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Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and
  Communicating the Uncertainty of AI
v1v2 (latest)

Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI

2 June 2021
S. Ghosh
Q. V. Liao
Karthikeyan N. Ramamurthy
Jirí Navrátil
P. Sattigeri
Kush R. Varshney
Yunfeng Zhang
ArXiv (abs)PDFHTMLGithub (266★)

Papers citing "Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI"

23 / 23 papers shown
Bridging Ethical Principles and Algorithmic Methods: An Alternative Approach for Assessing Trustworthiness in AI Systems
Bridging Ethical Principles and Algorithmic Methods: An Alternative Approach for Assessing Trustworthiness in AI Systems
Michael Papademas
Xenia Ziouvelou
Antonis Troumpoukis
Vangelis Karkaletsis
359
0
0
28 Jun 2025
Neurosymbolic Artificial Intelligence for Robust Network Intrusion Detection: From Scratch to Transfer Learning
Neurosymbolic Artificial Intelligence for Robust Network Intrusion Detection: From Scratch to Transfer Learning
Huynh T. T. Tran
Jacob Sander
Achraf Cohen
Brian Jalaian
Nathaniel D. Bastian
AAML
241
2
0
04 Jun 2025
Quantifying Privacy Leakage in Split Inference via Fisher-Approximated Shannon Information Analysis
Quantifying Privacy Leakage in Split Inference via Fisher-Approximated Shannon Information Analysis
Ruijun Deng
Zhihui Lu
Qiang Duan
Shijing Hu
FedML
467
2
0
14 Apr 2025
As Confidence Aligns: Exploring the Effect of AI Confidence on Human Self-confidence in Human-AI Decision Making
As Confidence Aligns: Exploring the Effect of AI Confidence on Human Self-confidence in Human-AI Decision Making
Jingshu Li
Yitian Yang
Q. Vera Liao
Junti Zhang
Yi-Chieh Lee
341
4
0
22 Jan 2025
Towards Human-centered Design of Explainable Artificial Intelligence
  (XAI): A Survey of Empirical Studies
Towards Human-centered Design of Explainable Artificial Intelligence (XAI): A Survey of Empirical Studies
Shuai Ma
358
7
0
28 Oct 2024
A Decision-driven Methodology for Designing Uncertainty-aware AI
  Self-Assessment
A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment
Charles Oredola
Vladimir Leung
Adnan Ashraf
Eric Heim
I-Jeng Wang
413
2
0
02 Aug 2024
Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making
Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making
Shuai Ma
Qiaoyi Chen
Xinru Wang
Chengbo Zheng
Zhenhui Peng
Ming Yin
Xiaojuan Ma
ELM
464
87
0
25 Mar 2024
Understanding the Effects of Miscalibrated AI Confidence on User Trust, Reliance, and Decision Efficacy
Understanding the Effects of Miscalibrated AI Confidence on User Trust, Reliance, and Decision Efficacy
Jingshu Li
Yitian Yang
Renwen Zhang
Q. Vera Liao
Tianqi Song
Zhengtao Xu
Yi-Chieh Lee
563
2
0
12 Feb 2024
Function Composition in Trustworthy Machine Learning: Implementation
  Choices, Insights, and Questions
Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions
Manish Nagireddy
Moninder Singh
Samuel C. Hoffman
Evaline Ju
Karthikeyan N. Ramamurthy
Kush R. Varshney
350
2
0
17 Feb 2023
Fortuna: A Library for Uncertainty Quantification in Deep Learning
Fortuna: A Library for Uncertainty Quantification in Deep LearningJournal of machine learning research (JMLR), 2023
Gianluca Detommaso
Alberto Gasparin
Michele Donini
Matthias Seeger
A. Wilson
Cédric Archambeau
UQCVBDL
394
20
0
08 Feb 2023
Measuring the Confidence of Traffic Forecasting Models: Techniques,
  Experimental Comparison and Guidelines towards Their Actionability
