On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products

5 October 2016

Papers citing "On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products"

50 / 75 papers shown

Title
The Evolution of Alpha in Finance Harnessing Human Insight and LLM Agents Mohammad Rubyet Islam AIFin 7 0 0 20 May 2025
Partial-Label Learning with a Reject Option Tobias Fuchs Florian Kalinke Klemens Bohm 52 0 0 08 Jan 2025
SMOSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks Mátyás Vincze Laura Ferrarotti Leonardo Lucio Custode Bruno Lepri Giovanni Iacca MoE OffRL 81 1 0 17 Dec 2024
Safety Monitoring of Machine Learning Perception Functions: a Survey Raul Sena Ferreira Joris Guérin Kevin Delmas Jérémie Guiochet H. Waeselynck 82 0 0 09 Dec 2024
EXAGREE: Towards Explanation Agreement in Explainable Machine Learning Sichao Li Quanling Deng Amanda S. Barnard 47 0 0 04 Nov 2024
Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown Xingzhou Lou Dong Yan Wei Shen Yuzi Yan Jian Xie Junge Zhang 55 22 0 01 Oct 2024
UTrack: Multi-Object Tracking with Uncertain Detections Edgardo Solano-Carrillo Felix Sattler Antje Alex Alexander Klein Bruno Pereira Costa Ángel Bueno Rodríguez Jannis Stoppe VOT 44 1 0 30 Aug 2024
DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification S. Saifullah S. Agne Andreas Dengel Sheraz Ahmed 47 0 0 04 Jul 2024
Label-wise Aleatoric and Epistemic Uncertainty Quantification Yusuf Sale Paul Hofman Timo Löhr Lisa Wimmer Thomas Nagler Eyke Hüllermeier PER UD UQCV 53 7 0 04 Jun 2024
Explaining Kernel Clustering via Decision Trees Maximilian Fleissner L. C. Vankadara D. Ghoshdastidar FAtt 51 4 0 15 Feb 2024
Second-Order Uncertainty Quantification: Variance-Based Measures Yusuf Sale Paul Hofman Lisa Wimmer Eyke Hüllermeier Thomas Nagler PER UQCV UD 42 8 0 30 Dec 2023
Second-Order Uncertainty Quantification: A Distance-Based Approach Yusuf Sale Viktor Bengs Michele Caprio Eyke Hüllermeier PER UQCV UD 32 19 0 02 Dec 2023
Designing Fiduciary Artificial Intelligence Sebastian Benthall David Shekman 51 4 0 27 Jul 2023
Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models Yuheng Huang Jiayang Song Zhijie Wang Shengming Zhao Huaming Chen Felix Juefei-Xu Lei Ma 33 34 0 16 Jul 2023
An efficient, provably exact, practical algorithm for the 0-1 loss linear classification problem Xi He Waheed Ul Rahman Max A. Little 18 2 0 21 Jun 2023
Is the Volume of a Credal Set a Good Measure for Epistemic Uncertainty? Yusuf Sale Michele Caprio Eyke Hüllermeier UD 37 25 0 16 Jun 2023
Machine Learning with Requirements: a Manifesto Eleonora Giunchiglia F. Imrie M. Schaar Thomas Lukasiewicz AI4TS OffRL VLM 45 5 0 07 Apr 2023
Towards Healthy AI: Large Language Models Need Therapists Too Baihan Lin Djallel Bouneffouf Guillermo Cecchi Kush R. Varshney AI4MH 37 19 0 02 Apr 2023
Multiple Instance Ensembling For Paranasal Anomaly Classification In The Maxillary Sinus Debayan Bhattacharya F. Behrendt B. Becker Dirk Beyersdorff E. Petersen ... B. Cheng D. Eggert C. Betz A. Hoffmann Alexander Schlaefer 18 5 0 31 Mar 2023
Likelihood Annealing: Fast Calibrated Uncertainty for Regression Uddeshya Upadhyay Jae Myung Kim Cordelia Schmidt Bernhard Schölkopf Zeynep Akata BDL UQCV 31 1 0 21 Feb 2023
Dynamic Simplex: Balancing Safety and Performance in Autonomous Cyber Physical Systems Baiting Luo Shreyas Ramakrishna Ava Pettet Christopher B. Kuhn G. Karsai Ayan Mukhopadhyay 30 5 0 20 Feb 2023
Explaining with Greater Support: Weighted Column Sampling Optimization for q-Consistent Summary-Explanations Chen Peng Zhengqi Dai Guangping Xia Yajie Niu Yihui Lei 23 0 0 09 Feb 2023
Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation Miao Xiong Shen Li Wenjie Feng Ailin Deng Jihai Zhang Bryan Hooi 19 7 0 29 Nov 2022
