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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
Systematic Adaptation of Communication-focused Machine Learning Models from Real to Virtual Environments for Human-Robot Collaboration D. Mukherjee Ritwik Singhai Homayoun Najjaran 28 0 0 21 Jul 2023
Finding Optimal Diverse Feature Sets with Alternative Feature Selection Jakob Bach 210 1 0 21 Jul 2023
Conditional expectation network for SHAP Ronald Richman M. Wüthrich FAtt BDL 49 3 0 20 Jul 2023
TbExplain: A Text-based Explanation Method for Scene Classification Models with the Statistical Prediction Correction Amirhossein Aminimehr Pouya Khani Amir Molaei Amirmohammad Kazemeini Min Zhang FAtt 96 5 0 19 Jul 2023
Physics-based Reduced Order Modeling for Uncertainty Quantification of Guided Wave Propagation using Bayesian Optimization G. Drakoulas T. Gortsas D. Polyzos 105 5 0 18 Jul 2023
With Flying Colors: Predicting Community Success in Large-scale Collaborative Campaigns Abraham Israeli Oren Tsur 56 2 0 18 Jul 2023
Alioth: A Machine Learning Based Interference-Aware Performance Monitor for Multi-Tenancy Applications in Public Cloud Tianyao Shi Yingxuan Yang Yunlong Cheng Xiaofeng Gao Zhen Fang Yongqiang Yang 25 1 0 18 Jul 2023
Towards eXplainable AI for Mobility Data Science Anahid N. Jalali Anita Graser Clemens Heistracher 34 2 0 17 Jul 2023
HOPE: High-order Polynomial Expansion of Black-box Neural Networks Tingxiong Xiao Weihang Zhang Yuxiao Cheng J. Suo 62 3 0 17 Jul 2023
Empowering recommender systems using automatically generated Knowledge Graphs and Reinforcement Learning Ghanshyam Verma Shovon Sengupta Simon Simanta Huan Chen J. Perge Devishree Pillai John P. Mccrae P. Buitelaar OffRL 183 1 0 11 Jul 2023
False Sense of Security: Leveraging XAI to Analyze the Reasoning and True Performance of Context-less DGA Classifiers Arthur Drichel Ulrike Meyer 50 7 0 10 Jul 2023
Robust Ranking Explanations Chao Chen Chenghua Guo Guixiang Ma Ming Zeng Xi Zhang Sihong Xie FAtt AAML 100 0 0 08 Jul 2023
inTformer: A Time-Embedded Attention-Based Transformer for Crash Likelihood Prediction at Intersections Using Connected Vehicle Data B. M. Tazbiul Zubayer Islam Mohamed Abdel-Aty 59 6 0 07 Jul 2023
Shapley Sets: Feature Attribution via Recursive Function Decomposition Torty Sivill Peter A. Flach FAtt TDI 43 1 0 04 Jul 2023
Fighting the disagreement in Explainable Machine Learning with consensus A. Banegas-Luna Carlos Martínez-Cortés H. Sánchez FaML 43 1 0 03 Jul 2023
Worth of knowledge in deep learning Hao Xu Yuntian Chen Dong-juan Zhang 61 0 0 03 Jul 2023
CLIMAX: An exploration of Classifier-Based Contrastive Explanations Praharsh Nanavati Ranjitha Prasad 71 0 0 02 Jul 2023
Queer People are People First: Deconstructing Sexual Identity Stereotypes in Large Language Models Harnoor Dhingra Preetiha Jayashanker Sayali S. Moghe Emma Strubell 82 13 0 30 Jun 2023
Diagnosis Uncertain Models For Medical Risk Prediction A. Peysakhovich Rich Caruana Y. Aphinyanaphongs 28 0 0 29 Jun 2023
Optimizing Credit Limit Adjustments Under Adversarial Goals Using Reinforcement Learning Sherly Alfonso-Sánchez Jesus Solano Alejandro Correa-Bahnsen Kristina P. Sendova Cristián Bravo 20 7 0 27 Jun 2023
Classification and Explanation of Distributed Denial-of-Service (DDoS) Attack Detection using Machine Learning and Shapley Additive Explanation (SHAP) Methods Yuanyuan Wei Ju-Seong Jang Amardeep Singh Fariza Sabrina S. Çamtepe FAtt AAML 31 1 0 27 Jun 2023
PWSHAP: A Path-Wise Explanation Model for Targeted Variables Lucile Ter-Minassian Oscar Clivio Karla Diaz-Ordaz R. Evans Chris Holmes 87 1 0 26 Jun 2023
XAI-TRIS: Non-linear image benchmarks to quantify false positive post-hoc attribution of feature importance Benedict Clark Rick Wilming Stefan Haufe 100 5 0 22 Jun 2023
Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities Xudong Shen H. Brown Jiashu Tao Martin Strobel Yao Tong Akshay Narayan Harold Soh Finale Doshi-Velez 98 3 0 22 Jun 2023
