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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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Attention-like feature explanation for tabular data A. Konstantinov Lev V. Utkin FAtt 114 5 0 10 Aug 2021
Post-hoc Interpretability for Neural NLP: A Survey Andreas Madsen Siva Reddy A. Chandar XAI 131 234 0 10 Aug 2021
Sample Observed Effects: Enumeration, Randomization and Generalization Andre F. Ribeiro CML 55 4 0 09 Aug 2021
Extending LIME for Business Process Automation Sohini Upadhyay Vatche Isahagian Vinod Muthusamy Sadhana Kumaravel FAtt 91 4 0 09 Aug 2021
Human-in-the-loop Extraction of Interpretable Concepts in Deep Learning Models Zhenge Zhao Panpan Xu C. Scheidegger Liu Ren 54 39 0 08 Aug 2021
Attainment Regions in Feature-Parameter Space for High-Level Debugging in Autonomous Robots Simón C. Smith S. Ramamoorthy 38 2 0 06 Aug 2021
Beyond Cuts in Small Signal Scenarios -- Enhanced Sneutrino Detectability Using Machine Learning Daniel Alvestad N. Fomin Jörn Kersten S. Maeland Inga Strümke 72 11 0 06 Aug 2021
An Interpretable Probabilistic Model for Short-Term Solar Power Forecasting Using Natural Gradient Boosting Georgios Mitrentsis H. Lens 43 111 0 05 Aug 2021
VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models Furui Cheng Dongyu Liu F. Du Yanna Lin Alexandra Zytek Haomin Li Huamin Qu K. Veeramachaneni 55 38 0 04 Aug 2021
Using Interaction Data to Predict Engagement with Interactive Media J. Carlton Andy Brown C. Jay J. Keane 21 12 0 04 Aug 2021
Fast Estimation Method for the Stability of Ensemble Feature Selectors Rina Onda Zhengyan Gao Masaaki Kotera Kenta Oono 41 0 0 03 Aug 2021
Towards a Better Understanding Human Reading Comprehension with Brain Signals Ziyi Ye Xiaohui Xie Yiqun Liu Zhihong Wang Xuesong Chen Hao Fei Shaoping Ma 81 17 0 03 Aug 2021
Process Mining Model to Predict Mortality in Paralytic Ileus Patients M. Pishgar M. Razo Julian Theis H. Darabi 19 14 0 03 Aug 2021
Knowledge-intensive Language Understanding for Explainable AI A. Sheth Manas Gaur Kaushik Roy Keyur Faldu 48 49 0 02 Aug 2021
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms Martin Pawelczyk Sascha Bielawski J. V. D. Heuvel Tobias Richter Gjergji Kasneci CML 107 105 0 02 Aug 2021
$Data-driven model for hydraulic fracturing design optimization. Part II: Inverse problem$ Data-driven model for hydraulic fracturing design optimization. Part II: Inverse problem Viktor Duplyakov A. Morozov D. Popkov E. Shel A. Vainshtein Evgeny Burnaev A. Osiptsov G. Paderin 70 20 0 02 Aug 2021
Realised Volatility Forecasting: Machine Learning via Financial Word Embedding Eghbal Rahimikia S. Zohren S. Poon AIFin 76 11 0 01 Aug 2021
Fair Representation Learning using Interpolation Enabled Disentanglement Akshita Jha B. Vinzamuri Chandan K. Reddy FedML 137 3 0 31 Jul 2021
A Psychologically Informed Part-of-Speech Analysis of Depression in Social Media Ana-Maria Bucur Ioana R. Podinua Liviu P. Dinu 28 12 0 31 Jul 2021
Contemporary Symbolic Regression Methods and their Relative Performance William La Cava Patryk Orzechowski Bogdan Burlacu Fabrício Olivetti de Francca M. Virgolin Ying Jin M. Kommenda J. Moore 210 263 0 29 Jul 2021
Temporal Dependencies in Feature Importance for Time Series Predictions Kin Kwan Leung Clayton Rooke Jonathan Smith S. Zuberi Anthony L. Caterini OOD AI4TS 77 25 0 29 Jul 2021
Bayesian Optimization in Materials Science: A Survey Lars Kotthoff H. Wahab Patrick Johnson AI4CE 30 11 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 97 96 0 28 Jul 2021
Resisting Out-of-Distribution Data Problem in Perturbation of XAI Luyu Qiu Yi Yang Caleb Chen Cao Jing Liu Yueyuan Zheng H. Ngai J. H. Hsiao Lei Chen 75 18 0 27 Jul 2021