Extending the Neural Additive Model for Survival Analysis with EHR Data M. Peroni Marharyta Kurban Sun-Young Yang Young Sun Kim H. Kang J. Song 17 6 0 15 Nov 2022
Uncertainty-aware predictive modeling for fair data-driven decisions Patrick Kaiser Christoph Kern David Rügamer FaML 32 5 0 04 Nov 2022
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach Dennis L. Wei Rahul Nair Amit Dhurandhar Kush R. Varshney Elizabeth M. Daly Moninder Singh FAtt 38 9 0 02 Nov 2022
An out-of-distribution discriminator based on Bayesian neural network epistemic uncertainty Ethan Ancell Christopher Bennett B. Debusschere S. Agarwal Park Hays T. Xiao BDL UQCV UD PER 11 1 0 18 Oct 2022
Robust Models are less Over-Confident Julia Grabinski Paul Gavrikov J. Keuper Margret Keuper AAML 38 24 0 12 Oct 2022
Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors Beepul Bharti Paul H. Yi Jeremias Sulam 29 4 0 25 Jul 2022
Uncertainty in Contrastive Learning: On the Predictability of Downstream Performance Shervin Ardeshir Navid Azizan SSL UQCV 42 9 0 19 Jul 2022
Explainable Deep Belief Network based Auto encoder using novel Extended Garson Algorithm Satyam Kumar V. Ravi AI4CE 34 1 0 18 Jul 2022
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation Viktor Bengs Eyke Hüllermeier Willem Waegeman EDL UQCV UD 28 36 0 11 Mar 2022
Evaluating Object (mis)Detection from a Safety and Reliability Perspective: Discussion and Measures Andrea Ceccarelli Leonardo Montecchi 27 10 0 04 Mar 2022
ARM-Net: Adaptive Relation Modeling Network for Structured Data Shaofeng Cai Kaiping Zheng Gang Chen H. V. Jagadish Beng Chin Ooi Meihui Zhang 40 50 0 05 Jul 2021
Embedded out-of-distribution detection on an autonomous robot platform Michael Yuhas Yeli Feng Daniel Jun Xian Ng Zahra Rahiminasab Arvind Easwaran 27 13 0 30 Jun 2021
Explainable AI for medical imaging: Explaining pneumothorax diagnoses with Bayesian Teaching Tomas Folke Scott Cheng-Hsin Yang S. Anderson Patrick Shafto 21 19 0 08 Jun 2021
Can a single neuron learn predictive uncertainty? Edgardo Solano-Carrillo UQCV 31 1 0 07 Jun 2021
Know Your Model (KYM): Increasing Trust in AI and Machine Learning Mary Roszel Robert Norvill Jean Hilger R. State 30 4 0 31 May 2021
Software Engineering for AI-Based Systems: A Survey Silverio Martínez-Fernández Justus Bogner Xavier Franch Marc Oriol Julien Siebert Adam Trendowicz Anna Maria Vollmer Stefan Wagner 27 211 0 05 May 2021
Uncertainty-Aware Boosted Ensembling in Multi-Modal Settings U. Sarawgi Rishab Khincha W. Zulfikar Satrajit S. Ghosh Pattie Maes UQCV 25 7 0 21 Apr 2021
Explainability-aided Domain Generalization for Image Classification Robin M. Schmidt FAtt OOD 27 1 0 05 Apr 2021
Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages Sampo Kuutti Richard Bowden Saber Fallah 40 14 0 17 Mar 2021
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges Lu Cheng Kush R. Varshney Huan Liu FaML 33 145 0 01 Jan 2021
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges Kashif Ahmad Majdi Maabreh M. Ghaly Khalil Khan Junaid Qadir Ala I. Al-Fuqaha 32 142 0 14 Dec 2020
Prediction intervals for Deep Neural Networks Tullio Mancini Hector F. Calvo-Pardo Jose Olmo UQCV OOD 28 4 0 08 Oct 2020
Why have a Unified Predictive Uncertainty? Disentangling it using Deep Split Ensembles U. Sarawgi W. Zulfikar Rishab Khincha Pattie Maes PER UQCV BDL UD 21 7 0 25 Sep 2020
Logic Programming and Machine Ethics Abeer Dyoub Stefania Costantini F. Lisi 14 11 0 22 Sep 2020
Actionable Interpretation of Machine Learning Models for Sequential Data: Dementia-related Agitation Use Case Nutta Homdee J. Lach 19 1 0 10 Sep 2020
SOAR: Simultaneous Or of And Rules for Classification of Positive & Negative Classes Elena Khusainova Emily Dodwell Ritwik Mitra 27 2 0 25 Aug 2020
Serverless on FHIR: Deploying machine learning models for healthcare on the cloud B. Eapen K. Sartipi N. Archer 28 4 0 08 Jun 2020