Benchmark data to study the influence of pre-training on explanation performance in MR image classification Marta Oliveira Rick Wilming Benedict Clark Céline Budding Fabian Eitel K. Ritter Stefan Haufe 55 1 0 21 Jun 2023
Any Deep ReLU Network is Shallow M. Villani Nandi Schoots FAtt OffRL 77 12 0 20 Jun 2023
Detection of Sensor-To-Sensor Variations using Explainable AI Sarah Seifi Sebastian A. Schober Cecilia Carbonelli Lorenzo Servadei Robert Wille 52 0 0 19 Jun 2023
Interpreting Deep Neural Networks with the Package innsight Niklas Koenen Marvin N. Wright FAtt 104 6 0 19 Jun 2023
"You might think about slightly revising the title": identifying hedges in peer-tutoring interactions Yann Raphalen Chloé Clavel Justine Cassell 54 13 0 18 Jun 2023
Predicting Real-time Crash Risks during Hurricane Evacuation Using Connected Vehicle Data Zaheen E Muktadi Syed Samiul Hasan 13 3 0 14 Jun 2023
EMERSK -- Explainable Multimodal Emotion Recognition with Situational Knowledge M. Palash Bharat K. Bhargava CVBM 85 7 0 14 Jun 2023
On the Robustness of Removal-Based Feature Attributions Christy Lin Ian Covert Su-In Lee 122 13 0 12 Jun 2023
Adversarial Attacks on the Interpretation of Neuron Activation Maximization Géraldin Nanfack A. Fulleringer Jonathan Marty Michael Eickenberg Eugene Belilovsky AAML FAtt 69 11 0 12 Jun 2023
Trustworthy Artificial Intelligence Framework for Proactive Detection and Risk Explanation of Cyber Attacks in Smart Grid M. S. Munir Sachin Shetty D. Rawat 24 4 0 12 Jun 2023
Explaining a machine learning decision to physicians via counterfactuals Supriya Nagesh Nina Mishra Yonatan Naamad James M. Rehg M. A. Shah Alexei Wagner CML OOD 67 5 0 10 Jun 2023
Morphosyntactic probing of multilingual BERT models Judit Ács Endre Hamerlik Roy Schwartz Noah A. Smith András Kornai 93 10 0 09 Jun 2023
Consistent Explanations in the Face of Model Indeterminacy via Ensembling Dan Ley Leonard Tang Matthew Nazari Hongjin Lin Suraj Srinivas Himabindu Lakkaraju 68 2 0 09 Jun 2023
Explaining Reinforcement Learning with Shapley Values Daniel Beechey Thomas M. S. Smith Özgür Simsek TDI FAtt 67 18 0 09 Jun 2023
Efficient GNN Explanation via Learning Removal-based Attribution Yao Rong Guanchu Wang Qizhang Feng Ninghao Liu Zirui Liu Enkelejda Kasneci Helen Zhou 91 9 0 09 Jun 2023
Explainable Predictive Maintenance Sepideh Pashami Sławomir Nowaczyk Yuantao Fan Jakub Jakubowski Nuno Paiva ... Bruno Veloso M. Sayed-Mouchaweh L. Rajaoarisoa Grzegorz J. Nalepa João Gama 77 9 0 08 Jun 2023
Shedding light on underrepresentation and Sampling Bias in machine learning Sami Zhioua Ruta Binkyt.e 45 0 0 08 Jun 2023
Don't trust your eyes: on the (un)reliability of feature visualizations Robert Geirhos Roland S. Zimmermann Blair Bilodeau Wieland Brendel Been Kim FAtt OOD 125 31 0 07 Jun 2023
Hardness of Deceptive Certificate Selection Stephan Wäldchen AAML 34 1 0 07 Jun 2023
Quantitative Analysis of Primary Attribution Explainable Artificial Intelligence Methods for Remote Sensing Image Classification Akshatha Mohan Joshua Peeples 64 4 0 06 Jun 2023
Sentiment Analysis in Finance: From Transformers Back to eXplainable Lexicons (XLex) Maryan Rizinski Hristijan Peshov Kostadin Mishev Milos Jovanovik D. Trajanov 53 16 0 06 Jun 2023
Recognition of Handwritten Japanese Characters Using Ensemble of Convolutional Neural Networks Angel I. Solis Justin Zarkovacki J. Ly A. Atyabi 43 1 0 06 Jun 2023
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency Owen Queen Thomas Hartvigsen Teddy Koker Huan He Theodoros Tsiligkaridis Marinka Zitnik AI4TS 98 21 0 03 Jun 2023
DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation Felipe Garrido-Lucero Benjamin Heymann Maxime Vono Patrick Loiseau Vianney Perchet FedML TDI 112 4 0 03 Jun 2023
XAI Renaissance: Redefining Interpretability in Medical Diagnostic Models Sujith K Mandala 48 0 0 02 Jun 2023
Fair multilingual vandalism detection system for Wikipedia Mykola Trokhymovych Muniza Aslam Ai-Jou Chou R. Baeza-Yates Diego Sáez-Trumper KELM 53 4 0 02 Jun 2023