Evaluating Saliency Map Explanations for Convolutional Neural Networks: A User Study

3 February 2020

Papers citing "Evaluating Saliency Map Explanations for Convolutional Neural Networks: A User Study"

37 / 87 papers shown

Title
Towards a multi-stakeholder value-based assessment framework for algorithmic systems Mireia Yurrita Dave Murray-Rust Agathe Balayn A. Bozzon MLAU 21 29 0 09 May 2022
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset Leon Sixt M. Schuessler Oana-Iuliana Popescu Philipp Weiß Tim Landgraf FAtt 24 14 0 25 Apr 2022
Perception Visualization: Seeing Through the Eyes of a DNN Loris Giulivi Mark J. Carman Giacomo Boracchi 8 6 0 21 Apr 2022
Explainable Predictive Process Monitoring: A User Evaluation Williams Rizzi M. Comuzzi Chiara Di Francescomarino Chiara Ghidini Suhwan Lee F. Maggi Alexander Nolte FaML XAI 8 8 0 15 Feb 2022
Machine Explanations and Human Understanding Chacha Chen Shi Feng Amit Sharma Chenhao Tan 19 24 0 08 Feb 2022
Algorithmic nudge to make better choices: Evaluating effectiveness of XAI frameworks to reveal biases in algorithmic decision making to users Prerna Juneja Tanushree Mitra CML 19 0 0 05 Feb 2022
Metrics for saliency map evaluation of deep learning explanation methods T. Gomez Thomas Fréour Harold Mouchère XAI FAtt 64 41 0 31 Jan 2022
Debiased-CAM to mitigate systematic error with faithful visual explanations of machine learning Wencan Zhang Mariella Dimiccoli Brian Y. Lim FAtt 17 1 0 30 Jan 2022
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 18 186 0 21 Dec 2021
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI Upol Ehsan Mark O. Riedl XAI SILM 51 57 0 26 Sep 2021
Enhancing Model Assessment in Vision-based Interactive Machine Teaching through Real-time Saliency Map Visualization Zhongyi Zhou Koji Yatani FAtt 11 3 0 26 Aug 2021
Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability Roman Levin Manli Shu Eitan Borgnia Furong Huang Micah Goldblum Tom Goldstein FAtt AAML 14 10 0 03 Aug 2021
Temporal Dependencies in Feature Importance for Time Series Predictions Kin Kwan Leung Clayton Rooke Jonathan Smith S. Zuberi M. Volkovs OOD AI4TS 18 23 0 29 Jul 2021
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations Upol Ehsan Samir Passi Q. V. Liao Larry Chan I-Hsiang Lee Michael J. Muller Mark O. Riedl 27 85 0 28 Jul 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 19 21 0 20 Jul 2021
Roadmap of Designing Cognitive Metrics for Explainable Artificial Intelligence (XAI) J. H. Hsiao H. Ngai Luyu Qiu Yi Yang Caleb Chen Cao XAI 28 27 0 20 Jul 2021
Challenges for machine learning in clinical translation of big data imaging studies Nicola K. Dinsdale Emma Bluemke V. Sundaresan M. Jenkinson Stephen Smith Ana I. L. Namburete AI4CE 32 41 0 07 Jul 2021
Evaluation of Saliency-based Explainability Method Sam Zabdiel Sunder Samuel V. Kamakshi Namrata Lodhi N. C. Krishnan FAtt XAI 21 12 0 24 Jun 2021
Meaningfully Debugging Model Mistakes using Conceptual Counterfactual Explanations Abubakar Abid Mert Yuksekgonul James Y. Zou CML 21 64 0 24 Jun 2021
The effectiveness of feature attribution methods and its correlation with automatic evaluation scores Giang Nguyen Daeyoung Kim Anh Totti Nguyen FAtt 8 86 0 31 May 2021
Two4Two: Evaluating Interpretable Machine Learning - A Synthetic Dataset For Controlled Experiments M. Schuessler Philipp Weiß Leon Sixt 24 3 0 06 May 2021
Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning Navid Ghassemi A. Shoeibi Marjane Khodatars Jónathan Heras Alireza Rahimi A. Zare R. B. Pachori Juan M Gorriz MedIm 35 56 0 24 Apr 2021
LEx: A Framework for Operationalising Layers of Machine Learning Explanations Ronal Singh Upol Ehsan M. Cheong Mark O. Riedl Tim Miller 21 3 0 15 Apr 2021
Question-Driven Design Process for Explainable AI User Experiences Q. V. Liao Milena Pribić Jaesik Han Sarah Miller Daby M. Sow 15 52 0 08 Apr 2021
Expanding Explainability: Towards Social Transparency in AI systems Upol Ehsan Q. V. Liao Michael J. Muller Mark O. Riedl Justin D. Weisz 43 390 0 12 Jan 2021
GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial Learning Silvan Mertes Tobias Huber Katharina Weitz Alexander Heimerl Elisabeth André GAN AAML MedIm 26 69 0 22 Dec 2020
Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning Wencan Zhang Mariella Dimiccoli Brian Y. Lim FAtt 13 18 0 10 Dec 2020
Representaciones del aprendizaje reutilizando los gradientes de la retropropagacion Roberto Reyes-Ochoa Servando Lopez-Aguayo FAtt 10 0 0 06 Dec 2020
Debugging Tests for Model Explanations Julius Adebayo M. Muelly Ilaria Liccardi Been Kim FAtt 6 177 0 10 Nov 2020
Towards falsifiable interpretability research Matthew L. Leavitt Ari S. Morcos AAML AI4CE 8 67 0 22 Oct 2020
Measure Utility, Gain Trust: Practical Advice for XAI Researcher B. Pierson M. Glenski William I. N. Sealy Dustin L. Arendt 8 28 0 27 Sep 2020
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps Tobias Huber Katharina Weitz Elisabeth André Ofra Amir FAtt 11 63 0 18 May 2020
Explainable Goal-Driven Agents and Robots -- A Comprehensive Review F. Sado C. K. Loo W. S. Liew Matthias Kerzel S. Wermter 11 48 0 21 Apr 2020
How to Support Users in Understanding Intelligent Systems? Structuring the Discussion Malin Eiband Daniel Buschek H. Hussmann 37 28 0 22 Jan 2020
Secure and Robust Machine Learning for Healthcare: A Survey A. Qayyum Junaid Qadir Muhammad Bilal Ala I. Al-Fuqaha AAML OOD 31 374 0 21 Jan 2020
When Explanations Lie: Why Many Modified BP Attributions Fail Leon Sixt Maximilian Granz Tim Landgraf BDL FAtt XAI 11 132 0 20 Dec 2019
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,681 0 28 Feb 2017