Measuring the Confidence of Traffic Forecasting Models: Techniques, Experimental Comparison and Guidelines towards Their Actionability
I. Laña
Ignacio
I. Olabarrieta
Javier Del Ser
205
1
0
28 Oct 2022
Deep Surrogate of Modular Multi Pump using Active Learning
Deep Surrogate of Modular Multi Pump using Active Learning
Malathi Murugesan
Kanika Goyal
Laure Barriere
Maura Pasquotti
Giacomo Veneri
Giovanni De Magistris
235
1
0
04 Aug 2022
JAWS: Auditing Predictive Uncertainty Under Covariate Shift
JAWS: Auditing Predictive Uncertainty Under Covariate ShiftNeural Information Processing Systems (NeurIPS), 2022
Drew Prinster
Anqi Liu
Suchi Saria
446
17
0
21 Jul 2022
What is Flagged in Uncertainty Quantification? Latent Density Models for
  Uncertainty Categorization
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty CategorizationNeural Information Processing Systems (NeurIPS), 2022
Hao Sun
B. V. Breugel
Jonathan Crabbé
Nabeel Seedat
M. Schaar
286
5
0
11 Jul 2022
Connecting Algorithmic Research and Usage Contexts: A Perspective of
  Contextualized Evaluation for Explainable AI
Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AIAAAI Conference on Human Computation & Crowdsourcing (HCOMP), 2022
Q. V. Liao
Yunfeng Zhang
Ronny Luss
Finale Doshi-Velez
Amit Dhurandhar
363
95
0
22 Jun 2022
Explainable Global Error Weighted on Feature Importance: The xGEWFI
  metric to evaluate the error of data imputation and data augmentation
Explainable Global Error Weighted on Feature Importance: The xGEWFI metric to evaluate the error of data imputation and data augmentation
J. Dessureault
Daniel Massicotte
259
5
0
17 Jun 2022
Exploring How Machine Learning Practitioners (Try To) Use Fairness
  Toolkits
Exploring How Machine Learning Practitioners (Try To) Use Fairness ToolkitsConference on Fairness, Accountability and Transparency (FAccT), 2022
Wesley Hanwen Deng
Manish Nagireddy
M. S. Lee
Jatinder Singh
Zhiwei Steven Wu
Kenneth Holstein
Haiyi Zhu
240
124
0
13 May 2022
A Survey on Uncertainty Toolkits for Deep Learning
A Survey on Uncertainty Toolkits for Deep Learning
Maximilian Pintz
Joachim Sicking
Maximilian Poretschkin
Maram Akila
ELM
360
7
0
02 May 2022
Tailored Uncertainty Estimation for Deep Learning Systems
Tailored Uncertainty Estimation for Deep Learning Systems
Joachim Sicking
Maram Akila
Jan David Schneider
Fabian Hüger
Peter Schlicht
Tim Wirtz
Stefan Wrobel
UQCV
193
2
0
29 Apr 2022
Investigating Explainability of Generative AI for Code through
  Scenario-based Design
Investigating Explainability of Generative AI for Code through Scenario-based DesignInternational Conference on Intelligent User Interfaces (IUI), 2022
Jiao Sun
Q. V. Liao
Michael J. Muller
Mayank Agarwal
Stephanie Houde
Kartik Talamadupula
Justin D. Weisz
244
226
0
10 Feb 2022
Towards a Science of Human-AI Decision Making: A Survey of Empirical
  Studies
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies
Vivian Lai
Chacha Chen
Q. V. Liao
Alison Smith-Renner
Chenhao Tan
357
229
0
21 Dec 2021
Human-Centered Explainable AI (XAI): From Algorithms to User Experiences
Human-Centered Explainable AI (XAI): From Algorithms to User Experiences
Q. V. Liao
R. Varshney
698
320
0
20 Oct 2021
TyXe: Pyro-based Bayesian neural nets for Pytorch
TyXe: Pyro-based Bayesian neural nets for Pytorch
H. Ritter
Theofanis Karaletsos
OODMUBDL
250
7
0
01 Oct 2021
1
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