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A Unified Approach to Interpreting Model Predictions

22 May 2017

Papers citing "A Unified Approach to Interpreting Model Predictions"

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Title
The Consequences of the Framing of Machine Learning Risk Prediction Models: Evaluation of Sepsis in General Wards S. Lauritsen B. Thiesson Marianne Johansson Jørgensen A. Riis U. Espelund J. Weile Jeppe Lange 62 3 0 26 Jan 2021
Better sampling in explanation methods can prevent dieselgate-like deception Domen Vreš Marko Robnik-Šikonja AAML 35 10 0 26 Jan 2021
Model-agnostic interpretation by visualization of feature perturbations Wilson E. Marcílio-Jr D. M. Eler Fabricio A. Breve AAML 36 1 0 26 Jan 2021
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations Sérgio Jesus Catarina Belém Vladimir Balayan João Bento Pedro Saleiro P. Bizarro João Gama 208 121 0 21 Jan 2021
Orthogonal Least Squares Based Fast Feature Selection for Linear Classification Sikai Zhang Z. Lang 71 17 0 21 Jan 2021
GLocalX -- From Local to Global Explanations of Black Box AI Models Mattia Setzu Riccardo Guidotti A. Monreale Franco Turini D. Pedreschi F. Giannotti 107 121 0 19 Jan 2021
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learning Hayden Gunraj A. Sabri D. Koff A. Wong 118 99 0 19 Jan 2021
Fidelity and Privacy of Synthetic Medical Data O. Mendelevitch M. Lesh 93 30 0 18 Jan 2021
Dissonance Between Human and Machine Understanding Zijian Zhang Jaspreet Singh U. Gadiraju Avishek Anand 127 74 0 18 Jan 2021
Interactive slice visualization for exploring machine learning models C. Hurley Mark O'Connell Katarina Domijan FAtt 43 9 0 18 Jan 2021
Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation Fan Yang Ninghao Liu Mengnan Du X. Hu OOD 61 17 0 18 Jan 2021
A Deep Learning Based Ternary Task Classification System Using Gramian Angular Summation Field in fNIRS Neuroimaging Data Sajila D. Wickramaratne Md. Shaad Mahmud 56 18 0 14 Jan 2021
U-Noise: Learnable Noise Masks for Interpretable Image Segmentation Teddy Koker Fatemehsadat Mireshghallah Tom Titcombe Georgios Kaissis 52 22 0 14 Jan 2021
Kernel-based ANOVA decomposition and Shapley effects -- Application to global sensitivity analysis Sébastien Da Veiga FAtt 84 26 0 14 Jan 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges Éloi Zablocki H. Ben-younes P. Pérez Matthieu Cord XAI 186 178 0 13 Jan 2021
Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making Han Liu Vivian Lai Chenhao Tan 173 121 0 13 Jan 2021
Towards Interpretable Ensemble Learning for Image-based Malware Detection Yuzhou Lin Xiaolin Chang AAML 70 8 0 13 Jan 2021
Automated Detection of Patellofemoral Osteoarthritis from Knee Lateral View Radiographs Using Deep Learning: Data from the Multicenter Osteoarthritis Study (MOST) N. Bayramoglu M. Nieminen S. Saarakkala 25 21 0 12 Jan 2021
Explaining the Black-box Smoothly- A Counterfactual Approach Junyu Chen Yong Du Yufan He W. Paul Segars Ye Li MedIm FAtt 152 105 0 11 Jan 2021
Explain and Predict, and then Predict Again Zijian Zhang Koustav Rudra Avishek Anand FAtt 98 51 0 11 Jan 2021
The Shapley Value of Classifiers in Ensemble Games Benedek Rozemberczki Rik Sarkar FAtt FedML TDI 124 33 0 06 Jan 2021
Risk markers by sex for in-hospital mortality in patients with acute coronary syndrome: a machine learning approach Blanca Vázquez Gibran Fuentes-Pineda Fabian Garcia G. Borrayo J. Prohias 13 4 0 06 Jan 2021
On the price of explainability for some clustering problems E. Laber Lucas Murtinho 90 26 0 05 Jan 2021
Explainable AI and Adoption of Financial Algorithmic Advisors: an Experimental Study D. David Yehezkel S. Resheff Talia Tron 44 24 0 05 Jan 2021
