ferroni
Cagdas Bilen
Sanjeel Parekh
112
0
0
01 Nov 2025
A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis
A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis
Ciaran Bench
Oskar Pfeffer
Vivek Desai
Mohammad Moulaeifard
Loic Coquelin
Peter H. Charlton
Nils Strodthoff
Nando Hegemann
Philip Aston
Andrew Thompson
185
0
0
31 Oct 2025
HyperClick: Advancing Reliable GUI Grounding via Uncertainty Calibration
HyperClick: Advancing Reliable GUI Grounding via Uncertainty Calibration
Shaojie Zhang
Pei Fu
Ruoceng Zhang
Jiahui Yang
Anan Du
...
S. Wang
Ying Huang
Bin Qin
Zhenbo Luo
Jian Luan
157
0
0
31 Oct 2025
Calibration Across Layers: Understanding Calibration Evolution in LLMs
Calibration Across Layers: Understanding Calibration Evolution in LLMs
Abhinav Joshi
A. Ahmad
Ashutosh Modi
UQCV
340
2
0
31 Oct 2025
Dynamic Model Selection for Trajectory Prediction via Pairwise Ranking and Meta-Features
Dynamic Model Selection for Trajectory Prediction via Pairwise Ranking and Meta-Features
Lu Bowen
205
0
0
31 Oct 2025
Before the Clinic: Transparent and Operable Design Principles for Healthcare AI
Before the Clinic: Transparent and Operable Design Principles for Healthcare AI
Alexander Bakumenko
Aaron J. Masino
Janine Hoelscher
125
1
0
31 Oct 2025
ResMatching: Noise-Resilient Computational Super-Resolution via Guided Conditional Flow Matching
ResMatching: Noise-Resilient Computational Super-Resolution via Guided Conditional Flow Matching
Anirban Ray
Vera Galinova
Florian Jug
OOD
191
0
0
30 Oct 2025
Multiclass Local Calibration With the Jensen-Shannon Distance
Multiclass Local Calibration With the Jensen-Shannon Distance
Cesare Barbera
Lorenzo Perini
Giovanni De Toni
Andrea Passerini
Andrea Pugnana
UQCV
313
0
0
30 Oct 2025
CausalGuard: A Smart System for Detecting and Preventing False Information in Large Language Models
CausalGuard: A Smart System for Detecting and Preventing False Information in Large Language Models
Piyushkumar Patel
HILMLRM
103
0
0
30 Oct 2025
A-TPT: Angular Diversity Calibration Properties for Test-Time Prompt Tuning of Vision-Language Models
A-TPT: Angular Diversity Calibration Properties for Test-Time Prompt Tuning of Vision-Language Models
Shihab Aaqil Ahamed
Udaya S.K.P. Miriya Thanthrige
Ranga Rodrigo
Muhammad Haris Khan
VLM
214
0
0
30 Oct 2025
Scalable Utility-Aware Multiclass Calibration
Scalable Utility-Aware Multiclass Calibration
Mahmoud Hegazy
Michael I. Jordan
Aymeric Dieuleveut
93
0
0
29 Oct 2025
Prototype-Driven Adaptation for Few-Shot Object Detection
Prototype-Driven Adaptation for Few-Shot Object Detection
Yushen Huang
Zhiming Wang
ObjD
141
0
0
29 Oct 2025
Adaptive EEG-based stroke diagnosis with a GRU-TCN classifier and deep Q-learning thresholding
Adaptive EEG-based stroke diagnosis with a GRU-TCN classifier and deep Q-learning thresholding
Shakeel Abdulkareem
Bora Yimenicioglu
Khartik Uppalapati
Aneesh Gudipati
Adan Eftekhari
Saleh Yassin
182
0
0
28 Oct 2025
HACK: Hallucinations Along Certainty and Knowledge Axes
HACK: Hallucinations Along Certainty and Knowledge Axes
Adi Simhi
Jonathan Herzig
Itay Itzhak
Dana Arad
Zorik Gekhman
Roi Reichart
Fazl Barez
Gabriel Stanovsky
Idan Szpektor
Yonatan Belinkov
200
1
0
28 Oct 2025
Machine Learning based Analysis for Radiomics Features Robustness in Real-World Deployment Scenarios
Machine Learning based Analysis for Radiomics Features Robustness in Real-World Deployment Scenarios
Sarmad Ahmad Khan
Simon Bernatz
Zahra Moslehi
Florian Buettner
OOD
242
0
0
28 Oct 2025
Rethinking Inference Placement for Deep Learning across Edge and Cloud Platforms: A Multi-Objective Optimization Perspective and Future Directions
Rethinking Inference Placement for Deep Learning across Edge and Cloud Platforms: A Multi-Objective Optimization Perspective and Future Directions
Zongshun Zhang
I. Matta
136
1
0
27 Oct 2025
BrowseConf: Confidence-Guided Test-Time Scaling for Web Agents
BrowseConf: Confidence-Guided Test-Time Scaling for Web Agents
Litu Ou
Kuan Li
Huifeng Yin
L. Zhang
Zhongwang Zhang
...
