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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
More Than Words: Towards Better Quality Interpretations of Text Classifiers Muhammad Bilal Zafar Philipp Schmidt Michele Donini Cédric Archambeau F. Biessmann Sanjiv Ranjan Das K. Kenthapadi FAtt 115 5 0 23 Dec 2021
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art Xiang Ling Lingfei Wu Jiangyu Zhang Zhenqing Qu Wei Deng ... Chunming Wu S. Ji Tianyue Luo Jingzheng Wu Yanjun Wu AAML 145 83 0 23 Dec 2021
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 123 188 0 21 Dec 2021
Toward Explainable AI for Regression Models S. Letzgus Patrick Wagner Jonas Lederer Wojciech Samek Klaus-Robert Muller G. Montavon XAI 97 67 0 21 Dec 2021
Deep Learning Based Cloud Cover Parameterization for ICON Arthur Grundner Tom Beucler Pierre Gentine Fernando Iglesias‐Suarez M. Giorgetta Veronika Eyring 84 21 0 21 Dec 2021
Explanation of Machine Learning Models Using Shapley Additive Explanation and Application for Real Data in Hospital Yasunobu Nohara Koutarou Matsumoto H. Soejima N. Nakashima FAtt FedML 37 394 0 21 Dec 2021
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction Dongfang Li Baotian Hu Qingcai Chen Tujie Xu Jingcong Tao Yunan Zhang 75 12 0 20 Dec 2021
RELAX: Representation Learning Explainability Kristoffer Wickstrøm Daniel J. Trosten Sigurd Løkse Ahcène Boubekki Karl Øyvind Mikalsen Michael C. Kampffmeyer Robert Jenssen FAtt 51 15 0 19 Dec 2021
Interpretable Data-Based Explanations for Fairness Debugging Romila Pradhan Jiongli Zhu Boris Glavic Babak Salimi 93 58 0 17 Dec 2021
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction Aaron Chan Maziar Sanjabi Lambert Mathias L Tan Shaoliang Nie Xiaochang Peng Xiang Ren Hamed Firooz 110 44 0 16 Dec 2021
Enhancing operations management through smart sensors: measuring and improving well-being, interaction and performance of logistics workers D. Aloini A. Fronzetti Colladon P. Gloor E. Guerrazzi A. Stefanini 56 8 0 15 Dec 2021
Utilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation(SHAP) Khushnaseeb Roshan Aasim Zafar AAML 65 54 0 14 Dec 2021
Climate-Invariant Machine Learning Tom Beucler Pierre Gentine J. Yuval Ankitesh Gupta Liran Peng ... F. Ahmed P. O’Gorman J. Neelin N. Lutsko Michael S. Pritchard OOD AI4CE 122 67 0 14 Dec 2021
Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection Diego Garcia-Olano Yasumasa Onoe Joydeep Ghosh 69 18 0 13 Dec 2021
Why Are You Weird? Infusing Interpretability in Isolation Forest for Anomaly Detection Nirmal Sobha Kartha Clément Gautrais Vincent Vercruyssen 49 6 0 13 Dec 2021
How to Find a Good Explanation for Clustering? Sayan Bandyapadhyay F. Fomin P. Golovach W. Lochet Nidhi Purohit Kirill Simonov 52 37 0 13 Dec 2021
Quantum kernels for real-world predictions based on electronic health records Z. Krunic Frederik F. Flöther G. Seegan Nathan Earnest-Noble Omar Shehab 55 37 0 12 Dec 2021
A Novel Tropical Geometry-based Interpretable Machine Learning Method: Application in Prognosis of Advanced Heart Failure Heming Yao H. Derksen J. Golbus Justin Zhang K. Aaronson Jonathan Gryak Kayvan Najarian 65 4 0 09 Dec 2021
Training Deep Models to be Explained with Fewer Examples Tomoharu Iwata Yuya Yoshikawa FAtt 131 1 0 07 Dec 2021
GAM Changer: Editing Generalized Additive Models with Interactive Visualization Zijie J. Wang Alex Kale Harsha Nori P. Stella M. Nunnally Duen Horng Chau Mihaela Vorvoreanu Jennifer Wortman Vaughan R. Caruana KELM 40 24 0 06 Dec 2021
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning Wenjie Shi Gao Huang Shiji Song Cheng Wu 84 11 0 06 Dec 2021
Interpretable Image Classification with Differentiable Prototypes Assignment Dawid Rymarczyk Lukasz Struski Michal Górszczak K. Lewandowska Jacek Tabor Bartosz Zieliñski 85 102 0 06 Dec 2021
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View Di Jin Elena Sergeeva W. Weng Geeticka Chauhan Peter Szolovits OOD 120 58 0 05 Dec 2021
Machine Learning in Nuclear Physics A. Boehnlein M. Diefenthaler C. Fanelli M. Hjorth-Jensen T. Horn ... M. Schram A. Scheinker Michael S. Smith Xin-Nian Wang Veronique Ziegler AI4CE 113 42 0 04 Dec 2021