Feature Synergy, Redundancy, and Independence in Global Model Explanations using SHAP Vector Decomposition Jan Ittner Lukasz Bolikowski Konstantin Hemker Ricardo Kennedy FAtt 46 7 0 26 Jul 2021
LocalGLMnet: interpretable deep learning for tabular data Ronald Richman M. Wüthrich LMTD FAtt 82 32 0 23 Jul 2021
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis Bas H. M. van der Velden Hugo J. Kuijf K. Gilhuijs M. Viergever XAI 106 677 0 22 Jul 2021
Unsupervised Detection of Adversarial Examples with Model Explanations Gihyuk Ko Gyumin Lim AAML GAN 48 5 0 22 Jul 2021
GLIME: A new graphical methodology for interpretable model-agnostic explanations Zoumpolia Dikopoulou S. Moustakidis Patrik Karlsson 35 6 0 21 Jul 2021
Predicting Driver Takeover Time in Conditionally Automated Driving Jackie Ayoub Na Du X. J. Yang Feng Zhou 59 38 0 20 Jul 2021
Independent Ethical Assessment of Text Classification Models: A Hate Speech Detection Case Study Amitoj Singh Jingshu Chen Lihao Zhang A. Rasekh Ilana Golbin Anand Srinivasa Rao 37 1 0 19 Jul 2021
Adaptive wavelet distillation from neural networks through interpretations Wooseok Ha Chandan Singh F. Lanusse Srigokul Upadhyayula Bin Yu 59 41 0 19 Jul 2021
Attribution of Predictive Uncertainties in Classification Models Iker Perez Piotr Skalski Alec E. Barns-Graham Jason Wong David Sutton UQCV 84 6 0 19 Jul 2021
DiCE4EL: Interpreting Process Predictions using a Milestone-Aware Counterfactual Approach Chih-Jou Hsieh Catarina Moreira Chun Ouyang 62 30 0 19 Jul 2021
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis Xingbo Wang Jianben He Zhihua Jin Muqiao Yang Yong Wang Huamin Qu 102 80 0 17 Jul 2021
FastSHAP: Real-Time Shapley Value Estimation N. Jethani Mukund Sudarshan Ian Covert Su-In Lee Rajesh Ranganath TDI FAtt 164 134 0 15 Jul 2021
Inverse Contextual Bandits: Learning How Behavior Evolves over Time Alihan Huyuk Daniel Jarrett M. Schaar CML OffRL 102 11 0 13 Jul 2021
Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data Sebastian Polsterl Christina Aigner Christian Wachinger FAtt 43 4 0 13 Jul 2021
Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff Michael J. Naylor C. French Samantha R. Terker Uday Kamath 82 10 0 12 Jul 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 199 213 0 12 Jul 2021
Explainable AI: current status and future directions Prashant Gohel Priyanka Singh M. Mohanty XAI 154 90 0 12 Jul 2021
Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning Michael Moor Nicolas Bennet Drago Plečko Max Horn Bastian Rieck N. Meinshausen Peter Buhlmann Karsten Borgwardt 48 6 0 12 Jul 2021
Using Causal Analysis for Conceptual Deep Learning Explanation Sumedha Singla Stephen Wallace Sofia Triantafillou Kayhan Batmanghelich CML 53 15 0 10 Jul 2021
A Framework and Benchmarking Study for Counterfactual Generating Methods on Tabular Data Raphael Mazzine David Martens 102 33 0 09 Jul 2021
Modality specific U-Net variants for biomedical image segmentation: A survey Narinder Singh Punn Sonali Agarwal SSeg 107 151 0 09 Jul 2021
Prediction of Blood Lactate Values in Critically Ill Patients: A Retrospective Multi-center Cohort Study B. Mamandipoor Wesley Yeung Louis Agha-Mir-Salim David J. Stone V. Osmani Leo Anthony Celi AI4MH 32 11 0 07 Jul 2021
Counterfactual Explanations in Sequential Decision Making Under Uncertainty Stratis Tsirtsis A. De Manuel Gomez Rodriguez 94 46 0 06 Jul 2021
Does Dataset Complexity Matters for Model Explainers? J. Ribeiro R. Silva Lucas F. F. Cardoso Ronnie Cley de Oliveira Alves XAI ELM 43 14 0 06 Jul 2021
Understanding Consumer Preferences for Explanations Generated by XAI Algorithms Yanou Ramon T. Vermeire Olivier Toubia David Martens Theodoros Evgeniou 74 10 0 06 Jul 2021
A Review of Explainable Artificial Intelligence in Manufacturing G. Sofianidis Jože M. Rožanec Dunja Mladenić D. Kyriazis 84 17 0 05 Jul 2021