Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
All Papers
0 / 0 papers shown
Home
Papers
1706.04599
Cited By
v1
v2 (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
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"On Calibration of Modern Neural Networks"
50 / 3,760 papers shown
Mitigating Transformer Overconfidence via Lipschitz Regularization
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Wenqian Ye
Yunsheng Ma
Xu Cao
Kun Tang
176
18
0
12 Jun 2023
Well-Calibrated Probabilistic Predictive Maintenance using Venn-Abers
Ulf Johansson
Tuwe Löfström
Cecilia Sönströd
AI4CE
35
3
0
11 Jun 2023
Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing
Neural Information Processing Systems (NeurIPS), 2023
Ziyan Wang
Hao Wang
UQCV
611
0
0
11 Jun 2023
Probabilistic Multi-Dimensional Classification
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Vu-Linh Nguyen
Yang Yang
Cassio de Campos
267
3
0
10 Jun 2023
Explaining Predictive Uncertainty with Information Theoretic Shapley Values
Neural Information Processing Systems (NeurIPS), 2023
David S. Watson
Joshua O'Hara
Niek Tax
Richard Mudd
Ido Guy
TDI
FAtt
258
37
0
09 Jun 2023
Stratification of uncertainties recalibrated by isotonic regression and its impact on calibration error statistics
P. Pernot
152
5
0
08 Jun 2023
Beyond Probability Partitions: Calibrating Neural Networks with Semantic Aware Grouping
Neural Information Processing Systems (NeurIPS), 2023
Jia-Qi Yang
De-Chuan Zhan
Le Gan
UQCV
272
5
0
08 Jun 2023
Conservative Prediction via Data-Driven Confidence Minimization
Caroline Choi
Fahim Tajwar
Yoonho Lee
Huaxiu Yao
Ananya Kumar
Chelsea Finn
157
7
0
08 Jun 2023
Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning
International Conference on Machine Learning (ICML), 2023
Jaehyung Kim
Jinwoo Shin
Luan Tuyen Chau
204
2
0
08 Jun 2023
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models
AAAI Conference on Artificial Intelligence (AAAI), 2023
Maitreya Patel
Tejas Gokhale
Chitta Baral
Yezhou Yang
CoGe
258
16
0
07 Jun 2023
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration
European Conference on Computer Vision (ECCV), 2023
Emanuel Sanchez Aimar
Hannah Helgesen
Yonghao Xu
Marco Kuhlmann
Michael Felsberg
331
3
0
07 Jun 2023
Proximity-Informed Calibration for Deep Neural Networks
Neural Information Processing Systems (NeurIPS), 2023
Miao Xiong
Ailin Deng
Pang Wei Koh
Jiaying Wu
Shen Li
Jianqing Xu
Bryan Hooi
UQCV
345
20
0
07 Jun 2023
When to Read Documents or QA History: On Unified and Selective Open-domain QA
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Kyungjae Lee
Sanghyun Han
Seung-won Hwang
Moontae Lee
RALM
176
4
0
07 Jun 2023
CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Jiazheng Li
ZHAOYUE SUN
Bin Liang
Lin Gui
Yulan He
212
2
0
06 Jun 2023
Of Mice and Mates: Automated Classification and Modelling of Mouse Behaviour in Groups using a Single Model across Cages
International Journal of Computer Vision (IJCV), 2023
Michael P. J. Camilleri
R. Bains
Christopher K. I. Williams
152
3
0
05 Jun 2023
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
International Conference on Learning Representations (ICLR), 2023
Zichen Liu
Chris Xing Tian
Haoliang Li
Lei Ma
Shiqi Wang
UQCV
321
24
0
05 Jun 2023
Using Multiple Dermoscopic Photographs of One Lesion Improves Melanoma Classification via Deep Learning: A Prognostic Diagnostic Accuracy Study
Journal of American Academy of Dermatology (JAAD), 2023
A. Hekler
Roman C. Maron
Sarah Haggenmuller
Max Schmitt
Christoph Wies
...
