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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
Efficient Prompting via Dynamic In-Context Learning
Efficient Prompting via Dynamic In-Context Learning
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Robert Bamler
Mrinmaya Sachan
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18 May 2023
Universal Domain Adaptation from Foundation Models: A Baseline Study
Universal Domain Adaptation from Foundation Models: A Baseline Study
Bin Deng
Kui Jia
VLM
322
12
0
18 May 2023
Minimum-Risk Recalibration of Classifiers
Minimum-Risk Recalibration of ClassifiersNeural Information Processing Systems (NeurIPS), 2023
Zeyu Sun
Dogyoon Song
Alfred Hero
226
9
0
18 May 2023
Accurate and Reliable Confidence Estimation Based on Non-Autoregressive
  End-to-End Speech Recognition System
Accurate and Reliable Confidence Estimation Based on Non-Autoregressive End-to-End Speech Recognition SystemInterspeech (Interspeech), 2023
Xian Shi
Haoneng Luo
Zhifu Gao
Shiliang Zhang
Zhijie Yan
153
3
0
18 May 2023
Variational Classification
Variational Classification
Shehzaad Dhuliawala
Mrinmaya Sachan
Carl Allen
BDL
357
8
0
17 May 2023
Properties of the ENCE and other MAD-based calibration metrics
Properties of the ENCE and other MAD-based calibration metrics
P. Pernot
155
8
0
17 May 2023
Topological Interpretability for Deep-Learning
Topological Interpretability for Deep-LearningPlatform for Advanced Scientific Computing Conference (PASC), 2023
Adam Spannaus
Heidi A. Hanson
Lynne Penberthy
Georgia D. Tourassi
131
4
0
15 May 2023
Document Understanding Dataset and Evaluation (DUDE)
Document Understanding Dataset and Evaluation (DUDE)IEEE International Conference on Computer Vision (ICCV), 2023
Jordy Van Landeghem
Rubèn Pérez Tito
Łukasz Borchmann
Michal Pietruszka
Pawel Józiak
...
Bertrand Ackaert
Ernest Valveny
Matthew Blaschko
Sien Moens
Tomasz Stanislawek
VGen
328
111
0
15 May 2023
Lightweight Delivery Detection on Doorbell Cameras
Lightweight Delivery Detection on Doorbell CamerasIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Pirazh Khorramshahi
Zhe Wu
Tianchen Wang
Luke Deluccia
Hongcheng Wang
199
0
0
13 May 2023
Calibration-Aware Bayesian Learning
Calibration-Aware Bayesian LearningInternational Workshop on Machine Learning for Signal Processing (MLSP), 2023
Jiayi Huang
Sangwoo Park
Osvaldo Simeone
BDLUQCV
193
3
0
12 May 2023
Simple Token-Level Confidence Improves Caption Correctness
Simple Token-Level Confidence Improves Caption CorrectnessIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Suzanne Petryk
Spencer Whitehead
Joseph E. Gonzalez
Trevor Darrell
Anna Rohrbach
Marcus Rohrbach
245
10
0
11 May 2023
A Survey on the Robustness of Computer Vision Models against Common
  Corruptions
A Survey on the Robustness of Computer Vision Models against Common Corruptions
Shunxin Wang
Raymond N. J. Veldhuis
Christoph Brune
N. Strisciuglio
OODVLM
607
22
0
10 May 2023
A Hybrid of Generative and Discriminative Models Based on the
  Gaussian-coupled Softmax Layer
A Hybrid of Generative and Discriminative Models Based on the Gaussian-coupled Softmax LayerIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Hideaki Hayashi
225
6
0
10 May 2023
Who Needs Decoders? Efficient Estimation of Sequence-level Attributes
Who Needs Decoders? Efficient Estimation of Sequence-level AttributesConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Yassir Fathullah
Puria Radmard
Adian Liusie
Mark Gales
OODD
184
1
0
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Uncertainty Quantification in Machine Learning for Engineering Design
  and Health Prognostics: A Tutorial
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A TutorialMechanical systems and signal processing (MSSP), 2023
V. Nemani
Luca Biggio
Xun Huan
Zhen Hu
Olga Fink
Anh Tran
Yan Wang
Xiaoge Zhang
Chao Hu
AI4CE
287
125
0
07 May 2023
Maintaining Stability and Plasticity for Predictive Churn Reduction
Maintaining Stability and Plasticity for Predictive Churn Reduction
George Adam
B. Haibe-Kains
Anna Goldenberg
228
1
0
06 May 2023
Uncertainty-Aware Bootstrap Learning for Joint Extraction on
  Distantly-Supervised Data
Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised DataAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Yufei Li
Xiao Yu
Yanchi Liu
