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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
DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers Anna Langedijk Hosein Mohebbi Gabriele Sarti Willem H. Zuidema Jaap Jumelet 95 12 0 05 Oct 2023
Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally Shawqi Al-Maliki Adnan Qayyum Hassan Ali M. Abdallah Junaid Qadir D. Hoang Dusit Niyato Ala I. Al-Fuqaha AAML 121 3 0 05 Oct 2023
Redefining Digital Health Interfaces with Large Language Models F. Imrie Paulius Rauba M. Schaar AI4MH LM&MA 65 3 0 05 Oct 2023
The Blame Problem in Evaluating Local Explanations, and How to Tackle it Amir Hossein Akhavan Rahnama ELM FAtt 79 5 0 05 Oct 2023
A Survey of GPT-3 Family Large Language Models Including ChatGPT and GPT-4 Katikapalli Subramanyam Kalyan LM&MA AI4CE LRM AILaw ELM 131 248 0 04 Oct 2023
Hate Speech Detection in Limited Data Contexts using Synthetic Data Generation Aman Khullar Daniel K. Nkemelu Cuong V. Nguyen Michael L. Best 77 5 0 04 Oct 2023
Improving Knowledge Distillation with Teacher's Explanation S. Chowdhury Ben Liang A. Tizghadam Ilijc Albanese FAtt 28 0 0 04 Oct 2023
Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data Danrui Qi Jinglin Peng Yongjun He Jiannan Wang TPM 81 3 0 04 Oct 2023
Towards Feasible Counterfactual Explanations: A Taxonomy Guided Template-based NLG Method Pedram Salimi Nirmalie Wiratunga D. Corsar A. Wijekoon 59 1 0 03 Oct 2023
Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving Long Chen Oleg Sinavski Jan Hünermann Alice Karnsund Andrew James Willmott Danny Birch Daniel Maund Jamie Shotton MLLM 127 210 0 03 Oct 2023
CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery Yuxiao Cheng Ziqian Wang Tingxiong Xiao Qin Zhong J. Suo Kunlun He AI4TS CML 91 17 0 03 Oct 2023
Deciphering Diagnoses: How Large Language Models Explanations Influence Clinical Decision Making D. Umerenkov Galina Zubkova A. Nesterov ELM 57 4 0 03 Oct 2023
AI-based association analysis for medical imaging using latent-space geometric confounder correction Xianjing Liu Yue Liu Meike W. Vernooij E. Wolvius Gennady V. Roshchupkin Esther E. Bron MedIm 119 0 0 03 Oct 2023
A Framework for Interpretability in Machine Learning for Medical Imaging Alan Q. Wang Batuhan K. Karaman Heejong Kim Jacob Rosenthal Rachit Saluja Sean I. Young M. Sabuncu AI4CE 130 13 0 02 Oct 2023
Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations Asiful Arefeen Hassan Ghasemzadeh 61 3 0 02 Oct 2023
Defending Against Authorship Identification Attacks Haining Wang 58 2 0 02 Oct 2023
Co-audit: tools to help humans double-check AI-generated content Andrew D. Gordon Carina Negreanu J. Cambronero Rasika Chakravarthy Ian Drosos ... Hannah Richardson Advait Sarkar Stephanie Simmons Jack Williams Ben Zorn 88 14 0 02 Oct 2023
DINE: Dimensional Interpretability of Node Embeddings Simone Piaggesi Megha Khosla Andre' Panisson Avishek Anand 71 6 0 02 Oct 2023
Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals Y. Gat Nitay Calderon Amir Feder Alexander Chapanin Amit Sharma Roi Reichart 133 36 0 01 Oct 2023
LaPLACE: Probabilistic Local Model-Agnostic Causal Explanations Sein Minn XAI FAtt CML 25 1 0 01 Oct 2023
Black-box Attacks on Image Activity Prediction and its Natural Language Explanations Alina Elena Baia Valentina Poggioni Andrea Cavallaro AAML 58 1 0 30 Sep 2023
A PSO Based Method to Generate Actionable Counterfactuals for High Dimensional Data Shashank Shekhar Asif Salim Adesh Bansode Vivaswan Jinturkar Anirudha Nayak 46 0 0 30 Sep 2023
Refutation of Shapley Values for XAI -- Additional Evidence Xuanxiang Huang Sasha Rubin AAML 80 4 0 30 Sep 2023
Adversarial Explainability: Utilizing Explainable Machine Learning in Bypassing IoT Botnet Detection Systems M. Alani Atefeh Mashatan Ali Miri AAML 45 1 0 29 Sep 2023
Age Group Discrimination via Free Handwriting Indicators Eugenio Lomurno Simone Toffoli D. D. Febbo Matteo Matteucci Francesca Lunardini Simona Ferrante 57 1 0 29 Sep 2023
Prototype Generation: Robust Feature Visualisation for Data Independent Interpretability Ziyin Li Bao Feng 64 1 0 29 Sep 2023
