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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
Scrutinizing XAI using linear ground-truth data with suppressor variables Rick Wilming Céline Budding K. Müller Stefan Haufe FAtt 68 26 0 14 Nov 2021
A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines V. Borisov Johannes Meier J. V. D. Heuvel Hamed Jalali Gjergji Kasneci FAtt 72 5 0 14 Nov 2021
A Practical guide on Explainable AI Techniques applied on Biomedical use case applications Adrien Bennetot Ivan Donadello Ayoub El Qadi M. Dragoni Thomas Frossard ... M. Trocan Raja Chatila Andreas Holzinger Artur Garcez Natalia Díaz Rodríguez XAI 68 9 0 13 Nov 2021
LoMEF: A Framework to Produce Local Explanations for Global Model Time Series Forecasts Dilini Sewwandi Rajapaksha Christoph Bergmeir Rob J. Hyndman FAtt AI4TS 36 14 0 13 Nov 2021
Learning Interpretation with Explainable Knowledge Distillation Raed Alharbi Minh Nhat Vu My T. Thai 70 15 0 12 Nov 2021
Explainable AI for Psychological Profiling from Digital Footprints: A Case Study of Big Five Personality Predictions from Spending Data Yanou Ramon S. Matz R. Farrokhnia David Martens 51 19 0 12 Nov 2021
Discovering and Explaining the Representation Bottleneck of DNNs Huiqi Deng Qihan Ren Hao Zhang Quanshi Zhang 124 61 0 11 Nov 2021
Beyond Importance Scores: Interpreting Tabular ML by Visualizing Feature Semantics Amirata Ghorbani Dina Berenbaum Maor Ivgi Yuval Dafna James Zou FAtt 54 9 0 10 Nov 2021
Data-Driven AI Model Signal-Awareness Enhancement and Introspection Sahil Suneja Yufan Zhuang Yunhui Zheng Jim Laredo Alessandro Morari SyDa 105 1 0 10 Nov 2021
Self-Interpretable Model with TransformationEquivariant Interpretation Yipei Wang Xiaoqian Wang 77 23 0 09 Nov 2021
Consistent Sufficient Explanations and Minimal Local Rules for explaining regression and classification models Salim I. Amoukou Nicolas Brunel FAtt LRM 91 5 0 08 Nov 2021
Defense Against Explanation Manipulation Ruixiang Tang Ninghao Liu Fan Yang Na Zou Helen Zhou AAML 91 12 0 08 Nov 2021
AI challenges for predicting the impact of mutations on protein stability F. Pucci Martin Schwersensky M. Rooman 56 1 0 08 Nov 2021
Data-Centric Engineering: integrating simulation, machine learning and statistics. Challenges and Opportunities Indranil Pan L. Mason Omar K. Matar AI4CE 105 46 0 07 Nov 2021
"How Does It Detect A Malicious App?" Explaining the Predictions of AI-based Android Malware Detector Zhi Lu V. Thing AAML 46 4 0 06 Nov 2021
Interpreting Representation Quality of DNNs for 3D Point Cloud Processing Wen Shen Qihan Ren Dongrui Liu Quanshi Zhang 3DPC 144 18 0 05 Nov 2021
Visualizing the Emergence of Intermediate Visual Patterns in DNNs Mingjie Li Shaobo Wang Quanshi Zhang 99 10 0 05 Nov 2021
Causal versus Marginal Shapley Values for Robotic Lever Manipulation Controlled using Deep Reinforcement Learning Sindre Benjamin Remman Inga Strümke A. Lekkas CML 48 7 0 04 Nov 2021
Convolutional Motif Kernel Networks Jonas C. Ditz Bernhard Reuter N. Pfeifer FAtt 81 2 0 03 Nov 2021
Exploring Explainable AI in the Financial Sector: Perspectives of Banks and Supervisory Authorities O. Kuiper M. V. D. Berg Joost van den Burgt S. Leijnen 59 19 0 03 Nov 2021
Decision Support Models for Predicting and Explaining Airport Passenger Connectivity from Data Marta Guimarães Cláudia Soares Rodrigo V. Ventura 28 2 0 02 Nov 2021
Designing Inherently Interpretable Machine Learning Models Agus Sudjianto Aijun Zhang FaML 53 32 0 02 Nov 2021
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey Bonan Min Hayley L Ross Elior Sulem Amir Pouran Ben Veyseh Thien Huu Nguyen Oscar Sainz Eneko Agirre Ilana Heinz Dan Roth LM&MA VLM AI4CE 197 1,103 0 01 Nov 2021
Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions Prateek Yadav Peter Hase Joey Tianyi Zhou 68 11 0 01 Nov 2021
Provably efficient, succinct, and precise explanations Guy Blanc Jane Lange Li-Yang Tan FAtt 136 38 0 01 Nov 2021
Comparative Explanations of Recommendations Aobo Yang Nan Wang Renqin Cai Hongbo Deng Hongning Wang 133 12 0 01 Nov 2021
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods Zohaib Salahuddin Henry C. Woodruff A. Chatterjee Philippe Lambin 90 322 0 01 Nov 2021
A Survey on the Robustness of Feature Importance and Counterfactual Explanations Saumitra Mishra Sanghamitra Dutta Jason Long Daniele Magazzeni AAML 86 58 0 30 Oct 2021
Towards Comparative Physical Interpretation of Spatial Variability Aware Neural Networks: A Summary of Results Jayant Gupta Carl Molnar Gaoxiang Luo Joe Knight Shashi Shekhar 44 0 0 29 Oct 2021
Holistic Deep Learning Dimitris Bertsimas Kimberly Villalobos Carballo L. Boussioux M. Li Alex Paskov I. Paskov 94 3 0 29 Oct 2021
Explaining Latent Representations with a Corpus of Examples Jonathan Crabbé Zhaozhi Qian F. Imrie M. Schaar FAtt 84 38 0 28 Oct 2021
XDEEP-MSI: Explainable Bias-Rejecting Microsatellite Instability Deep Learning System In Colorectal Cancer A. Bustos A. Payá A. Torrubia R. Jover X. Llor X. Bessa A. Castells C. Alenda 53 12 0 28 Oct 2021
Perceptual Score: What Data Modalities Does Your Model Perceive? Itai Gat Idan Schwartz Alex Schwing 99 32 0 27 Oct 2021
Counterfactual Shapley Additive Explanations Emanuele Albini Jason Long Danial Dervovic Daniele Magazzeni 109 51 0 27 Oct 2021
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning Yongchan Kwon James Zou TDI 99 135 0 26 Oct 2021
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection Chunjong Park Anas Awadalla Tadayoshi Kohno Shwetak N. Patel OOD 79 30 0 26 Oct 2021
Understanding Interlocking Dynamics of Cooperative Rationalization Mo Yu Yang Zhang Shiyu Chang Tommi Jaakkola 94 44 0 26 Oct 2021
Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set Gabriel Laberge Y. Pequignot Alexandre Mathieu Foutse Khomh M. Marchand FAtt 75 6 0 26 Oct 2021
Double Trouble: How to not explain a text classifier's decisions using counterfactuals synthesized by masked language models? Thang M. Pham Trung H. Bui Long Mai Anh Totti Nguyen 115 7 0 22 Oct 2021
Explainable Landscape-Aware Optimization Performance Prediction R. Trajanov Stefan Dimeski Martin Popovski Peter Korošec T. Eftimov 71 16 0 22 Oct 2021
ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable AI Samuel Hess G. Ditzler AAML 89 1 0 22 Oct 2021
Text Counterfactuals via Latent Optimization and Shapley-Guided Search Quintin Pope Xiaoli Z. Fern 64 20 0 22 Oct 2021
Human-Centered Explainable AI (XAI): From Algorithms to User Experiences Q. V. Liao R. Varshney 133 234 0 20 Oct 2021
Multi-concept adversarial attacks Vibha Belavadi Yan Zhou Murat Kantarcioglu B. Thuraisingham AAML 85 0 0 19 Oct 2021
Coalitional Bayesian Autoencoders -- Towards explainable unsupervised deep learning Bang Xiang Yong Alexandra Brintrup 61 7 0 19 Oct 2021
EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters Siegfried Ludwig Stylianos Bakas Dimitrios A. Adamos N. Laskaris Yannis Panagakis Stefanos Zafeiriou 65 7 0 19 Oct 2021
AequeVox: Automated Fairness Testing of Speech Recognition Systems Sai Sathiesh Rajan Sakshi Udeshi Sudipta Chattopadhyay 121 15 0 19 Oct 2021
Efficient Analysis of COVID-19 Clinical Data using Machine Learning Models Sarwan Ali Yijing Zhou M. Patterson OOD 101 32 0 18 Oct 2021
RKHS-SHAP: Shapley Values for Kernel Methods Siu Lun Chau Robert Hu Javier I. González Dino Sejdinovic FAtt 83 20 0 18 Oct 2021
Schrödinger's Tree -- On Syntax and Neural Language Models Artur Kulmizev Joakim Nivre 77 6 0 17 Oct 2021