"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 / 4,330 papers shown

Title
Counterfactual Explanations for Neural Recommenders Khanh Tran Azin Ghazimatin Rishiraj Saha Roy AAML CML 60 65 0 11 May 2021
Leveraging Sparse Linear Layers for Debuggable Deep Networks Eric Wong Shibani Santurkar Aleksander Madry FAtt 22 88 0 11 May 2021
Rationalization through Concepts Diego Antognini Boi Faltings FAtt 27 19 0 11 May 2021
Towards Benchmarking the Utility of Explanations for Model Debugging Maximilian Idahl Lijun Lyu U. Gadiraju Avishek Anand XAI 21 18 0 10 May 2021
Do Concept Bottleneck Models Learn as Intended? Andrei Margeloiu Matthew Ashman Umang Bhatt Yanzhi Chen M. Jamnik Adrian Weller SLR 25 92 0 10 May 2021
On Guaranteed Optimal Robust Explanations for NLP Models Emanuele La Malfa A. Zbrzezny Rhiannon Michelmore Nicola Paoletti Marta Z. Kwiatkowska FAtt 19 47 0 08 May 2021
Two4Two: Evaluating Interpretable Machine Learning - A Synthetic Dataset For Controlled Experiments M. Schuessler Philipp Weiß Leon Sixt 43 3 0 06 May 2021
A Framework of Explanation Generation toward Reliable Autonomous Robots Tatsuya Sakai Kazuki Miyazawa Takato Horii Takayuki Nagai 27 8 0 06 May 2021
Explainable Autonomous Robots: A Survey and Perspective Tatsuya Sakai Takayuki Nagai 25 68 0 06 May 2021
Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification G. Chrysostomou Nikolaos Aletras 32 37 0 06 May 2021
Reliability Testing for Natural Language Processing Systems Samson Tan Chenyu You K. Baxter Araz Taeihagh G. Bennett Min-Yen Kan 22 39 0 06 May 2021
Explainable Artificial Intelligence for Human Decision-Support System in Medical Domain Samanta Knapic A. Malhi Rohit Saluja Kary Främling 18 99 0 05 May 2021
When Fair Ranking Meets Uncertain Inference Avijit Ghosh Ritam Dutt Christo Wilson 41 44 0 05 May 2021
Software Engineering for AI-Based Systems: A Survey Silverio Martínez-Fernández Justus Bogner Xavier Franch Marc Oriol Julien Siebert Adam Trendowicz Anna Maria Vollmer Stefan Wagner 29 211 0 05 May 2021
XAI-KG: knowledge graph to support XAI and decision-making in manufacturing Jože M. Rožanec Patrik Zajec K. Kenda I. Novalija B. Fortuna Dunja Mladenić 13 10 0 05 May 2021
Quality Assurance Challenges for Machine Learning Software Applications During Software Development Life Cycle Phases Md. Abdullah Al Alamin Gias Uddin 37 11 0 03 May 2021
LFI-CAM: Learning Feature Importance for Better Visual Explanation Kwang Hee Lee Chaewon Park J. Oh Nojun Kwak FAtt 37 27 0 03 May 2021
Combating small molecule aggregation with machine learning Kuan-Ting Lee An Yang Yen-Chu Lin D. Reker G. Bernardes T. Rodrigues 30 12 0 01 May 2021
Explaining a Series of Models by Propagating Shapley Values Hugh Chen Scott M. Lundberg Su-In Lee TDI FAtt 32 125 0 30 Apr 2021
Explanation-Based Human Debugging of NLP Models: A Survey Piyawat Lertvittayakumjorn Francesca Toni LRM 47 79 0 30 Apr 2021
Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation Markt. Keane Eoin M. Kenny M. Temraz Derek Greene Barry Smyth 19 5 0 29 Apr 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 13 58 0 29 Apr 2021
A First Look: Towards Explainable TextVQA Models via Visual and Textual Explanations Varun Nagaraj Rao Xingjian Zhen K. Hovsepian Mingwei Shen 37 18 0 29 Apr 2021
Do Feature Attribution Methods Correctly Attribute Features? Yilun Zhou Serena Booth Marco Tulio Ribeiro J. Shah FAtt XAI 43 132 0 27 Apr 2021
From Human Explanation to Model Interpretability: A Framework Based on Weight of Evidence David Alvarez-Melis Harmanpreet Kaur Hal Daumé Hanna M. Wallach Jennifer Wortman Vaughan FAtt 56 28 0 27 Apr 2021
Metamorphic Detection of Repackaged Malware S. Singh Gail E. Kaiser 24 8 0 27 Apr 2021
