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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 / 3,766 papers shown
Benchmarking Generative AI Models for Deep Learning Test Input
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Benchmarking Generative AI Models for Deep Learning Test Input GenerationInternational Conference on Information Control Systems & Technologies (ICST), 2024
Maryam
Matteo Biagiola
Andrea Stocco
Vincenzo Riccio
VLM
179
8
0
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Pretraining with random noise for uncertainty calibration
Pretraining with random noise for uncertainty calibration
Jeonghwan Cheon
Se-Bum Paik
OnRL
498
2
0
23 Dec 2024
Out-of-Distribution Detection with Prototypical Outlier Proxy
Out-of-Distribution Detection with Prototypical Outlier ProxyAAAI Conference on Artificial Intelligence (AAAI), 2024
Mingrong Gong
Chaoqi Chen
Qingqiang Sun
Yue Wang
Hui Huang
OODD
455
3
0
22 Dec 2024
Prior2Posterior: Model Prior Correction for Long-Tailed Learning
Prior2Posterior: Model Prior Correction for Long-Tailed LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
S Divakar Bhat
Amit More
Mudit Soni
Surbhi Agrawal
301
0
0
21 Dec 2024
Cross-View Consistency Regularisation for Knowledge Distillation
Cross-View Consistency Regularisation for Knowledge DistillationACM Multimedia (MM), 2024
W. Zhang
Dongnan Liu
Weidong Cai
Chao Ma
467
7
0
21 Dec 2024
Re-evaluating Group Robustness via Adaptive Class-Specific Scaling
Re-evaluating Group Robustness via Adaptive Class-Specific ScalingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Seonguk Seo
Bohyung Han
307
0
0
19 Dec 2024
On Calibration in Multi-Distribution Learning
On Calibration in Multi-Distribution LearningConference on Fairness, Accountability and Transparency (FAccT), 2024
Rajeev Verma
Volker Fischer
Eric Nalisnick
227
1
0
18 Dec 2024
Adaptive Calibration: A Unified Conversion Framework of Spiking Neural
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Adaptive Calibration: A Unified Conversion Framework of Spiking Neural NetworkAAAI Conference on Artificial Intelligence (AAAI), 2023
Xiping Hu
Yuetong Fang
Jiahang Cao
Hongwei Ren
Zhanchen Zhu
332
8
0
18 Dec 2024
Multi-Granularity Open Intent Classification via Adaptive Granular-Ball
  Decision Boundary
Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision BoundaryAAAI Conference on Artificial Intelligence (AAAI), 2024
Yongbin Li
Xiaocao Ouyang
Chaofan Pan
Jing Zhang
Sen Zhao
Shuyin Xia
Xin Yang
G. Wang
Tianrui Li
315
1
0
18 Dec 2024
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration
D. Wolf
Alexander Braun
Markus Ulrich
538
0
0
18 Dec 2024
Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation
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
516
6
0
18 Dec 2024
A Survey of Calibration Process for Black-Box LLMs
A Survey of Calibration Process for Black-Box LLMs
Liangru Xie
Hui Liu
Jingying Zeng
Xianfeng Tang
Yan Han
Chen Luo
Jing Huang
Zhen Li
Suhang Wang
Qi He
354
8
0
17 Dec 2024
Development of an End-to-end Machine Learning System with Application to
  In-app Purchases
Development of an End-to-end Machine Learning System with Application to In-app Purchases
Dionysios Varelas
Elena Bonan
Lewis Anderson
Anders Englesson
Christoffer Åhrling
Adrian Chmielewski-Anders
OffRL
354
0
0
16 Dec 2024
UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models
UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Boyang Xue
Fei Mi
Qi Zhu
Hongru Wang
Rui Wang
Sheng Wang
Erxin Yu
Xuming Hu
Kam-Fai Wong
HILM
539
7
0
16 Dec 2024
Task Diversity in Bayesian Federated Learning: Simultaneous Processing
  of Classification and Regression
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and RegressionKnowledge Discovery and Data Mining (KDD), 2024
Junliang Lyu
Yixuan Zhang
Xiaoling Lu
Feng Zhou
FedML
416
2
0
14 Dec 2024
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling
Combining Priors with Experience: Confidence Calibration Based on Binomial Process ModelingAAAI Conference on Artificial Intelligence (AAAI), 2024