Dynamic Interpretability for Model Comparison via Decision Rules Adam Rida Marie-Jeanne Lesot Junsheng Wang Liyan Zhang 50 0 0 29 Sep 2023
Tell Me a Story! Narrative-Driven XAI with Large Language Models David Martens James Hinns Camille Dams Mark Vergouwen Theodoros Evgeniou 106 7 0 29 Sep 2023
Reliability Quantification of Deep Reinforcement Learning-based Control Hitoshi Yoshioka Hirotada Hashimoto 55 0 0 29 Sep 2023
Discrete-Choice Model with Generalized Additive Utility Network Tomoki Nishi Yusuke Hara 137 0 0 29 Sep 2023
Axiomatic Aggregations of Abductive Explanations Gagan Biradar Yacine Izza Elita Lobo Vignesh Viswanathan Yair Zick FAtt 108 6 0 29 Sep 2023
Beyond Tides and Time: Machine Learning Triumph in Water Quality Yinpu Li Siqi Mao Yaping Yuan Ziren Wang Yixin Kang Yuanxin Yao 27 0 0 29 Sep 2023
ONNXExplainer: an ONNX Based Generic Framework to Explain Neural Networks Using Shapley Values Yong Zhao Runxin He Nicholas Kersting Can Liu Shubham Agrawal Chiranjeet Chetia Yu Gu FAtt TDI 107 0 0 29 Sep 2023
On Generating Explanations for Reinforcement Learning Policies: An Empirical Study Mikihisa Yuasa Huy T. Tran R. Sreenivas FAtt LRM 151 1 0 29 Sep 2023
Granularity at Scale: Estimating Neighborhood Socioeconomic Indicators from High-Resolution Orthographic Imagery and Hybrid Learning Ethan Brewer Giovani Valdrighi Antonio Longa Joao Rulff Andrea Passerini Zhonghui Lv Manfred Jaeger Claudio Silva 42 1 0 28 Sep 2023
Towards Faithful Neural Network Intrinsic Interpretation with Shapley Additive Self-Attribution Ying Sun Hengshu Zhu Huixia Xiong TDI FAtt MILM 98 1 0 27 Sep 2023
Neural Stochastic Differential Equations for Robust and Explainable Analysis of Electromagnetic Unintended Radiated Emissions Sumit Kumar Jha Susmit Jha Rickard Ewetz Alvaro Velasquez 76 2 0 27 Sep 2023
DeepROCK: Error-controlled interaction detection in deep neural networks Winston Chen William Stafford Noble Y. Lu 67 1 0 26 Sep 2023
Explaining Deep Face Algorithms through Visualization: A Survey Thrupthi Ann S. M. I. C. V. Balasubramanian M. Jawahar CVBM 61 1 0 26 Sep 2023
Linked shrinkage to improve estimation of interaction effects in regression models Mark van de Wiel Matteo Amestoy J. Hoogland 27 1 0 25 Sep 2023
May I Ask a Follow-up Question? Understanding the Benefits of Conversations in Neural Network Explainability Tong Zhang Xiaoyu Yang Boyang Albert Li 71 4 0 25 Sep 2023
Explainable Machine Learning for ICU Readmission Prediction Alex G. C. de Sá Daniel J. Gould Anna Fedyukova M. Nicholas L. Dockrell ... David Pilcher Daniel Capurro David B. Ascher K. El-Khawas Douglas E. V. Pires 95 1 0 25 Sep 2023
Multiple Different Black Box Explanations for Image Classifiers Hana Chockler D. A. Kelly Daniel Kroening FAtt 126 0 0 25 Sep 2023
The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance J. Donnelly Srikar Katta Cynthia Rudin E. Browne FAtt 121 18 0 24 Sep 2023
Enhancing Prediction and Analysis of UK Road Traffic Accident Severity Using AI: Integration of Machine Learning, Econometric Techniques, and Time Series Forecasting in Public Health Research Md. Abu Sufian Jayasree Varadarajan 49 7 0 23 Sep 2023
Towards Attributions of Input Variables in a Coalition Xinhao Zheng Huiqi Deng Bo Fan Quanshi Zhang 63 1 0 23 Sep 2023
Towards an MLOps Architecture for XAI in Industrial Applications Leonhard Faubel Thomas Woudsma Leila Methnani Amir Ghorbani Ghezeljhemeidan Fabian Buelow ... Willem D. van Driel Benjamin Kloepper Andreas Theodorou Mohsen Nosratinia Magnus Bång 56 5 0 22 Sep 2023
Health diagnosis and recuperation of aged Li-ion batteries with data analytics and equivalent circuit modeling R. I. Made Jing Lin Jintao Zhang Yu Zhang L. Moh ... Ning Ding S. Y. Chiam Edwin Khoo Xuesong Yin Guangyuan Wesley Zheng 56 7 0 21 Sep 2023
Quantifying Feature Importance of Games and Strategies via Shapley Values Satoru Fujii FAtt 79 0 0 21 Sep 2023
Predictability and Comprehensibility in Post-Hoc XAI Methods: A User-Centered Analysis Anahid N. Jalali Bernhard Haslhofer Simone Kriglstein Andreas Rauber FAtt 104 5 0 21 Sep 2023