Matthias Goebeler
Bastian Schilling
Jakob N. Kather
E. Krieghoff-Henning
T. Brinker
120
5
0
05 Jun 2023
A Large-Scale Study of Probabilistic Calibration in Neural Network Regression
International Conference on Machine Learning (ICML), 2023
Victor Dheur
Souhaib Ben Taieb
BDL
431
23
0
05 Jun 2023
Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity
Neural Information Processing Systems (NeurIPS), 2023
Metod Jazbec
J. Allingham
Dan Zhang
Eric T. Nalisnick
206
15
0
05 Jun 2023
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications
Mengting Hu
Zhen Zhang
Shiwan Zhao
Shiyu Huang
Bingzhe Wu
BDL
262
52
0
05 Jun 2023
Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset
North American Chapter of the Association for Computational Linguistics (NAACL), 2023
Fengzhu Zeng
Wei Gao
135
15
0
05 Jun 2023
Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Daniel Rotem
Michael Hassid
Jonathan Mamou
Roy Schwartz
189
6
0
04 Jun 2023
Provable Dynamic Fusion for Low-Quality Multimodal Data
International Conference on Machine Learning (ICML), 2023
Qingyang Zhang
Haitao Wu
Changqing Zhang
Qinghua Hu
Huazhu Fu
Qiufeng Wang
Xi Peng
317
103
0
03 Jun 2023
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap
Q. V. Liao
J. Vaughan
307
220
0
02 Jun 2023
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection
International Conference on Learning Representations (ICLR), 2023
Eduardo Dadalto Camara Gomes
Marco Romanelli
Georg Pichler
Pablo Piantanida
UQCV
271
8
0
02 Jun 2023
Calibrating Multimodal Learning
International Conference on Machine Learning (ICML), 2023
Huanrong Zhang
Changqing Zhang
Bing Wu
Huazhu Fu
Qiufeng Wang
Q. Hu
223
34
0
02 Jun 2023
A General Framework for Uncertainty Quantification via Neural SDE-RNN
Shweta Dahale
Sai Munikoti
Balasubramaniam Natarajan
AI4TS
UQCV
BDL
128
3
0
01 Jun 2023
Quantifying Deep Learning Model Uncertainty in Conformal Prediction
Hamed Karimi
Reza Samavi
UQCV
140
18
0
01 Jun 2023
On the Limitations of Temperature Scaling for Distributions with Overlaps
International Conference on Learning Representations (ICLR), 2023
Muthuraman Chidambaram
Rong Ge
UQCV
318
7
0
01 Jun 2023
UNGOML: Automated Classification of unsafe Usages in Go
IEEE Working Conference on Mining Software Repositories (MSR), 2023
A. Wickert
C. Damke
Lars Baumgärtner
Eyke Hüllermeier
Mira Mezini
176
1
0
01 Jun 2023
Evaluation of Multi-indicator And Multi-organ Medical Image Segmentation Models
Qi Ye
Li Guo
111
0
0
01 Jun 2023
Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Mengting Hu
Yinhao Bai
Yike Wu
Zhen Zhang
Liqi Zhang
H. Gao
Shiwan Zhao
Min-Tzu Huang
345
21
0
01 Jun 2023
Calibrated and Conformal Propensity Scores for Causal Effect Estimation
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Shachi Deshpande
Volodymyr Kuleshov
CML
326
1
0
01 Jun 2023
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy
Neural Information Processing Systems (NeurIPS), 2023
Elan Rosenfeld
Saurabh Garg
UQCV
170
12
0
01 Jun 2023
Human-Aligned Calibration for AI-Assisted Decision Making
Neural Information Processing Systems (NeurIPS), 2023
N. C. Benz
Manuel Gomez Rodriguez
405
30
0
31 May 2023
Probabilistic Uncertainty Quantification of Prediction Models with Application to Visual Localization
IEEE International Conference on Robotics and Automation (ICRA), 2023
Junan Chen
Josephine Monica
Wei-Lun Chao
Mark E. Campbell
143
7
0
31 May 2023
Causal Intervention for Measuring Confidence in Drug-Target Interaction Prediction
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023
Wenting Ye
Chen Li
Yang Xie
Wen Zhang
Hong-Yu Zhang
Bowen Wang
Debo Cheng
Zaiwen Feng
279
0
0
31 May 2023
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms
Neural Information Processing Systems (NeurIPS), 2023
Dheeraj Baby
Saurabh Garg
Tzu-Ching Yen
Sivaraman Balakrishnan
Zachary Chase Lipton
Yu Wang
205
15
0
31 May 2023
Graph Entropy Minimization for Semi-supervised Node Classification
Yi Luo
Guangchun Luo
Ke Qin
Aiguo Chen
153
1
0
31 May 2023
Perception and Semantic Aware Regularization for Sequential Confidence Calibration
Computer Vision and Pattern Recognition (CVPR), 2023
Zhenghua Peng
Yuanmao Luo
Tianshui Chen
Keke Xu
Shuangping Huang
AI4TS
285
3
0
31 May 2023
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling
Knowledge Discovery and Data Mining (KDD), 2023
Yuchen Zhuang
Yue Yu
Lingkai Kong
Xiang Chen
Chao Zhang
NoLa
SyDa
AI4CE
274
19
0
30 May 2023
Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models
International Conference on Learning Representations (ICLR), 2023
Guande He
Jianfei Chen
Jun Zhu
268
27
0
30 May 2023
ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models
International Conference on Machine Learning (ICML), 2023
Qinglong Tian
Xin Zhang
Jiwei Zhao
VLM
168
11
0
30 May 2023
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks
International Conference on Machine Learning (ICML), 2023
Yuwen Li
Miao Xiong
Bryan Hooi
240
10
0
30 May 2023
When Does Optimizing a Proper Loss Yield Calibration?
Neural Information Processing Systems (NeurIPS), 2023
Jarosław Błasiok
Parikshit Gopalan
Lunjia Hu
Preetum Nakkiran
233
37
0
30 May 2023
Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced Driver-Assistance System
IEEE Internet of Things Journal (IEEE IoT J.), 2023
Jiwei Guan
Lei Pan
Chen Wang
Shui Yu
Longxiang Gao
Xi Zheng
AAML
188
6
0
30 May 2023
Parity Calibration
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Youngseog Chung
Aaron M. Rumack
Chirag Gupta
223
2
0
29 May 2023
Beyond Confidence: Reliable Models Should Also Consider Atypicality
Neural Information Processing Systems (NeurIPS), 2023
Mert Yuksekgonul
Linjun Zhang
James Zou
Carlos Guestrin
241
27
0
29 May 2023
Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models
International Conference on Learning Representations (ICLR), 2023
Shuai Zhao
Xiaohan Wang
Linchao Zhu
Yezhou Yang
VLM
313
39
0
29 May 2023
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Zhen Zhang
Mengting Hu
Shiwan Zhao
Shiyu Huang
Mengting Hu
Lemao Liu
Zhirui Zhang
Yanfeng Guo
Bingzhe Wu
EDL
238
15
0
29 May 2023
Previous
1
2
3
...
33
34
35
...
74
75
76
Next