Jinzong Dong
Zhaohui Jiang
Dong Pan
Haoyang Yu
361
1
0
14 Dec 2024
Preventing Conflicting Gradients in Neural Marked Temporal Point
  Processes
Preventing Conflicting Gradients in Neural Marked Temporal Point Processes
T. Bosser
Souhaib Ben Taieb
AI4TS
307
0
0
11 Dec 2024
SMARTCAL: An Approach to Self-Aware Tool-Use Evaluation and Calibration
SMARTCAL: An Approach to Self-Aware Tool-Use Evaluation and CalibrationConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Yuanhao Shen
Xiaodan Zhu
Lei Chen
336
10
0
11 Dec 2024
T-TIME: Test-Time Information Maximization Ensemble for Plug-and-Play
  BCIs
T-TIME: Test-Time Information Maximization Ensemble for Plug-and-Play BCIsIEEE Transactions on Biomedical Engineering (IEEE Trans. Biomed. Eng.), 2023
Siyang Li
Ziwei Wang
Hanbin Luo
L. Ding
Dongrui Wu
308
30
0
10 Dec 2024
I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token
I Don't Know: Explicit Modeling of Uncertainty with an [IDK] TokenNeural Information Processing Systems (NeurIPS), 2024
Roi Cohen
Konstantin Dobler
Eden Biran
Gerard de Melo
458
18
0
09 Dec 2024
Epistemic Uncertainty for Generated Image Detection
Epistemic Uncertainty for Generated Image Detection
Jun Nie
Yonggang Zhang
Tongliang Liu
Yiu-ming Cheung
Bo Han
Xinmei Tian
UQCV
317
1
0
08 Dec 2024
Training-Free Bayesianization for Low-Rank Adapters of Large Language Models
Training-Free Bayesianization for Low-Rank Adapters of Large Language Models
Haizhou Shi
Yibin Wang
Ligong Han
Huatian Zhang
Hao Wang
UQCV
621
3
0
07 Dec 2024
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future DirectionsACM Computing Surveys (ACM CSUR), 2024
Ola Shorinwa
Zhiting Mei
Justin Lidard
Allen Z. Ren
Anirudha Majumdar
HILMLRM
438
19
0
07 Dec 2024
Enhancing Trust in Large Language Models with Uncertainty-Aware
  Fine-Tuning
Enhancing Trust in Large Language Models with Uncertainty-Aware Fine-Tuning
R. Krishnan
Piyush Khanna
Omesh Tickoo
HILM
297
8
0
03 Dec 2024
ProbPose: A Probabilistic Approach to 2D Human Pose Estimation
ProbPose: A Probabilistic Approach to 2D Human Pose EstimationComputer Vision and Pattern Recognition (CVPR), 2024
Miroslav Purkrábek
Jiri Matas
3DH
342
7
0
03 Dec 2024
VideoICL: Confidence-based Iterative In-context Learning for
  Out-of-Distribution Video Understanding
VideoICL: Confidence-based Iterative In-context Learning for Out-of-Distribution Video UnderstandingComputer Vision and Pattern Recognition (CVPR), 2024
Kangsan Kim
G. Park
Youngwan Lee
Woongyeong Yeo
Sung Ju Hwang
342
12
0
03 Dec 2024
Enhancing Zero-shot Chain of Thought Prompting via Uncertainty-Guided Strategy SelectionInternational Conference on Computational Linguistics (COLING), 2024
Shanu Kumar
Saish Mendke
Karody Lubna Abdul Rahman
Santosh Kurasa
Parag Agrawal
Sandipan Dandapat
LLMAGLRM
396
5
0
30 Nov 2024
In-Context Learning with Noisy Labels
In-Context Learning with Noisy Labels
Junyong Kang
Donghyun Son
Hwanjun Song
Buru Chang
258
0
0
29 Nov 2024
Exponential Moving Average of Weights in Deep Learning: Dynamics and
  Benefits
Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits
Daniel Morales-Brotons
Thijs Vogels
Aymeric Dieuleveut
411
72
0
27 Nov 2024
Emergence of Self-Identity in AI: A Mathematical Framework and Empirical
  Study with Generative Large Language Models
Emergence of Self-Identity in AI: A Mathematical Framework and Empirical Study with Generative Large Language Models
Minhyeok Lee
210
0
0
27 Nov 2024
Harnessing Superclasses for Learning from Hierarchical Databases
Harnessing Superclasses for Learning from Hierarchical Databases
Nicolas Urbani
Sylvain Rousseau
Yves Grandvalet
Leonardo Tanzi
349
1
0
25 Nov 2024
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
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
1.1K
1
0
25 Nov 2024
Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization
Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization
Dun Zeng
Zheshun Wu
Shiyu Liu
Yu Pan
