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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 best way to select features? Xin Man Ernest P. Chan 44 60 0 26 May 2020
NILE : Natural Language Inference with Faithful Natural Language Explanations Sawan Kumar Partha P. Talukdar XAI LRM 122 163 0 25 May 2020
Towards Analogy-Based Explanations in Machine Learning Eyke Hüllermeier XAI 47 20 0 23 May 2020
An analysis on the use of autoencoders for representation learning: fundamentals, learning task case studies, explainability and challenges D. Charte F. Charte M. J. D. Jesus Francisco Herrera SSL OOD 145 51 0 21 May 2020
Interpretable and Accurate Fine-grained Recognition via Region Grouping Zixuan Huang Yin Li 85 141 0 21 May 2020
The challenges of deploying artificial intelligence models in a rapidly evolving pandemic Yipeng Hu J. Jacob Geoffrey J. M. Parker D. Hawkes J. Hurst Danail Stoyanov OOD 62 66 0 19 May 2020
ISeeU2: Visually Interpretable ICU mortality prediction using deep learning and free-text medical notes William Caicedo-Torres Jairo Gutiérrez 60 3 0 19 May 2020
Applying Genetic Programming to Improve Interpretability in Machine Learning Models Leonardo Augusto Ferreira F. G. Guimarães Rodrigo C. P. Silva 41 37 0 18 May 2020
Boosting on the shoulders of giants in quantum device calibration A. Wozniakowski Jayne Thompson M. Gu F. Binder 38 3 0 13 May 2020
Ensembled sparse-input hierarchical networks for high-dimensional datasets Jean Feng N. Simon 26 4 0 11 May 2020
Super-App Behavioral Patterns in Credit Risk Models: Financial, Statistical and Regulatory Implications Luisa Roa Alejandro Correa-Bahnsen Gabriel Suarez Fernando Cortés-Tejada María A. Luque Cristián Bravo 42 43 0 09 May 2020
XEM: An Explainable-by-Design Ensemble Method for Multivariate Time Series Classification Kevin Fauvel Elisa Fromont Véronique Masson P. Faverdin Alexandre Termier AI4TS 72 44 0 07 May 2020
Interpretable Learning-to-Rank with Generalized Additive Models Honglei Zhuang Xuanhui Wang Michael Bendersky Alexander Grushetsky Yonghui Wu Petr Mitrichev Ethan Sterling Nathan Bell Walker Ravina Hai Qian AI4CE FAtt 86 12 0 06 May 2020
A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov-Smirnov bounds M. Kovalev Lev V. Utkin AAML 81 32 0 05 May 2020
SurvLIME-Inf: A simplified modification of SurvLIME for explanation of machine learning survival models Lev V. Utkin M. Kovalev E. Kasimov 78 10 0 05 May 2020
An Investigation of COVID-19 Spreading Factors with Explainable AI Techniques Xiuyi Fan Siyuan Liu Jiarong Chen T. Henderson 39 7 0 05 May 2020
Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? Peter Hase Joey Tianyi Zhou FAtt 85 305 0 04 May 2020
Do Gradient-based Explanations Tell Anything About Adversarial Robustness to Android Malware? Marco Melis Michele Scalas Ambra Demontis Davide Maiorca Battista Biggio Giorgio Giacinto Fabio Roli AAML FAtt 56 28 0 04 May 2020
Rationalizing Medical Relation Prediction from Corpus-level Statistics Zhen Wang Jennifer A Lee Simon M. Lin Huan Sun OOD 30 4 0 02 May 2020
Evaluating and Aggregating Feature-based Model Explanations Umang Bhatt Adrian Weller J. M. F. Moura XAI 112 226 0 01 May 2020
The Grammar of Interactive Explanatory Model Analysis Hubert Baniecki Dariusz Parzych P. Biecek 75 46 0 01 May 2020
Hide-and-Seek: A Template for Explainable AI Thanos Tagaris A. Stafylopatis 26 6 0 30 Apr 2020
Modeling Pharmacological Effects with Multi-Relation Unsupervised Graph Embedding Dehua Chen Amir Jalilifard Adriano Veloso N. Ziviani 4 1 0 30 Apr 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 120 382 0 30 Apr 2020
