Title
Bi-directional Model Cascading with Proxy Confidence David Warren Mark Dras 44 0 0 27 Apr 2025
Societal Alignment Frameworks Can Improve LLM Alignment Karolina Stañczak Nicholas Meade Mehar Bhatia Hattie Zhou Konstantin Böttinger ... Timothy P. Lillicrap Ana Marasović Sylvie Delacroix Gillian K. Hadfield Siva Reddy 144 0 0 27 Feb 2025
Revisiting Rogers' Paradox in the Context of Human-AI Interaction K. M. Collins Umang Bhatt Ilia Sucholutsky 46 1 0 16 Jan 2025
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle Luca Deck Astrid Schomacker Timo Speith Jakob Schöffer Lena Kästner Niklas Kühl 41 4 0 29 Apr 2024
Overconfident and Unconfident AI Hinder Human-AI Collaboration Jingshu Li Yitian Yang Renwen Zhang Yi-Chieh Lee 27 1 0 12 Feb 2024
Unpacking Human-AI interactions: From interaction primitives to a design space Konstantinos Tsiakas Dave Murray-Rust 24 3 0 10 Jan 2024
Identifying Drivers of Predictive Aleatoric Uncertainty Pascal Iversen Simon Witzke Katharina Baum Bernhard Y. Renard UD 43 1 0 12 Dec 2023
Path To Gain Functional Transparency In Artificial Intelligence With Meaningful Explainability Md. Tanzib Hosain Md. Mehedi Hasan Anik Sadman Rafi̇ Rana Tabassum Khaleque Insi̇a Md. Mehrab Siddiky 21 6 0 13 Oct 2023
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap Q. V. Liao J. Vaughan 36 158 0 02 Jun 2023
Federated Conformal Predictors for Distributed Uncertainty Quantification Charles Lu Yaodong Yu Sai Praneeth Karimireddy Michael I. Jordan Ramesh Raskar FedML 34 21 0 27 May 2023
Optimization's Neglected Normative Commitments Benjamin Laufer T. Gilbert Helen Nissenbaum OffRL 21 4 0 27 May 2023
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial V. Nemani Luca Biggio Xun Huan Zhen Hu Olga Fink Anh Tran Yan Wang Xiaoge Zhang Chao Hu AI4CE 30 75 0 07 May 2023
Learning Personalized Decision Support Policies Umang Bhatt Valerie Chen Katherine M. Collins Parameswaran Kamalaruban Emma Kallina Adrian Weller Ameet Talwalkar OffRL 50 10 0 13 Apr 2023
Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring Nijat Mehdiyev Maxim Majlatow Peter Fettke 27 2 0 12 Apr 2023
Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations Ainhize Barrainkua Paula Gordaliza Jose A. Lozano Novi Quadrianto 21 1 0 02 Feb 2023
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations Valerie Chen Q. V. Liao Jennifer Wortman Vaughan Gagan Bansal 38 104 0 18 Jan 2023
Quantifying Uncertainty with Probabilistic Machine Learning Modeling in Wireless Sensing Amit Kachroo Sai Prashanth Chinnapalli 18 0 0 12 Oct 2022
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis Yuxin Xiao Paul Pu Liang Umang Bhatt W. Neiswanger Ruslan Salakhutdinov Louis-Philippe Morency 175 86 0 10 Oct 2022
Trust Calibration as a Function of the Evolution of Uncertainty in Knowledge Generation: A Survey J. Boley Maoyuan Sun 22 0 0 09 Sep 2022
Eliciting and Learning with Soft Labels from Every Annotator K. M. Collins Umang Bhatt Adrian Weller 11 44 0 02 Jul 2022
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning Javier Antorán David Janz J. Allingham Erik A. Daxberger Riccardo Barbano Eric T. Nalisnick José Miguel Hernández-Lobato UQCV BDL 27 28 0 17 Jun 2022
Simple Regularisation for Uncertainty-Aware Knowledge Distillation Martin Ferianc Miguel R. D. Rodrigues UQCV 37 0 0 19 May 2022
Doubting AI Predictions: Influence-Driven Second Opinion Recommendation Maria De-Arteaga Alexandra Chouldechova Artur Dubrawski 27 4 0 29 Apr 2022
Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI Mahima Pushkarna Andrew Zaldivar Oddur Kjartansson AI4TS 27 197 0 03 Apr 2022
Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection Bang Xiang Yong Alexandra Brintrup UQCV 18 24 0 25 Feb 2022
Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning A. Feder Cooper Emanuel Moss Benjamin Laufer Helen Nissenbaum MLAU 24 85 0 10 Feb 2022
Benchmarking Uncertainty Quantification on Biosignal Classification Tasks under Dataset Shift Tong Xia Jing Han Cecilia Mascolo OOD 13 10 0 16 Dec 2021
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection Chunjong Park Anas Awadalla Tadayoshi Kohno Shwetak N. Patel OOD 25 29 0 26 Oct 2021
Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development Aspen K. Hopkins Serena Booth 29 45 0 06 Oct 2021
Robust Contrastive Active Learning with Feature-guided Query Strategies R. Krishnan Nilesh A. Ahuja Alok Sinha Mahesh Subedar Omesh Tickoo Ravi Iyer 13 1 0 13 Sep 2021
Using AntiPatterns to avoid MLOps Mistakes Nikhil Muralidhar Sathappah Muthiah P. Butler Manish Jain Yu Yu ... Weipeng Li David Jones P. Arunachalam Hays Mccormick Naren Ramakrishnan 9 17 0 30 Jun 2021
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates Lingkai Kong Jimeng Sun Chao Zhang UQCV 47 103 0 24 Aug 2020
Getting a CLUE: A Method for Explaining Uncertainty Estimates Javier Antorán Umang Bhatt T. Adel Adrian Weller José Miguel Hernández-Lobato UQCV BDL 37 111 0 11 Jun 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,203 0 23 Aug 2019
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015