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"Why Should I Trust You?": Explaining the Predictions of Any Classifier

16 February 2016

Papers citing ""Why Should I Trust You?": Explaining the Predictions of Any Classifier"

50 / 4,966 papers shown

Title
Transparency and Explanation in Deep Reinforcement Learning Neural Networks R. Iyer Yuezhang Li Huao Li M. Lewis R. Sundar Katia Sycara 51 175 0 17 Sep 2018
Explainable time series tweaking via irreversible and reversible temporal transformations Isak Karlsson J. Rebane P. Papapetrou Aristides Gionis AI4TS 49 29 0 13 Sep 2018
SafeCity: Understanding Diverse Forms of Sexual Harassment Personal Stories Sweta Karlekar Joey Tianyi Zhou 43 36 0 13 Sep 2018
Fair lending needs explainable models for responsible recommendation Jiahao Chen FaML SILM 51 27 0 12 Sep 2018
Neural-Augmented Static Analysis of Android Communication Jinman Zhao Aws Albarghouthi Vaibhav Rastogi S. Jha Damien Octeau HAI 58 21 0 11 Sep 2018
Assessing Composition in Sentence Vector Representations Allyson Ettinger Ahmed Elgohary C. Phillips Philip Resnik CoGe 76 78 0 11 Sep 2018
Automated Test Generation to Detect Individual Discrimination in AI Models Aniya Aggarwal P. Lohia Seema Nagar Kuntal Dey Diptikalyan Saha 71 41 0 10 Sep 2018
Interpreting Neural Networks With Nearest Neighbors Eric Wallace Shi Feng Jordan L. Boyd-Graber AAML FAtt MILM 136 54 0 08 Sep 2018
Faithful Multimodal Explanation for Visual Question Answering Jialin Wu Raymond J. Mooney 77 91 0 08 Sep 2018
DeepPINK: reproducible feature selection in deep neural networks Yang Young Lu Yingying Fan Jinchi Lv William Stafford Noble FAtt 178 124 0 04 Sep 2018
Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts Samuel Carton Qiaozhu Mei Paul Resnick FAtt AAML 124 34 0 01 Sep 2018
Learning End-to-end Autonomous Driving using Guided Auxiliary Supervision Ashish Mehta Adithya Subramanian A. Subramanian 58 35 0 30 Aug 2018
An Operation Sequence Model for Explainable Neural Machine Translation Felix Stahlberg Danielle Saunders Bill Byrne LRM MILM 77 29 0 29 Aug 2018
Unknown Examples & Machine Learning Model Generalization Yeounoh Chung P. Haas E. Upfal Tim Kraska OOD 112 32 0 24 Aug 2018
Approximation Trees: Statistical Stability in Model Distillation Yichen Zhou Zhengze Zhou Giles Hooker 143 23 0 22 Aug 2018
Capsule Networks for Protein Structure Classification and Prediction D. R. D. Jesus Julian Cuevas Wilson Rivera S. Crivelli GNN 75 16 0 22 Aug 2018
Shedding Light on Black Box Machine Learning Algorithms: Development of an Axiomatic Framework to Assess the Quality of Methods that Explain Individual Predictions Milo Honegger 52 35 0 15 Aug 2018
Explaining the Unique Nature of Individual Gait Patterns with Deep Learning Fabian Horst Sebastian Lapuschkin Wojciech Samek K. Müller W. Schöllhorn AI4CE 63 213 0 13 Aug 2018
iNNvestigate neural networks! Maximilian Alber Sebastian Lapuschkin P. Seegerer Miriam Hagele Kristof T. Schütt G. Montavon Wojciech Samek K. Müller Sven Dähne Pieter-Jan Kindermans 76 348 0 13 Aug 2018
Text Classification using Capsules Jaeyoung Kim Sion Jang Sungchul Choi Eunjeong Lucy Park 68 162 0 12 Aug 2018
L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data Jianbo Chen Le Song Martin J. Wainwright Michael I. Jordan FAtt TDI 115 217 0 08 Aug 2018
Using Machine Learning Safely in Automotive Software: An Assessment and Adaption of Software Process Requirements in ISO 26262 Rick Salay Krzysztof Czarnecki 99 70 0 05 Aug 2018
Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME Farhad Shakerin G. Gupta 16 17 0 02 Aug 2018
Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models Jiawei Zhang Yang Wang Piero Molino Lezhi Li D. Ebert FAtt 55 204 0 01 Aug 2018
