v1v2 (latest)

A Unified Approach to Interpreting Model Predictions

22 May 2017

Papers citing "A Unified Approach to Interpreting Model Predictions"

50 / 3,925 papers shown

Title
RelatIF: Identifying Explanatory Training Examples via Relative Influence Elnaz Barshan Marc-Etienne Brunet Gintare Karolina Dziugaite TDI 141 30 0 25 Mar 2020
Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples Alejandro Barredo Arrieta Javier Del Ser AAML 118 24 0 25 Mar 2020
Towards Explainability of Machine Learning Models in Insurance Pricing Kevin Kuo Danielle L. Lupton 83 13 0 24 Mar 2020
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 244 207 0 22 Mar 2020
The value of text for small business default prediction: A deep learning approach Matthew Stevenson Christophe Mues Cristián Bravo 104 80 0 19 Mar 2020
SurvLIME: A method for explaining machine learning survival models M. Kovalev Lev V. Utkin E. Kasimov 292 91 0 18 Mar 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Wojciech Samek G. Montavon Sebastian Lapuschkin Christopher J. Anders K. Müller XAI 145 83 0 17 Mar 2020
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI L. Arras Ahmed Osman Wojciech Samek XAI AAML 97 157 0 16 Mar 2020
GAMI-Net: An Explainable Neural Network based on Generalized Additive Models with Structured Interactions Zebin Yang Aijun Zhang Agus Sudjianto FAtt 170 130 0 16 Mar 2020
Self-Supervised Discovering of Interpretable Features for Reinforcement Learning Wenjie Shi Gao Huang Shiji Song Zhuoyuan Wang Tingyu Lin Cheng Wu SSL 88 18 0 16 Mar 2020
Causality-based Explanation of Classification Outcomes Leopoldo Bertossi Jordan Li Maximilian Schleich Dan Suciu Zografoula Vagena XAI CML FAtt 255 46 0 15 Mar 2020
Measuring and improving the quality of visual explanations Agnieszka Grabska-Barwiñska XAI FAtt 141 3 0 14 Mar 2020
Customized Video QoE Estimation with Algorithm-Agnostic Transfer Learning Selim Ickin M. Fiedler K. Vandikas 44 3 0 12 Mar 2020
Building and Interpreting Deep Similarity Models Oliver Eberle Jochen Büttner Florian Kräutli K. Müller Matteo Valleriani G. Montavon 73 59 0 11 Mar 2020
Fairness by Explicability and Adversarial SHAP Learning James M. Hickey Pietro G. Di Stefano V. Vasileiou FAtt FedML 129 19 0 11 Mar 2020
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology Stefan Studer T. Bui C. Drescher A. Hanuschkin Ludwig Winkler S. Peters Klaus-Robert Muller 133 180 0 11 Mar 2020
A Supervised Machine Learning Model For Imputing Missing Boarding Stops In Smart Card Data Nadav Shalit Michael Fire Eran Ben-Elia 172 4 0 10 Mar 2020
LIMEADE: From AI Explanations to Advice Taking Benjamin Charles Germain Lee Doug Downey Kyle Lo Daniel S. Weld 177 6 0 09 Mar 2020
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation Raha Moraffah Mansooreh Karami Ruocheng Guo A. Raglin Huan Liu CML ELM XAI 98 221 0 09 Mar 2020
Explaining Knowledge Distillation by Quantifying the Knowledge Xu Cheng Zhefan Rao Yilan Chen Quanshi Zhang 81 122 0 07 Mar 2020
Link Prediction using Graph Neural Networks for Master Data Management Balaji Ganesan Srinivas Parkala Neeraj R Singh Sumit Bhatia Gayatri Mishra Matheen Ahmed Pasha Hima Patel Somashekar Naganna AI4CE 69 11 0 07 Mar 2020
Longevity Associated Geometry Identified in Satellite Images: Sidewalks, Driveways and Hiking Trails Joshua J. Levy Rebecca M. Lebeaux A. Hoen B. Christensen L. Vaickus T. A. MacKenzie 32 1 0 05 Mar 2020
ViCE: Visual Counterfactual Explanations for Machine Learning Models Oscar Gomez Steffen Holter Jun Yuan E. Bertini AAML 112 97 0 05 Mar 2020
Transformation Importance with Applications to Cosmology Chandan Singh Wooseok Ha F. Lanusse V. Boehm Jia-Wei Liu Bin Yu AI4CE 62 11 0 04 Mar 2020