LCS-DIVE: An Automated Rule-based Machine Learning Visualization Pipeline for Characterizing Complex Associations in Classification Robert F. Zhang Rachael Stolzenberg-Solomon Shannon M. Lynch Ryan J. Urbanowicz 26 10 0 26 Apr 2021
TrustyAI Explainability Toolkit Rob Geada Tommaso Teofili Rui Vieira Rebecca Whitworth Daniele Zonca 19 2 0 26 Apr 2021
Bridging observation, theory and numerical simulation of the ocean using Machine Learning Maike Sonnewald Redouane Lguensat Daniel C. Jones P. Dueben J. Brajard Venkatramani Balaji AI4Cl AI4CE 51 100 0 26 Apr 2021
Weakly Supervised Multi-task Learning for Concept-based Explainability Catarina Belém Vladimir Balayan Pedro Saleiro P. Bizarro 86 10 0 26 Apr 2021
Towards Rigorous Interpretations: a Formalisation of Feature Attribution Darius Afchar Romain Hennequin Vincent Guigue FAtt 40 20 0 26 Apr 2021
Attention vs non-attention for a Shapley-based explanation method T. Kersten Hugh Mee Wong Jaap Jumelet Dieuwke Hupkes 49 4 0 26 Apr 2021
Explainable AI For COVID-19 CT Classifiers: An Initial Comparison Study Qinghao Ye Jun Xia Guang Yang 31 57 0 25 Apr 2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case Natalia Díaz Rodríguez Alberto Lamas Jules Sanchez Gianni Franchi Ivan Donadello Siham Tabik David Filliat P. Cruz Rosana Montes Francisco Herrera 54 77 0 24 Apr 2021
Tracking Peaceful Tractors on Social Media -- XAI-enabled analysis of Red Fort Riots 2021 A. Agarwal Basant Agarwal 8 1 0 24 Apr 2021
Towards Trustworthy Deception Detection: Benchmarking Model Robustness across Domains, Modalities, and Languages M. Glenski Ellyn Ayton Robin Cosbey Dustin L. Arendt Svitlana Volkova 40 7 0 23 Apr 2021
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities Julia Rosenzweig Joachim Sicking Sebastian Houben Michael Mock Maram Akila AAML 42 3 0 22 Apr 2021
Interpretation of multi-label classification models using shapley values Shikun Chen FAtt TDI 44 9 0 21 Apr 2021
Revisiting The Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis Samuele Poppi Marcella Cornia Lorenzo Baraldi Rita Cucchiara FAtt 131 33 0 20 Apr 2021
Bayesian subset selection and variable importance for interpretable prediction and classification Daniel R. Kowal 28 10 0 20 Apr 2021
Robustness Tests of NLP Machine Learning Models: Search and Semantically Replace Rahul Singh Karan Jindal Yufei Yu Hanyu Yang Tarun Joshi Matthew A. Campbell Wayne B. Shoumaker 58 2 0 20 Apr 2021
Interpretability in deep learning for finance: a case study for the Heston model D. Brigo Xiaoshan Huang A. Pallavicini Haitz Sáez de Ocáriz Borde FAtt 22 8 0 19 Apr 2021
Improving Attribution Methods by Learning Submodular Functions Piyushi Manupriya Tarun Ram Menta S. Jagarlapudi V. Balasubramanian TDI 35 6 0 19 Apr 2021
DA-DGCEx: Ensuring Validity of Deep Guided Counterfactual Explanations With Distribution-Aware Autoencoder Loss Jokin Labaien E. Zugasti Xabier De Carlos CML 38 4 0 19 Apr 2021
SurvNAM: The machine learning survival model explanation Lev V. Utkin Egor D. Satyukov A. Konstantinov AAML FAtt 44 28 0 18 Apr 2021
GraphSVX: Shapley Value Explanations for Graph Neural Networks Alexandre Duval Fragkiskos D. Malliaros FAtt 22 87 0 18 Apr 2021
On the Sensitivity and Stability of Model Interpretations in NLP Fan Yin Zhouxing Shi Cho-Jui Hsieh Kai-Wei Chang FAtt 27 33 0 18 Apr 2021
Case-based Reasoning for Natural Language Queries over Knowledge Bases Rajarshi Das Manzil Zaheer Dung Ngoc Thai Ameya Godbole Ethan Perez Jay Yoon Lee Lizhen Tan L. Polymenakos Andrew McCallum 36 163 0 18 Apr 2021
Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning Xiang Zhou Yixin Nie Joey Tianyi Zhou UQCV 22 28 0 18 Apr 2021
Flexible Instance-Specific Rationalization of NLP Models G. Chrysostomou Nikolaos Aletras 36 14 0 16 Apr 2021