Xiaoying Tang
Zenglin Xu
MLTFedML
526
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25 Nov 2024
Customer Lifetime Value Prediction with Uncertainty Estimation Using
  Monte Carlo Dropout
Customer Lifetime Value Prediction with Uncertainty Estimation Using Monte Carlo Dropout
Xinzhe Cao
Yadong Xu
Xiaofeng Yang
297
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24 Nov 2024
Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model
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Ashwin Ramachandran
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295
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PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification
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405
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22 Nov 2024
Chanel-Orderer: A Channel-Ordering Predictor for Tri-Channel Natural
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Shen Li
Lei Jiang
Wei Wang
Hongwei Hu
Liang Li
351
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0
20 Nov 2024
Fine-Grained Uncertainty Quantification via Collisions
Fine-Grained Uncertainty Quantification via Collisions
Jesse Friedbaum
Sudarshan Adiga
Ravi Tandon
545
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0
18 Nov 2024
Variational Bayesian Bow tie Neural Networks with Shrinkage
Alisa Sheinkman
Sara Wade
BDLUQCV
391
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17 Nov 2024
Image-based Outlier Synthesis With Training Data
Sudarshan Regmi
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494
2
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16 Nov 2024
Any2Any: Incomplete Multimodal Retrieval with Conformal Prediction
Any2Any: Incomplete Multimodal Retrieval with Conformal Prediction
Po-han Li
Yunhao Yang
Mohammad Omama
Sandeep Chinchali
Ufuk Topcu
260
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Melanoma Detection with Uncertainty Quantification
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SangHyuk Kim
Edward Gaibor
Brian Matejek
Daniel Haehn
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116
1
0
15 Nov 2024
Inherently Interpretable and Uncertainty-Aware Models for Online
  Learning in Cyber-Security Problems
Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems
Benjamin Kolicic
Alberto Caron
Chris Hicks
V. Mavroudis
AI4CE
247
2
0
14 Nov 2024
Stabilized Inverse Probability Weighting via Isotonic Calibration
Stabilized Inverse Probability Weighting via Isotonic CalibrationCLEaR (CLEaR), 2024
L. Laan
Ziming Lin
M. Carone
Alex Luedtke
497
6
0
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Web Scale Graph Mining for Cyber Threat Intelligence
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Scott Freitas
Amir Gharib
222
2
0
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Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank Adaptation
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Ayan Sengupta
Vaibhav Seth
Arinjay Pathak
Aastha Verma
Natraj Raman
Sriram Gopalakrishnan
Niladri Chatterjee
Tanmoy Chakraborty
BDL
486
3
0
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Labels in Extremes: How Well Calibrated are Extreme Multi-label
  Classifiers?
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Erik Schultheis
Jinbin Zhang
Rohit Babbar
211
1
0
06 Nov 2024
Self-supervised Representation Learning for Cell Event Recognition
  through Time Arrow Prediction
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Vinay P. Namboodiri
Julia E. Sero
175
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Confidence Calibration of Classifiers with Many Classes
Confidence Calibration of Classifiers with Many ClassesNeural Information Processing Systems (NeurIPS), 2024
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Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios
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Peijie Jiang
Aiwei Liu
Jia Liu
Xuming Hu
360
11
0
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