Techniques for Interpretable Machine Learning Mengnan Du Ninghao Liu Helen Zhou FaML 101 1,094 0 31 Jul 2018
Regional Multi-scale Approach for Visually Pleasing Explanations of Deep Neural Networks Dasom Seo Kanghan Oh Il-Seok Oh FAtt 46 23 0 31 Jul 2018
Grounding Visual Explanations Lisa Anne Hendricks Ronghang Hu Trevor Darrell Zeynep Akata FAtt 59 230 0 25 Jul 2018
Contrastive Explanations for Reinforcement Learning in terms of Expected Consequences J. V. D. Waa J. Diggelen K. Bosch Mark Antonius Neerincx OffRL 73 109 0 23 Jul 2018
Explainable Neural Computation via Stack Neural Module Networks Ronghang Hu Jacob Andreas Trevor Darrell Kate Saenko LRM OCL 106 199 0 23 Jul 2018
Knowledge-based Transfer Learning Explanation Jiaoyan Chen Freddy Lecue Jeff Z. Pan Ian Horrocks Huajun Chen 58 42 0 22 Jul 2018
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time Feargus Pendlebury Fabio Pierazzi Roberto Jordaney Johannes Kinder Lorenzo Cavallaro 94 360 0 20 Jul 2018
Improving Simple Models with Confidence Profiles Amit Dhurandhar Karthikeyan Shanmugam Ronny Luss Peder Olsen 71 46 0 19 Jul 2018
Take a Look Around: Using Street View and Satellite Images to Estimate House Prices Stephen Law Brooks Paige Chris Russell 60 136 0 18 Jul 2018
Machine Learning Interpretability: A Science rather than a tool Abdul Karim Avinash Mishra M. A. Hakim Newton A. Sattar 44 6 0 18 Jul 2018
RuleMatrix: Visualizing and Understanding Classifiers with Rules Yao Ming Huamin Qu E. Bertini FAtt 77 215 0 17 Jul 2018
Layer-wise Relevance Propagation for Explainable Recommendations Homanga Bharadhwaj FAtt 37 8 0 17 Jul 2018
Automated Data Slicing for Model Validation:A Big data - AI Integration Approach Yeounoh Chung Tim Kraska N. Polyzotis Ki Hyun Tae Steven Euijong Whang 119 131 0 16 Jul 2018
Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees Guiliang Liu Oliver Schulte Wang Zhu Qingcan Li AI4CE 52 136 0 16 Jul 2018
A Game-Based Approximate Verification of Deep Neural Networks with Provable Guarantees Min Wu Matthew Wicker Wenjie Ruan Xiaowei Huang Marta Kwiatkowska AAML 91 111 0 10 Jul 2018
AudioMNIST: Exploring Explainable Artificial Intelligence for Audio Analysis on a Simple Benchmark Sören Becker Johanna Vielhaben M. Ackermann Klaus-Robert Muller Sebastian Lapuschkin Wojciech Samek XAI 113 100 0 09 Jul 2018
Model Agnostic Supervised Local Explanations Gregory Plumb Denali Molitor Ameet Talwalkar FAtt LRM MILM 162 200 0 09 Jul 2018
Learning concise representations for regression by evolving networks of trees William La Cava T. Singh James Taggart S. Suri J. Moore 69 58 0 03 Jul 2018
Logical Explanations for Deep Relational Machines Using Relevance Information A. Srinivasan Lovekesh Vig Michael Bain FAtt 50 15 0 02 Jul 2018
Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract) Lisa Anne Hendricks Kaylee Burns Kate Saenko Trevor Darrell Anna Rohrbach 139 480 0 02 Jul 2018
Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities Marinka Zitnik Francis Nguyen Bo Wang J. Leskovec Anna Goldenberg Michael M. Hoffman LM&MA AI4CE 67 466 0 30 Jun 2018
Sparse Three-parameter Restricted Indian Buffet Process for Understanding International Trade Melanie F. Pradier Viktor Stojkoski Zoran Utkovski L. Kocarev Fernando Perez-Cruz 46 3 0 29 Jun 2018
Optimal Piecewise Local-Linear Approximations Kartik Ahuja W. Zame M. Schaar FAtt 46 1 0 27 Jun 2018
Deep Feature Factorization For Concept Discovery Edo Collins R. Achanta Sabine Süsstrunk 78 92 0 26 Jun 2018
Open the Black Box Data-Driven Explanation of Black Box Decision Systems D. Pedreschi F. Giannotti Riccardo Guidotti A. Monreale Luca Pappalardo Salvatore Ruggieri Franco Turini 114 38 0 26 Jun 2018
xGEMs: Generating Examplars to Explain Black-Box Models Shalmali Joshi Oluwasanmi Koyejo Been Kim Joydeep Ghosh MLAU 70 40 0 22 Jun 2018