Deep Learning Approach to Diabetic Retinopathy Detection B. Tymchenko Philip Marchenko D. Spodarets 61 164 0 03 Mar 2020
EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis Andrea Morichetta P. Casas Marco Mellia 48 57 0 03 Mar 2020
Explaining Groups of Points in Low-Dimensional Representations Gregory Plumb Jonathan Terhorst S. Sankararaman Ameet Talwalkar 101 31 0 03 Mar 2020
Two Decades of AI4NETS-AI/ML for Data Networks: Challenges & Research Directions P. Casas GNN 75 8 0 03 Mar 2020
Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers Giorgio Severi J. Meyer Scott E. Coull Alina Oprea AAML SILM 97 18 0 02 Mar 2020
Explainable $k$ -Means and $k$ -Medians Clustering S. Dasgupta Nave Frost Michal Moshkovitz Cyrus Rashtchian 93 155 0 28 Feb 2020
A Distributional Framework for Data Valuation Amirata Ghorbani Michael P. Kim James Zou TDI 54 133 0 27 Feb 2020
Problems with Shapley-value-based explanations as feature importance measures Indra Elizabeth Kumar Suresh Venkatasubramanian C. Scheidegger Sorelle A. Friedler TDI FAtt 115 371 0 25 Feb 2020
xAI-GAN: Enhancing Generative Adversarial Networks via Explainable AI Systems Vineel Nagisetty Laura Graves Joseph Scott Vijay Ganesh GAN DRL 65 29 0 24 Feb 2020
Neuron Shapley: Discovering the Responsible Neurons Amirata Ghorbani James Zou FAtt TDI 63 114 0 23 Feb 2020
An Investigation of Interpretability Techniques for Deep Learning in Predictive Process Analytics Catarina Moreira Renuka Sindhgatta Chun Ouyang P. Bruza Andreas Wichert 44 4 0 21 Feb 2020
FrameAxis: Characterizing Microframe Bias and Intensity with Word Embedding Haewoon Kwak Jisun An Elise Jing Yong-Yeol Ahn 65 44 0 20 Feb 2020
Interpretability of machine learning based prediction models in healthcare Gregor Stiglic Primož Kocbek Nino Fijačko Marinka Zitnik K. Verbert Leona Cilar AI4CE 77 388 0 20 Feb 2020
Estimating Training Data Influence by Tracing Gradient Descent G. Pruthi Frederick Liu Mukund Sundararajan Satyen Kale TDI 153 419 0 19 Feb 2020
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example Serena Booth Yilun Zhou Ankit J. Shah J. Shah BDL 42 2 0 19 Feb 2020
Learning Global Transparent Models Consistent with Local Contrastive Explanations Tejaswini Pedapati Avinash Balakrishnan Karthikeyan Shanmugam Amit Dhurandhar FAtt 52 0 0 19 Feb 2020
A Visual Analytics System for Multi-model Comparison on Clinical Data Predictions Yiran Li Takanori Fujiwara Y. Choi Katherine K. Kim K. Ma OOD 121 27 0 18 Feb 2020
Explainable Deep Modeling of Tabular Data using TableGraphNet G. Terejanu Jawad Chowdhury Rezaur Rashid Asif J. Chowdhury LMTD FAtt 16 3 0 12 Feb 2020
Self-explaining AI as an alternative to interpretable AI Daniel C. Elton 94 56 0 12 Feb 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence S. Raschka Joshua Patterson Corey J. Nolet AI4CE 113 505 0 12 Feb 2020
Feature Importance Estimation with Self-Attention Networks Blaž Škrlj Jannis Brugger Nada Lavrac Matej Petković FAtt MILM 88 52 0 11 Feb 2020
Decisions, Counterfactual Explanations and Strategic Behavior Stratis Tsirtsis Manuel Gomez Rodriguez 132 62 0 11 Feb 2020
Fine-grained Uncertainty Modeling in Neural Networks Rahul Soni Naresh Shah J. D. Moore UQCV 24 5 0 11 Feb 2020
Explaining Explanations: Axiomatic Feature Interactions for Deep Networks Joseph D. Janizek Pascal Sturmfels Su-In Lee FAtt 85 149 0 10 Feb 2020
Interpretable Companions for Black-Box Models Dan-qing Pan Tong Wang Satoshi Hara FaML 43 8 0 10 Feb 2020
What Would You Ask the Machine Learning Model? Identification of User Needs for Model Explanations Based on Human-Model Conversations Michal Kuzba P. Biecek HAI 55 22 0 07 Feb 2020