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"

25 / 75 papers shown

Title
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 49 371 0 30 Apr 2020
Machine Learning Algorithms for Financial Asset Price Forecasting Philip Ndikum AIFin 35 16 0 31 Mar 2020
Training Adversarial Agents to Exploit Weaknesses in Deep Control Policies Sampo Kuutti Saber Fallah Richard Bowden AAML 17 49 0 27 Feb 2020
Aleatoric and Epistemic Uncertainty with Random Forests M. Shaker Eyke Hüllermeier BDL UD PER 17 70 0 03 Jan 2020
A Survey of Deep Learning Applications to Autonomous Vehicle Control Sampo Kuutti Richard Bowden Yaochu Jin P. Barber Saber Fallah 36 507 0 23 Dec 2019
Automated Dependence Plots David I. Inouye Liu Leqi Joon Sik Kim Bryon Aragam Pradeep Ravikumar 12 1 0 02 Dec 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 41 6,125 0 22 Oct 2019
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods Eyke Hüllermeier Willem Waegeman PER UD 87 1,359 0 21 Oct 2019
A Survey of Deep Learning Techniques for Autonomous Driving Sorin Grigorescu Bogdan Trasnea Tiberiu T. Cocias G. Macesanu 3DPC 40 1,377 0 17 Oct 2019
Towards Safe Machine Learning for CPS: Infer Uncertainty from Training Data Xiaozhe Gu Arvind Easwaran 19 29 0 11 Sep 2019
Understanding artificial intelligence ethics and safety David Leslie FaML AI4TS 30 345 0 11 Jun 2019
Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI Shane T. Mueller R. Hoffman W. Clancey Abigail Emrey Gary Klein XAI 18 285 0 05 Feb 2019
Bias Mitigation Post-processing for Individual and Group Fairness P. Lohia Karthikeyan N. Ramamurthy M. Bhide Diptikalyan Saha Kush R. Varshney Ruchir Puri FaML 13 155 0 14 Dec 2018
Probabilistic Object Detection: Definition and Evaluation David Hall Feras Dayoub John Skinner Haoyang Zhang Dimity Miller Peter Corke G. Carneiro A. Angelova Niko Sünderhauf UQCV 38 111 0 27 Nov 2018
Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead Cynthia Rudin ELM FaML 22 218 0 26 Nov 2018
Promoting Distributed Trust in Machine Learning and Computational Simulation via a Blockchain Network Nelson Bore R. Raman Isaac M. Markus S. Remy Oliver E. Bent ... E. Pissadaki Biplav Srivastava Roman Vaculin Kush R. Varshney Komminist Weldemariam 13 8 0 25 Oct 2018
FactSheets: Increasing Trust in AI Services through Supplier's Declarations of Conformity Matthew Arnold Rachel K. E. Bellamy Michael Hind Stephanie Houde S. Mehta ... Darrell Reimer Alexandra Olteanu David Piorkowski Jason Tsay Kush R. Varshney HILM 16 138 0 22 Aug 2018
Using Machine Learning Safely in Automotive Software: An Assessment and Adaption of Software Process Requirements in ISO 26262 Rick Salay Krzysztof Czarnecki 25 69 0 05 Aug 2018
Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems Richard J. Tomsett Dave Braines Daniel Harborne Alun D. Preece Supriyo Chakraborty FaML 29 164 0 20 Jun 2018
To Trust Or Not To Trust A Classifier Heinrich Jiang Been Kim Melody Y. Guan Maya R. Gupta UQCV 30 464 0 30 May 2018
Improving Confidence Estimates for Unfamiliar Examples Zhizhong Li Derek Hoiem 33 9 0 09 Apr 2018
How an Electrical Engineer Became an Artificial Intelligence Researcher, a Multiphase Active Contours Analysis Kush R. Varshney AI4CE 11 0 0 29 Mar 2018
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer David Madras T. Pitassi R. Zemel FaML 14 215 0 17 Nov 2017
Detecting Statistical Interactions from Neural Network Weights Michael Tsang Dehua Cheng Yan Liu 25 192 0 14 May 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 257 3,698 0 28 Feb 2017