Rui Ye
Zile Qiao
Pengjun Xie
Jingren Zhou
Yong Jiang
LLMAG
211
0
0
27 Oct 2025
MergeMix: A Unified Augmentation Paradigm for Visual and Multi-Modal Understanding
MergeMix: A Unified Augmentation Paradigm for Visual and Multi-Modal Understanding
Xin Jin
Siyuan Li
Siyong Jian
Kai Yu
Huan Wang
152
0
0
27 Oct 2025
Robust Decision Making with Partially Calibrated Forecasts
Robust Decision Making with Partially Calibrated Forecasts
Shayan Kiyani
Hamed Hassani
George Pappas
Aaron Roth
158
0
0
27 Oct 2025
The Limits of Data Scaling: Sub-token Utilization and Acoustic Saturation in Multilingual ASR
The Limits of Data Scaling: Sub-token Utilization and Acoustic Saturation in Multilingual ASR
Siyu Liang
Nicolas Ballier
Gina-Anne Levow
Richard Wright
93
0
0
26 Oct 2025
Benchmarking ResNet for Short-Term Hypoglycemia Classification with DiaData
Benchmarking ResNet for Short-Term Hypoglycemia Classification with DiaData
Beyza Cinar
Maria Maleshkova
73
2
0
26 Oct 2025
Uncertainty-Aware Autonomous Vehicles: Predicting the Road Ahead
Uncertainty-Aware Autonomous Vehicles: Predicting the Road Ahead
Shireen Kudukkil Manchingal
Armand Amaritei
Mihir Gohad
Maryam Sultana
Julian F. P. Kooij
Fabio Cuzzolin
Andrew Bradley
UQCVEDL
314
0
0
26 Oct 2025
Multi-Modal Fact-Verification Framework for Reducing Hallucinations in Large Language Models
Multi-Modal Fact-Verification Framework for Reducing Hallucinations in Large Language Models
Piyushkumar Patel
HILM
177
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Input Adaptive Bayesian Model Averaging
Input Adaptive Bayesian Model Averaging
Yuli Slavutsky
Sebastian Salazar
David Blei
117
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Adaptive Data Selection for Multi-Layer Perceptron Training: A Sub-linear Value-Driven Method
Adaptive Data Selection for Multi-Layer Perceptron Training: A Sub-linear Value-Driven Method
Xiyang Zhang
Chen Liang
Haoxuan Qiu
Hongzhi Wang
151
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String Seed of Thought: Prompting LLMs for Distribution-Faithful and Diverse Generation
String Seed of Thought: Prompting LLMs for Distribution-Faithful and Diverse Generation
Kou Misaki
Takuya Akiba
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210
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Uncertainty-Aware Multi-Objective Reinforcement Learning-Guided Diffusion Models for 3D De Novo Molecular Design
Uncertainty-Aware Multi-Objective Reinforcement Learning-Guided Diffusion Models for 3D De Novo Molecular Design
Lianghong Chen
Dongkyu Eugene Kim
Mike Domaratzki
Pingzhao Hu
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205
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K-DAREK: Distance Aware Error for Kurkova Kolmogorov Networks
K-DAREK: Distance Aware Error for Kurkova Kolmogorov Networks
Masoud Ataei
Vikas Dhiman
M. J. Khojasteh
180
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On Uncertainty Calibration for Equivariant Functions
On Uncertainty Calibration for Equivariant Functions
Edward Berman
Jacob Ginesin
Marco Pacini
Robin Walters
271
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Federated Learning via Meta-Variational Dropout
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Minui Hong
Junhyeog Yun
Gunhee Kim
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What Does It Take to Build a Performant Selective Classifier?
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Nicolas Papernot
217
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Can Confidence Estimates Decide When Chain-of-Thought Is Necessary for LLMs?
Can Confidence Estimates Decide When Chain-of-Thought Is Necessary for LLMs?
Samuel Lewis-Lim
Xingwei Tan
Zhixue Zhao
Nikolaos Aletras
LRM
266
1
0
23 Oct 2025
Systematic Evaluation of Uncertainty Estimation Methods in Large Language Models
Systematic Evaluation of Uncertainty Estimation Methods in Large Language Models
Christian Hobelsberger
Theresa Winner
Andreas Nawroth
Oliver Mitevski
Anna-Carolina Haensch
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137
0
0
23 Oct 2025
Bayesian Inference of Primordial Magnetic Field Parameters from CMB with Spherical Graph Neural Networks
Bayesian Inference of Primordial Magnetic Field Parameters from CMB with Spherical Graph Neural Networks
Juan Alejandro Pinto Castro
Héctor J. Hortúa
J. E. García-Farieta
Roger Anderson Hurtado
149
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Calibration and Discrimination Optimization Using Clusters of Learned Representation
Calibration and Discrimination Optimization Using Clusters of Learned Representation
Tomer Lavi
Bracha Shapira
Nadav Rappoport
109
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Knowledge Distillation of Uncertainty using Deep Latent Factor Model
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Sehyun Park
Jongjin Lee
Yunseop Shin
Ilsang Ohn
Yongdai Kim
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384
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Uncertainty evaluation of segmentation models for Earth observation
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Andriy Mnih
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197
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Uncertainty Estimation by Flexible Evidential Deep Learning
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Taeseong Yoon
Heeyoung Kim
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281
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Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers
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Firas Gabetni
Giuseppe Curci
Andrea Pilzer
Subhankar Roy
Elisa Ricci
Gianni Franchi
143
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