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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
Multimodal Large Language Models to Support Real-World Fact-Checking
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356
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Revisiting Confidence Estimation: Towards Reliable Failure Prediction
Revisiting Confidence Estimation: Towards Reliable Failure Prediction
Fei Zhu
Xu-Yao Zhang
Zhen Cheng
Cheng-Lin Liu
UQCV
320
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05 Mar 2024
Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of
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Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models
Sang T. Truong
D. Q. Nguyen
Toan Nguyen
Dong D. Le
Nhi N. Truong
Tho Quan
Oluwasanmi Koyejo
207
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05 Mar 2024
Federated Learning over Connected Modes
Federated Learning over Connected Modes
Dennis Grinwald
Philipp Wiesner
Shinichi Nakajima
FedML
589
1
0
05 Mar 2024
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications
  to Cardiac MRI Segmentation
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
BDLUQCV
330
5
0
04 Mar 2024
COLA: Cross-city Mobility Transformer for Human Trajectory Simulation
COLA: Cross-city Mobility Transformer for Human Trajectory Simulation
Yu Wang
Tongya Zheng
Yuxuan Liang
Shunyu Liu
Mingli Song
282
31
0
04 Mar 2024
Towards Calibrated Deep Clustering Network
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Jianhong Cheng
Hui Liu
Junhui Hou
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502
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0
04 Mar 2024
Logit Standardization in Knowledge Distillation
Logit Standardization in Knowledge Distillation
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Wenqi Ren
Jingzhi Li
Rui Wang
Xiaochun Cao
306
155
0
03 Mar 2024
Mitigating the Bias in the Model for Continual Test-Time Adaptation
Mitigating the Bias in the Model for Continual Test-Time Adaptation
Inseop Chung
Kyomin Hwang
Jayeon Yoo
Nojun Kwak
TTA
265
0
0
02 Mar 2024
SURE: SUrvey REcipes for building reliable and robust deep networks
SURE: SUrvey REcipes for building reliable and robust deep networks
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Yingyi Chen
Xuanlong Yu
Dexiong Chen
Xi Shen
UQCVOOD
264
11
0
01 Mar 2024
LoMOE: Localized Multi-Object Editing via Multi-Diffusion
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Goirik Chakrabarty
Aditya Chandrasekar
Ramya Hebbalaguppe
AP Prathosh
DiffM
158
8
0
01 Mar 2024
Ask Your Distribution Shift if Pre-Training is Right for You
Ask Your Distribution Shift if Pre-Training is Right for You
Benjamin Cohen-Wang
Joshua Vendrow
Aleksander Madry
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318
5
0
29 Feb 2024
Pre-training Differentially Private Models with Limited Public Data
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Zhiqi Bu
Xinwei Zhang
Mingyi Hong
Sheng Zha
George Karypis
297
6
0
28 Feb 2024
On the Challenges and Opportunities in Generative AI
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Kushagra Pandey
Kushagra Pandey
Robert Bamler
Sina Daubener
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Yixin Wang
F. Wenzel
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Vincent Fortuin
756
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0
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Confidence-Aware Multi-Field Model Calibration
Confidence-Aware Multi-Field Model Calibration
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Chuhan Wu
Qinglin Jia
Hong Zhu
Jia Yan
Libin Zong
Linxuan Zhang
Zhenhua Dong
Muyu Zhang
342
3
0
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Advancing sleep detection by modelling weak label sets: A novel weakly
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148
0
0
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Predict the Next Word: Humans exhibit uncertainty in this task and
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Predict the Next Word: Humans exhibit uncertainty in this task and language models _____
Evgenia Ilia
Wilker Aziz
246
3
0
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Measuring Vision-Language STEM Skills of Neural Models
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Srbuhi Mirzoyan
Ming Zhang
Chenguang Wang
VLM
422
13
0
27 Feb 2024
Fact-and-Reflection (FaR) Improves Confidence Calibration of Large
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Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models
Xinran Zhao
Hongming Zhang
Xiaoman Pan
Wenlin Yao
Dong Yu
Tongshuang Wu
Jianshu Chen
HILMLRM
116
20
0
27 Feb 2024
Towards Explainability and Fairness in Swiss Judgement Prediction:
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Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset
Santosh T.Y.S.S
Nina Baumgartner
Matthias Sturmer
Matthias Grabmair
Joel Niklaus
ELMAILaw
227
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0
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Placing Objects in Context via Inpainting for Out-of-distribution
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Placing Objects in Context via Inpainting for Out-of-distribution Segmentation
Pau de Jorge
Riccardo Volpi
P. Dokania
Juil Sock
Grégory Rogez
DiffM
368
9
0
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Doubly Calibrated Estimator for Recommendation on Data Missing Not At
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Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random
Wonbin Kweon
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178
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Watch Your Head: Assembling Projection Heads to Save the Reliability of
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Jihua Zhu
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Zhongyu Li
Zhiqiang Tian
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219
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0
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Interpreting Predictive Probabilities: Model Confidence or Human Label
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Interpreting Predictive Probabilities: Model Confidence or Human Label Variation?