On Baselines for Local Feature Attributions Johannes Haug Stefan Zurn Peter El-Jiz Gjergji Kasneci FAtt 64 31 0 04 Jan 2021
Outcome-Explorer: A Causality Guided Interactive Visual Interface for Interpretable Algorithmic Decision Making Md. Naimul Hoque Klaus Mueller CML 151 30 0 03 Jan 2021
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models Tongshuang Wu Marco Tulio Ribeiro Jeffrey Heer Daniel S. Weld 173 252 0 01 Jan 2021
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges Lu Cheng Kush R. Varshney Huan Liu FaML 170 154 0 01 Jan 2021
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging Han Guo Nazneen Rajani Peter Hase Joey Tianyi Zhou Caiming Xiong TDI 135 116 0 31 Dec 2020
Quantitative Evaluations on Saliency Methods: An Experimental Study Xiao-hui Li Yuhan Shi Haoyang Li Wei Bai Yuanwei Song Caleb Chen Cao Lei Chen FAtt XAI 108 20 0 31 Dec 2020
Detecting Anomalous Invoice Line Items in the Legal Case Lifecycle V. Constantinou M. Kabiri AILaw 47 2 0 28 Dec 2020
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python Hubert Baniecki Wojciech Kretowicz Piotr Piątyszek J. Wiśniewski P. Biecek FaML 98 97 0 28 Dec 2020
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 214 692 0 28 Dec 2020
Inserting Information Bottlenecks for Attribution in Transformers Zhiying Jiang Raphael Tang Ji Xin Jimmy J. Lin 57 6 0 27 Dec 2020
Modeling Dispositional and Initial learned Trust in Automated Vehicles with Predictability and Explainability Jackie Ayoub X. J. Yang Feng Zhou 77 68 0 25 Dec 2020
To what extent do human explanations of model behavior align with actual model behavior? Grusha Prasad Yixin Nie Joey Tianyi Zhou Robin Jia Douwe Kiela Adina Williams 75 28 0 24 Dec 2020
QUACKIE: A NLP Classification Task With Ground Truth Explanations Yves Rychener X. Renard Djamé Seddah P. Frossard Marcin Detyniecki 41 3 0 24 Dec 2020
On the Granularity of Explanations in Model Agnostic NLP Interpretability Yves Rychener X. Renard Djamé Seddah P. Frossard Marcin Detyniecki MILM FAtt 83 3 0 24 Dec 2020
Interpreting Deep Learning Models for Epileptic Seizure Detection on EEG signals Valentin Gabeff T. Teijeiro Marina Zapater L. Cammoun S. Rheims P. Ryvlin David Atienza Alonso 50 59 0 22 Dec 2020
Algorithmic Recourse in the Wild: Understanding the Impact of Data and Model Shifts Kaivalya Rawal Ece Kamar Himabindu Lakkaraju 96 42 0 22 Dec 2020
Unbox the Blackbox: Predict and Interpret YouTube Viewership Using Deep Learning Jiaheng Xie Xinyu Liu HAI 106 11 0 21 Dec 2020
On Relating 'Why?' and 'Why Not?' Explanations Alexey Ignatiev Nina Narodytska Nicholas M. Asher Sasha Rubin XAI FAtt LRM 69 26 0 21 Dec 2020
Biased Models Have Biased Explanations Aditya Jain Manish Ravula Joydeep Ghosh FaML 70 19 0 20 Dec 2020
Towards Robust Explanations for Deep Neural Networks Ann-Kathrin Dombrowski Christopher J. Anders K. Müller Pan Kessel FAtt 102 64 0 18 Dec 2020
Research Reproducibility as a Survival Analysis Edward Raff SyDa AI4CE 67 19 0 17 Dec 2020
Transformer Interpretability Beyond Attention Visualization Hila Chefer Shir Gur Lior Wolf 152 681 0 17 Dec 2020
Series Saliency: Temporal Interpretation for Multivariate Time Series Forecasting Qingyi Pan Wenbo Hu Jun Zhu FAtt AI4TS 58 7 0 16 Dec 2020
Latent-CF: A Simple Baseline for Reverse Counterfactual Explanations R. Balasubramanian Samuel Sharpe Brian Barr J. Wittenbach C. Bayan Bruss BDL 65 18 0 16 Dec 2020
AIST: An Interpretable Attention-based Deep Learning Model for Crime Prediction Yeasir Rayhan T. Hashem 43 24 0 16 Dec 2020
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 121 157 0 14 Dec 2020