Multimodal Routing: Improving Local and Global Interpretability of Multimodal Language Analysis Yao-Hung Hubert Tsai Martin Q. Ma Muqiao Yang Ruslan Salakhutdinov Louis-Philippe Morency 33 4 0 29 Apr 2020
An Explainable Deep Learning-based Prognostic Model for Rotating Machinery Namkyoung Lee M. Azarian M. Pecht 16 14 0 28 Apr 2020
Time Series Forecasting With Deep Learning: A Survey Bryan Lim S. Zohren AI4TS AI4CE 128 1,255 0 28 Apr 2020
An ASP-Based Approach to Counterfactual Explanations for Classification Leopoldo Bertossi CML 83 15 0 28 Apr 2020
Why an Android App is Classified as Malware? Towards Malware Classification Interpretation Bozhi Wu Sen Chen Cuiyun Gao Lingling Fan Yang Liu W. Wen Michael R. Lyu 95 58 0 24 Apr 2020
Adversarial Attacks and Defenses: An Interpretation Perspective Ninghao Liu Mengnan Du Ruocheng Guo Huan Liu Helen Zhou AAML 61 8 0 23 Apr 2020
Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs Sungsoo Ray Hong Jessica Hullman E. Bertini HAI 98 197 0 23 Apr 2020
Multi-Objective Counterfactual Explanations Susanne Dandl Christoph Molnar Martin Binder B. Bischl 75 260 0 23 Apr 2020
Investigating similarities and differences between South African and Sierra Leonean school outcomes using Machine Learning Henry Wandera Vukosi Marivate David M. Sengeh 14 1 0 22 Apr 2020
Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks Chaojie Ji Ruxin Wang Hongyan Wu 67 7 0 21 Apr 2020
Automatic Tag Recommendation for Painting Artworks Using Diachronic Descriptions Gianlucca L. Zuin Adriano Veloso J. C. Portinari N. Ziviani 15 4 0 21 Apr 2020
Explainable Goal-Driven Agents and Robots -- A Comprehensive Review F. Sado C. K. Loo W. S. Liew Matthias Kerzel S. Wermter 98 52 0 21 Apr 2020
ktrain: A Low-Code Library for Augmented Machine Learning Arun S. Maiya 46 151 0 19 Apr 2020
Ownership at Large -- Open Problems and Challenges in Ownership Management John Ahlgren Maria Eugenia Berezin Kinga Bojarczuk Elena Dulskyte Inna Dvortsova ... Shan He Ralf Lämmel E. Meijer Silvia Sapora Justin Spahr-Summers 18 5 0 15 Apr 2020
Complaint-driven Training Data Debugging for Query 2.0 Weiyuan Wu Lampros Flokas Eugene Wu Jiannan Wang 79 45 0 12 Apr 2020
Explaining Question Answering Models through Text Generation Veronica Latcinnik Jonathan Berant LRM 101 51 0 12 Apr 2020
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness? Alon Jacovi Yoav Goldberg XAI 144 601 0 07 Apr 2020
A general framework for inference on algorithm-agnostic variable importance B. Williamson P. Gilbert N. Simon M. Carone FAtt CML 56 68 0 07 Apr 2020
There and Back Again: Revisiting Backpropagation Saliency Methods Sylvestre-Alvise Rebuffi Ruth C. Fong Xu Ji Andrea Vedaldi FAtt XAI 68 113 0 06 Apr 2020
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection Hanjie Chen Guangtao Zheng Yangfeng Ji FAtt 117 95 0 04 Apr 2020
Attribution in Scale and Space Shawn Xu Subhashini Venugopalan Mukund Sundararajan FAtt BDL 60 72 0 03 Apr 2020
Heart Sound Segmentation using Bidirectional LSTMs with Attention Tharindu Fernando H. Ghaemmaghami Simon Denman Sridha Sridharan Nayyar Hussain Clinton Fookes 94 64 0 02 Apr 2020
Ontology-based Interpretable Machine Learning for Textual Data Phung Lai Nhathai Phan Han Hu Anuja Badeti David Newman Dejing Dou 31 8 0 01 Apr 2020
A Spatio-Temporal Spot-Forecasting Framework for Urban Traffic Prediction Rodrigo de Medrano J. Aznarte AI4TS 62 24 0 31 Mar 2020
Interpretable Deep Learning Model for Online Multi-touch Attribution Dongdong Yang Kevin P. Dyer Senzhang Wang FAtt 37 10 0 26 Mar 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 182 123 0 26 Mar 2020