Counterfactual Explanations via Latent Space Projection and Interpolation Brian Barr Matthew R. Harrington Samuel Sharpe Capital One BDL 70 10 0 02 Dec 2021
What to Learn, and How: Toward Effective Learning from Rationales Samuel Carton Surya Kanoria Chenhao Tan 133 25 0 30 Nov 2021
Automated Speech Scoring System Under The Lens: Evaluating and interpreting the linguistic cues for language proficiency P. Bamdev Manraj Singh Grover Yaman Kumar Singla Payman Vafaee Mika Hama R. Shah 73 13 0 30 Nov 2021
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes Jonathan Donnelly A. Barnett Chaofan Chen 3DH 134 130 0 29 Nov 2021
Multi-objective Explanations of GNN Predictions Yifei Liu Chao Chen Yazheng Liu Xi Zhang Sihong Xie 67 14 0 29 Nov 2021
Improving Deep Learning Interpretability by Saliency Guided Training Aya Abdelsalam Ismail H. C. Bravo Soheil Feizi FAtt 105 83 0 29 Nov 2021
ExCon: Explanation-driven Supervised Contrastive Learning for Image Classification Zhibo Zhang Jongseong Jang C. Trabelsi Ruiwen Li Scott Sanner Yeonjeong Jeong Dongsub Shim 54 4 0 28 Nov 2021
On the combination of graph data for assessing thin-file borrowers' creditworthiness Ricardo Muñoz-Cancino Cristián Bravo Sebastián A. Ríos M. Graña 49 14 0 26 Nov 2021
Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models David Nigenda Zohar Karnin Muhammad Bilal Zafar Raghu Ramesha Alan Tan Michele Donini K. Kenthapadi VLM 54 45 0 26 Nov 2021
Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features Lars Henry Berge Olsen I. Glad Martin Jullum K. Aas TDI FAtt 109 17 0 26 Nov 2021
Uncovering the Dark Side of Telegram: Fakes, Clones, Scams, and Conspiracy Movements Massimo La Morgia Alessandro Mei Alberto Maria Mongardini Jie Wu 65 23 0 26 Nov 2021
QNNVerifier: A Tool for Verifying Neural Networks using SMT-Based Model Checking Xidan Song Edoardo Manino Luiz Sena E. Alves Eddie Batista de Lima Filho I. Bessa M. Luján Lucas C. Cordeiro 73 5 0 25 Nov 2021
Explainable Deep Image Classifiers for Skin Lesion Diagnosis C. Metta Andrea Beretta Riccardo Guidotti Yuan Yin Patrick Gallinari S. Rinzivillo F. Giannotti 52 5 0 22 Nov 2021
Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability Yan Kang Yang Liu Yuezhou Wu Guoqiang Ma Qiang Yang 71 40 0 22 Nov 2021
SNPs Filtered by Allele Frequency Improve the Prediction of Hypertension Subtypes Yiming Li Sanjiv J. Shah D. Arnett R. Irvin Yuan Luo 45 4 0 19 Nov 2021
Machine Learning-Based Soft Sensors for Vacuum Distillation Unit Kamil Oster S. Güttel Lu Chen J. L. Shapiro M. Jobson 28 1 0 19 Nov 2021
Mate! Are You Really Aware? An Explainability-Guided Testing Framework for Robustness of Malware Detectors Ruoxi Sun Minhui Xue Gareth Tyson Tian Dong Shaofeng Li Shuo Wang Haojin Zhu S. Çamtepe Surya Nepal AAML 116 16 0 19 Nov 2021
Explaining GNN over Evolving Graphs using Information Flow Yazheng Liu Xi Zhang Sihong Xie FAtt 28 0 0 19 Nov 2021
Explainable predictions of different machine learning algorithms used to predict Early Stage diabetes V. Vakil S. Pachchigar C. Chavda S. Soni 19 3 0 18 Nov 2021
MCCE: Monte Carlo sampling of realistic counterfactual explanations Annabelle Redelmeier Martin Jullum K. Aas Anders Løland BDL 66 11 0 18 Nov 2021
Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance J. Pereira E. Stroes A. Zwinderman E. Levin AAML 22 12 0 18 Nov 2021
Acquisition of Chess Knowledge in AlphaZero Thomas McGrath A. Kapishnikov Nenad Tomašev Adam Pearce Demis Hassabis Been Kim Ulrich Paquet Vladimir Kramnik 77 169 0 17 Nov 2021
STEEX: Steering Counterfactual Explanations with Semantics P. Jacob Éloi Zablocki H. Ben-younes Mickaël Chen P. Pérez Matthieu Cord 79 43 0 17 Nov 2021
A Survey on Adversarial Attacks for Malware Analysis Kshitiz Aryal Maanak Gupta Mahmoud Abdelsalam AAML 114 53 0 16 Nov 2021
Will We Trust What We Don't Understand? Impact of Model Interpretability and Outcome Feedback on Trust in AI Daehwan Ahn Abdullah Almaatouq Monisha Gulabani K. Hosanagar 66 14 0 16 Nov 2021
A Comparative Study on Basic Elements of Deep Learning Models for Spatial-Temporal Traffic Forecasting Y. Shin Yoonjin Yoon AI4TS GNN 60 1 0 15 Nov 2021