"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 / 4,325 papers shown

Title
Supervising Model Attention with Human Explanations for Robust Natural Language Inference Joe Stacey Yonatan Belinkov Marek Rei 30 45 0 16 Apr 2021
MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks Danilo Numeroso D. Bacciu 29 38 0 16 Apr 2021
On the Complexity of SHAP-Score-Based Explanations: Tractability via Knowledge Compilation and Non-Approximability Results Marcelo Arenas Pablo Barceló Leopoldo Bertossi Mikaël Monet FAtt 29 35 0 16 Apr 2021
Faithful and Plausible Explanations of Medical Code Predictions Zach Wood-Doughty Isabel Cachola Mark Dredze 14 2 0 16 Apr 2021
NICE: An Algorithm for Nearest Instance Counterfactual Explanations Dieter Brughmans Pieter Leyman David Martens 40 64 0 15 Apr 2021
Do Deep Neural Networks Forget Facial Action Units? -- Exploring the Effects of Transfer Learning in Health Related Facial Expression Recognition Pooja Prajod Dominik Schiller Tobias Huber Elisabeth André CVBM 19 8 0 15 Apr 2021
What Makes a Scientific Paper be Accepted for Publication? Panagiotis Fytas Georgios Rizos Lucia Specia 21 10 0 14 Apr 2021
To Trust or Not to Trust a Regressor: Estimating and Explaining Trustworthiness of Regression Predictions K. D. Bie Ana Lucic H. Haned FAtt 6 11 0 14 Apr 2021
Enabling Machine Learning Algorithms for Credit Scoring -- Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models P. Biecek M. Chlebus Janusz Gajda Alicja Gosiewska A. Kozak Dominik Ogonowski Jakub Sztachelski P. Wojewnik 20 10 0 14 Apr 2021
A Novel Approach to Curiosity and Explainable Reinforcement Learning via Interpretable Sub-Goals C. V. Rossum Candice Feinberg Adam Abu Shumays Kyle Baxter Benedek Bartha GAN LLMAG LRM 26 1 0 14 Apr 2021
Towards an Interpretable Data-driven Trigger System for High-throughput Physics Facilities C. Mahesh Kristin Dona David W. Miller Yuxin Chen AI4CE 13 2 0 14 Apr 2021
Fast Hierarchical Games for Image Explanations Jacopo Teneggi Alexandre Luster Jeremias Sulam FAtt 39 19 0 13 Apr 2021
LioNets: A Neural-Specific Local Interpretation Technique Exploiting Penultimate Layer Information Ioannis Mollas Nick Bassiliades Grigorios Tsoumakas 31 7 0 13 Apr 2021
Conclusive Local Interpretation Rules for Random Forests Ioannis Mollas Nick Bassiliades Grigorios Tsoumakas FaML FAtt 34 17 0 13 Apr 2021
Understanding Prediction Discrepancies in Machine Learning Classifiers X. Renard Thibault Laugel Marcin Detyniecki FaML 60 13 0 12 Apr 2021
Towards a Collective Agenda on AI for Earth Science Data Analysis D. Tuia R. Roscher Jan Dirk Wegner Nathan Jacobs Xiaoxiang Zhu Gustau Camps-Valls AI4CE 44 68 0 11 Apr 2021
Connecting Attributions and QA Model Behavior on Realistic Counterfactuals Xi Ye Rohan Nair Greg Durrett 24 24 0 09 Apr 2021
Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks Hanjie Chen Song Feng Jatin Ganhotra H. Wan Chulaka Gunasekara Sachindra Joshi Yangfeng Ji 34 18 0 09 Apr 2021
Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML S. Narkar Yunfeng Zhang Q. V. Liao Dakuo Wang Justin D. Weisz 24 25 0 09 Apr 2021
Individual Explanations in Machine Learning Models: A Survey for Practitioners Alfredo Carrillo Luis F. Cantú Alejandro Noriega FaML 24 15 0 09 Apr 2021
An Empirical Comparison of Instance Attribution Methods for NLP Pouya Pezeshkpour Sarthak Jain Byron C. Wallace Sameer Singh TDI 18 35 0 09 Apr 2021
GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patterns Piyawat Lertvittayakumjorn Leshem Choshen Eyal Shnarch Francesca Toni 53 7 0 08 Apr 2021
Explainability-based Backdoor Attacks Against Graph Neural Networks Jing Xu Minhui Xue Xue S. Picek 31 74 0 08 Apr 2021
How Transferable are Reasoning Patterns in VQA? Corentin Kervadec Theo Jaunet G. Antipov M. Baccouche Romain Vuillemot Christian Wolf LRM 23 28 0 08 Apr 2021
Question-Driven Design Process for Explainable AI User Experiences Q. V. Liao Milena Pribić Jaesik Han Sarah Miller Daby M. Sow 20 52 0 08 Apr 2021