Haifeng Chen
Cong Liu
UQCVSSL
186
10
0
05 May 2023
Boldness-Recalibration for Binary Event Predictions
Boldness-Recalibration for Binary Event PredictionsAmerican Statistician (Am. Stat.), 2023
Adeline P. Guthrie
C. Franck
180
2
0
05 May 2023
Vera: A General-Purpose Plausibility Estimation Model for Commonsense
  Statements
Vera: A General-Purpose Plausibility Estimation Model for Commonsense StatementsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Hamish Ivison
Wenya Wang
Dianzhuo Wang
Noah A. Smith
Yejin Choi
Hannaneh Hajishirzi
VLM
301
61
0
05 May 2023
Low-Resource Multi-Granularity Academic Function Recognition Based on
  Multiple Prompt Knowledge
Low-Resource Multi-Granularity Academic Function Recognition Based on Multiple Prompt KnowledgeElectronic library (EL), 2023
Jiawei Liu
Ziteng Xiong
Yi-ping Jiang
Yongqiang Ma
Wei Lu
Yong Huang
Qikai Cheng
151
3
0
05 May 2023
Conformal Nucleus Sampling
Conformal Nucleus SamplingAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Shauli Ravfogel
Carlos Wert Carvajal
M.F. Eggl
UQLM
306
31
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04 May 2023
Transfer and Active Learning for Dissonance Detection: Addressing the
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Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class ChallengeAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Vasudha Varadarajan
Swanie Juhng
Syeda Mahwish
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Jonah Luby
C. Luhmann
H. Andrew Schwartz
270
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SimSC: A Simple Framework for Semantic Correspondence with Temperature
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Matthias Lalisse
Kai Han
Xingchen Wan
P. Smolensky
223
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03 May 2023
Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation
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Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss InformationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Sunjae Kwon
Rishabh Garodia
Linghe Wang
Zhichao Yang
Hong-ye Yu
CoGe
403
6
0
02 May 2023
Great Models Think Alike: Improving Model Reliability via Inter-Model
  Latent Agreement
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent AgreementInternational Conference on Machine Learning (ICML), 2023
Ailin Deng
Miao Xiong
Bryan Hooi
371
9
0
02 May 2023
Convergence and error analysis of PINNs
Convergence and error analysis of PINNs
Nathan Doumèche
Gérard Biau
D. Boyer
PINNAI4CE
182
26
0
02 May 2023
Self-Evaluation Guided Beam Search for Reasoning
Self-Evaluation Guided Beam Search for ReasoningNeural Information Processing Systems (NeurIPS), 2023
Yuxi Xie
Kenji Kawaguchi
Yiran Zhao
Xu Zhao
MingSung Kan
Junxian He
Qizhe Xie
LRM
599
231
0
01 May 2023
Reliable Gradient-free and Likelihood-free Prompt Tuning
Reliable Gradient-free and Likelihood-free Prompt TuningFindings (Findings), 2023
Maohao Shen
S. Ghosh
P. Sattigeri
Subhro Das
Yuheng Bu
G. Wornell
VLM
297
15
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30 Apr 2023
The ART of Transfer Learning: An Adaptive and Robust Pipeline
The ART of Transfer Learning: An Adaptive and Robust Pipeline
Boxiang Wang
Yunan "Charles" Wu
Chenglong Ye
MedImOOD
165
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0
30 Apr 2023
Calibration Error Estimation Using Fuzzy Binning
Calibration Error Estimation Using Fuzzy BinningAnnual Conference on the North American Fuzzy Information Processing Society (NAFIPS), 2023
Geetanjali Bihani
Julia Taylor Rayz
422
3
0
30 Apr 2023
Online Platt Scaling with Calibeating
Online Platt Scaling with CalibeatingInternational Conference on Machine Learning (ICML), 2023
Chirag Gupta
Aaditya Ramdas
269
6
0
28 Apr 2023
Quality-agnostic Image Captioning to Safely Assist People with Vision
  Impairment
Quality-agnostic Image Captioning to Safely Assist People with Vision ImpairmentInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Lu Yu
Malvina Nikandrou
Jiali Jin
Verena Rieser
158
6
0
28 Apr 2023
Cluster Flow: how a hierarchical clustering layer make allows deep-NNs
  more resilient to hacking, more human-like and easily implements relational
  reasoning
Cluster Flow: how a hierarchical clustering layer make allows deep-NNs more resilient to hacking, more human-like and easily implements relational reasoning