Joris Baan
Raquel Fernández
Barbara Plank
Wilker Aziz
316
16
0
25 Feb 2024
$C^3$: Confidence Calibration Model Cascade for Inference-Efficient
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C3C^3C3: Confidence Calibration Model Cascade for Inference-Efficient Cross-Lingual Natural Language Understanding
Taixi Lu
Haoyu Wang
Huajie Shao
Jing Gao
Huaxiu Yao
167
0
0
25 Feb 2024
Sequential Visual and Semantic Consistency for Semi-supervised Text
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Sequential Visual and Semantic Consistency for Semi-supervised Text Recognition
Mingkun Yang
Biao Yang
Minghui Liao
Yingying Zhu
Xiang Bai
291
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Fine-Grained Self-Endorsement Improves Factuality and Reasoning
Fine-Grained Self-Endorsement Improves Factuality and Reasoning
Ante Wang
Linfeng Song
Baolin Peng
Ye Tian
Lifeng Jin
Haitao Mi
Jinsong Su
Dong Yu
HILMLRM
148
9
0
23 Feb 2024
Selective "Selective Prediction": Reducing Unnecessary Abstention in
  Vision-Language Reasoning
Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning
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Jack Hessel
Tanmay Gupta
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Yejin Choi
Jesse Thomason
Khyathi Chandu
307
14
0
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Closing the AI generalization gap by adjusting for dermatology condition
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Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings
R. Rikhye
Aaron Loh
G. Hong
Preeti Singh
M. A. Smith
...
P. Bui
Yuan Liu
Yao Xiao
Justin M. Ko
Steven Lin
124
1
0
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Outlier detection by ensembling uncertainty with negative objectness
Outlier detection by ensembling uncertainty with negative objectness
Anja Delić
Matej Grcić
Sinisa Segvic
UQCV
332
27
0
23 Feb 2024
Calibration of Deep Learning Classification Models in fNIRS
Calibration of Deep Learning Classification Models in fNIRS
Zhihao Cao
Zizhou Luo
163
3
0
23 Feb 2024
Consistency-Guided Temperature Scaling Using Style and Content
  Information for Out-of-Domain Calibration
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
291
2
0
22 Feb 2024
Uncertainty-Aware Evaluation for Vision-Language Models
Uncertainty-Aware Evaluation for Vision-Language Models
Vasily Kostumov
Bulat Nutfullin
Oleg Pilipenko
Eugene Ilyushin
ELM
436
16
0
22 Feb 2024
A hierarchical decomposition for explaining ML performance discrepancies
A hierarchical decomposition for explaining ML performance discrepancies
Jean Feng
Harvineet Singh
Fan Xia
Adarsh Subbaswamy
Alexej Gossmann
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225
4
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Calibrating Large Language Models with Sample Consistency
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Qing Lyu
Kumar Shridhar
Chaitanya Malaviya
Li Zhang
Yanai Elazar
Niket Tandon
Marianna Apidianaki
Mrinmaya Sachan
Chris Callison-Burch
253
47
0
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Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex
Yasushi Esaki
Akihiro Nakamura
Keisuke Kawano
Ryoko Tokuhisa
Takuro Kutsuna
357
3
0
21 Feb 2024
Testing Calibration in Nearly-Linear Time
Testing Calibration in Nearly-Linear Time
Lunjia Hu
A. Jambulapati
Kevin Tian
Chutong Yang
201
6
0
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Handling Ambiguity in Emotion: From Out-of-Domain Detection to
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Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation
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Yue Liu
Chuxu Zhang
Chung-Cheng Chiu
Qiujia Li
Junwen Bai
Tara N. Sainath
P. Woodland
189
4
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20 Feb 2024
Thermometer: Towards Universal Calibration for Large Language Models
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Maohao Shen
Subhro Das
Kristjan Greenewald
P. Sattigeri
Greg Wornell
Soumya Ghosh
298
23
0
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Discriminant Distance-Aware Representation on Deterministic Uncertainty
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Kamalika Das
Kumar Sricharan
UQCV
173
2
0
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DiffusionNOCS: Managing Symmetry and Uncertainty in Sim2Real Multi-Modal
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Takuya Ikeda
Sergey Zakharov
Tianyi Ko
Muhammad Zubair Irshad
Robert Lee
Katherine Liu
Rares Andrei Ambrus
Koichi Nishiwaki
DiffM
194
24
0
20 Feb 2024
Multi-View Conformal Learning for Heterogeneous Sensor Fusion
Multi-View Conformal Learning for Heterogeneous Sensor Fusion
Enrique Garcia-Ceja
176
1
0
19 Feb 2024
Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When
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Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs
Jiejun Tan
Zhicheng Dou
Yutao Zhu
Peidong Guo
Kun Fang
Ji-Rong Wen
366
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0
19 Feb 2024
MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in
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MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs
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D. Yaldiz
Baturalp Buyukates
Chenyang Tao
Dimitrios Dimitriadis
A. Avestimehr
271
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When Do LLMs Need Retrieval Augmentation? Mitigating LLMs'
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When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation
Shiyu Ni
Keping Bi
Jiafeng Guo
Xueqi Cheng
RALM
258
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0
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In-Context Example Ordering Guided by Label Distributions
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Zhichao Xu
Daniel Cohen
Bei Wang
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239
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Don't Go To Extremes: Revealing the Excessive Sensitivity and
  Calibration Limitations of LLMs in Implicit Hate Speech Detection
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Min Zhang
Jianfeng He
Taoran Ji
Chang-Tien Lu
165
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Multi-Perspective Consistency Enhances Confidence Estimation in Large
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Multi-Perspective Consistency Enhances Confidence Estimation in Large Language Models
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Weiran Xu
329
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Efficient Multi-task Uncertainties for Joint Semantic Segmentation and
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233
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