Triplot: model agnostic measures and visualisations for variable importance in predictive models that take into account the hierarchical correlation structure Katarzyna Pekala Katarzyna Wo'znica P. Biecek FAtt 8 3 0 07 Apr 2021
Adversarial Robustness Guarantees for Gaussian Processes A. Patané Arno Blaas Luca Laurenti L. Cardelli Stephen J. Roberts Marta Z. Kwiatkowska GP AAML 98 9 0 07 Apr 2021
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering Corentin Dancette Rémi Cadène Damien Teney Matthieu Cord CML 33 76 0 07 Apr 2021
Hollow-tree Super: a directional and scalable approach for feature importance in boosted tree models S. Doyen Hugh Taylor P. Nicholas L. Crawford I. Young M. Sughrue 12 12 0 07 Apr 2021
Deep Interpretable Models of Theory of Mind Ini Oguntola Dana Hughes Katia Sycara HAI 33 26 0 07 Apr 2021
Sparse Oblique Decision Trees: A Tool to Understand and Manipulate Neural Net Features Suryabhan Singh Hada Miguel Á. Carreira-Perpiñán Arman Zharmagambetov 15 17 0 07 Apr 2021
Why? Why not? When? Visual Explanations of Agent Behavior in Reinforcement Learning Aditi Mishra Utkarsh Soni Jinbin Huang Chris Bryan OffRL 22 23 0 06 Apr 2021
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations Archit Rathore Sunipa Dev J. M. Phillips Vivek Srikumar Yan Zheng Chin-Chia Michael Yeh Junpeng Wang Wei Zhang Bei Wang 46 10 0 06 Apr 2021
Towards a Rigorous Evaluation of Explainability for Multivariate Time Series Rohit Saluja A. Malhi Samanta Knapic Kary Främling C. Cavdar XAI AI4TS 23 19 0 06 Apr 2021
White Box Methods for Explanations of Convolutional Neural Networks in Image Classification Tasks Meghna P. Ayyar J. Benois-Pineau A. Zemmari FAtt 30 17 0 06 Apr 2021
A Novel Approach for Semiconductor Etching Process with Inductive Biases Sanghoon Myung Hyunjae Jang Byungseon Choi Jisu Ryu Hyuk Kim Sang Wuk Park C. Jeong Daesin Kim 25 6 0 06 Apr 2021
Contrastive Explanations for Explaining Model Adaptations André Artelt Fabian Hinder Valerie Vaquet Robert Feldhans Barbara Hammer 57 4 0 06 Apr 2021
Shapley Explanation Networks Rui Wang Xiaoqian Wang David I. Inouye TDI FAtt 32 44 0 06 Apr 2021
Explainability-aided Domain Generalization for Image Classification Robin M. Schmidt FAtt OOD 27 1 0 05 Apr 2021
Exploring the Role of BERT Token Representations to Explain Sentence Probing Results Hosein Mohebbi Ali Modarressi Mohammad Taher Pilehvar MILM 27 25 0 03 Apr 2021
Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing Ioannis Kakogeorgiou Konstantinos Karantzalos XAI 28 118 0 03 Apr 2021
STARdom: an architecture for trusted and secure human-centered manufacturing systems Jože M. Rožanec Patrik Zajec K. Kenda I. Novalija B. Fortuna ... Diego Reforgiato Recupero D. Kyriazis G. Sofianidis Spyros Theodoropoulos John Soldatos 37 7 0 02 Apr 2021
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey Thomas Rojat Raphael Puget David Filliat Javier Del Ser R. Gelin Natalia Díaz Rodríguez XAI AI4TS 49 128 0 02 Apr 2021
Coalitional strategies for efficient individual prediction explanation Gabriel Ferrettini Elodie Escriva Julien Aligon Jean-Baptiste Excoffier C. Soulé-Dupuy 33 17 0 01 Apr 2021
Reconciling the Discrete-Continuous Divide: Towards a Mathematical Theory of Sparse Communication André F. T. Martins 35 1 0 01 Apr 2021
Anomaly-Based Intrusion Detection by Machine Learning: A Case Study on Probing Attacks to an Institutional Network E. Tufan C. Tezcan Cengiz Acartürk 26 29 0 31 Mar 2021
Contrastive Explanations of Plans Through Model Restrictions Benjamin Krarup Senka Krivic Daniele Magazzeni D. Long Michael Cashmore David E. Smith 27 32 0 29 Mar 2021
Efficient Explanations from Empirical Explainers Robert Schwarzenberg Nils Feldhus Sebastian Möller FAtt 37 9 0 29 Mar 2021
Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems Sophia J. Abraham Zachariah Carmichael Sreya Banerjee Rosaura G. VidalMata Ankit Agrawal M. N. A. Islam Walter J. Scheirer J. Cleland-Huang 34 19 0 28 Mar 2021
A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms Ana Lucic Madhulika Srikumar Umang Bhatt Alice Xiang Ankur Taly Q. V. Liao Maarten de Rijke 28 5 0 27 Mar 2021