E. Gale
Oliver Matthews
3DH
84
0
0
27 Apr 2023
Large Scale Genealogical Information Extraction From Handwritten Quebec
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Large Scale Genealogical Information Extraction From Handwritten Quebec Parish RecordsInternational Journal on Document Analysis and Recognition (IJDAR), 2023
Solène Tarride
Martin Maarand
Mélodie Boillet
James McGrath
Eugénie Capel
H. Vézina
Christopher Kermorvant
167
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Neural Keyphrase Generation: Analysis and Evaluation
Neural Keyphrase Generation: Analysis and Evaluation
Tuhin Kundu
Jishnu Ray Chowdhury
Cornelia Caragea
173
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Towards Reliable Colorectal Cancer Polyps Classification via Vision
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Towards Reliable Colorectal Cancer Polyps Classification via Vision Based Tactile Sensing and Confidence-Calibrated Neural NetworksInternational Symposium on Medical Robotics (ISMR), 2023
Siddhartha Kapuria
Tarunraj G. Mohanraj
Nethra Venkatayogi
Ozdemir Can Kara
Y. Hirata
P. Minot
Ariel Kapusta
N. Ikoma
Farshid Alambeigi
201
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25 Apr 2023
QuantProb: Generalizing Probabilities along with Predictions for a
  Pre-trained Classifier
QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained ClassifierConference on Uncertainty in Artificial Intelligence (UAI), 2023
Aditya Challa
Snehanshu Saha
S. Dhavala
UQCV
257
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25 Apr 2023
Synthetic Datasets for Autonomous Driving: A Survey
Synthetic Datasets for Autonomous Driving: A SurveyIEEE Transactions on Intelligent Vehicles (TIV), 2023
Zhihang Song
Zimin He
Xingyu Li
Q. Ma
RuiBo Ming
...
Huaxin Pei
Lihui Peng
Jianming Hu
Dingyi Yao
Yan Zhang
237
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Generating Post-hoc Explanations for Skip-gram-based Node Embeddings by
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Generating Post-hoc Explanations for Skip-gram-based Node Embeddings by Identifying Important Nodes with BridgenessNeural Networks (Neural Netw.), 2023
Hogun Park
Jennifer Neville
339
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24 Apr 2023
Quantile Extreme Gradient Boosting for Uncertainty Quantification
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Xiaozhe Yin
Masoud Fallah-Shorshani
R. McConnell
S. Fruin
Yao-Yi Chiang
M. Franklin
UQCV
162
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0
23 Apr 2023
Evaluating ChatGPT's Information Extraction Capabilities: An Assessment
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Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness
Bo Li
Gexiang Fang
Yang Yang
Quansen Wang
Wei Ye
Wen Zhao
Shikun Zhang
ELMAI4MH
528
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23 Apr 2023
A Meta-heuristic Approach to Estimate and Explain Classifier Uncertainty
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A. Houston
Georgina Cosma
169
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Efficient Uncertainty Estimation in Spiking Neural Networks via
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Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropoutInternational Conference on Artificial Neural Networks (ICANN), 2023
Tao Sun
Bojian Yin
S. Bohté
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183
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20 Apr 2023
Decoupled Training for Long-Tailed Classification With Stochastic
  Representations
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Sunguk Jang
Juho Lee
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164
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Perception Imitation: Towards Synthesis-free Simulator for Autonomous
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159
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Decoding Neural Activity to Assess Individual Latent State in
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On Uncertainty Calibration and Selective Generation in Probabilistic
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ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic
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