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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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Information-theoretic Evolution of Model Agnostic Global Explanations Sukriti Verma Nikaash Puri Piyush B. Gupta Balaji Krishnamurthy FAtt 64 0 0 14 May 2021
Quantified Sleep: Machine learning techniques for observational n-of-1 studies G. Truda AI4TS 19 2 0 14 May 2021
Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations Matthew Watson Bashar Awwad Shiekh Hasan Noura Al Moubayed OOD 56 23 0 14 May 2021
SAT-Based Rigorous Explanations for Decision Lists Alexey Ignatiev Sasha Rubin XAI 65 46 0 14 May 2021
Discovering the Rationale of Decisions: Experiments on Aligning Learning and Reasoning Cor Steging S. Renooij Bart Verheij 40 21 0 14 May 2021
Biometrics: Trust, but Verify Anil K. Jain Debayan Deb Joshua J. Engelsma FaML 91 84 0 14 May 2021
Bias, Fairness, and Accountability with AI and ML Algorithms Neng-Zhi Zhou Zach Zhang V. Nair Harsh Singhal Jie Chen Agus Sudjianto FaML 125 9 0 13 May 2021
Sanity Simulations for Saliency Methods Joon Sik Kim Gregory Plumb Ameet Talwalkar FAtt 104 18 0 13 May 2021
Causally motivated Shortcut Removal Using Auxiliary Labels Maggie Makar Ben Packer D. Moldovan Davis W. Blalock Yoni Halpern Alexander DÁmour OOD CML 89 75 0 13 May 2021
Explainable Machine Learning for Fraud Detection I. Psychoula A. Gutmann Pradip Mainali Sharon H. Lee Paul Dunphy F. Petitcolas FaML 139 37 0 13 May 2021
Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey Xiaoyu Zhang Chao Chen Yi Xie Xiaofeng Chen Jun Zhang Yang Xiang FedML 58 7 0 13 May 2021
A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data M. Chieregato Fabio Frangiamore M. Morassi C. Baresi S. Nici C. Bassetti C. Bnà M. Galelli 111 75 0 13 May 2021
What's wrong with this video? Comparing Explainers for Deepfake Detection Samuele Pino Mark J. Carman Paolo Bestagini AAML 44 8 0 12 May 2021
SimNet: Accurate and High-Performance Computer Architecture Simulation using Deep Learning Lingda Li Santosh Pandey T. Flynn Hang Liu Noel Wheeler A. Hoisie 46 8 0 12 May 2021
Is Gender "In-the-Wild" Inference Really a Solved Problem? Tiago Roxo Hugo Manuel Proença CVBM 60 4 0 12 May 2021
Counterfactual Explanations for Neural Recommenders Khanh Tran Azin Ghazimatin Rishiraj Saha Roy AAML CML 112 66 0 11 May 2021
Rationalization through Concepts Diego Antognini Boi Faltings FAtt 124 22 0 11 May 2021
DEEMD: Drug Efficacy Estimation against SARS-CoV-2 based on cell Morphology with Deep multiple instance learning M. Saberian Kathleen P. Moriarty A. Olmstead Christian Hallgrimson Franccois Jean I. Nabi Maxwell W. Libbrecht Ghassan Hamarneh 59 12 0 10 May 2021
The $s$ -value: evaluating stability with respect to distributional shifts Suyash Gupta Dominik Rothenhausler 108 16 0 07 May 2021
A Framework of Explanation Generation toward Reliable Autonomous Robots Tatsuya Sakai Kazuki Miyazawa Takato Horii Takayuki Nagai 85 8 0 06 May 2021
Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification G. Chrysostomou Nikolaos Aletras 87 38 0 06 May 2021
Explainable Artificial Intelligence for Human Decision-Support System in Medical Domain Samanta Knapic A. Malhi Rohit Saluja Kary Främling 29 102 0 05 May 2021
When Fair Ranking Meets Uncertain Inference Avijit Ghosh Ritam Dutt Christo Wilson 117 46 0 05 May 2021
Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning Matthew Watson Noura Al Moubayed AAML MedIm 50 22 0 05 May 2021
Explaining a Series of Models by Propagating Shapley Values Hugh Chen Scott M. Lundberg Su-In Lee TDI FAtt 110 139 0 30 Apr 2021
Explanation-Based Human Debugging of NLP Models: A Survey Piyawat Lertvittayakumjorn Francesca Toni LRM 150 80 0 30 Apr 2021
Finding High-Value Training Data Subset through Differentiable Convex Programming Soumik Das Arshdeep Singh Saptarshi Chatterjee S. Bhattacharya Sourangshu Bhattacharya TDI 43 7 0 28 Apr 2021
Do Feature Attribution Methods Correctly Attribute Features? Yilun Zhou Serena Booth Marco Tulio Ribeiro J. Shah FAtt XAI 119 136 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 105 31 0 27 Apr 2021
Metamorphic Detection of Repackaged Malware S. Singh Gail E. Kaiser 41 8 0 27 Apr 2021
Detection of Fake Users in SMPs Using NLP and Graph Embeddings Manojit Chakraborty Shubham Das R. Mamidi GNN 14 6 0 27 Apr 2021
Extractive and Abstractive Explanations for Fact-Checking and Evaluation of News Ashkan Kazemi Zehua Li Verónica Pérez-Rosas Rada Mihalcea 78 14 0 27 Apr 2021
TrustyAI Explainability Toolkit Rob Geada Tommaso Teofili Rui Vieira Rebecca Whitworth Daniele Zonca 70 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 102 101 0 26 Apr 2021
Weakly Supervised Multi-task Learning for Concept-based Explainability Catarina Belém Vladimir Balayan Pedro Saleiro P. Bizarro 134 10 0 26 Apr 2021
Towards Rigorous Interpretations: a Formalisation of Feature Attribution Darius Afchar Romain Hennequin Vincent Guigue FAtt 105 20 0 26 Apr 2021
Explainable AI For COVID-19 CT Classifiers: An Initial Comparison Study Qinghao Ye Jun Xia Guang Yang 98 60 0 25 Apr 2021
Sampling Permutations for Shapley Value Estimation Rory Mitchell Joshua N. Cooper E. Frank G. Holmes 106 122 0 25 Apr 2021
Explainable Artificial Intelligence Reveals Novel Insight into Tumor Microenvironment Conditions Linked with Better Prognosis in Patients with Breast Cancer Debaditya Chakraborty C. Ivan P. Amero Maliha Khan Cristian Rodríguez-Aguayo H. Basagaoglu G. Lopez-Berestein 31 33 0 24 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 140 78 0 24 Apr 2021
Grouped Feature Importance and Combined Features Effect Plot Quay Au J. Herbinger Clemens Stachl B. Bischl Giuseppe Casalicchio FAtt 100 47 0 23 Apr 2021
Interpretation of multi-label classification models using shapley values Shikun Chen FAtt TDI 88 10 0 21 Apr 2021
Rule Generation for Classification: Scalability, Interpretability, and Fairness Tabea E. Rober Adia C. Lumadjeng M. Akyuz cS. .Ilker Birbil 126 2 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 199 34 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 37 9 0 19 Apr 2021
Machine learning approach to dynamic risk modeling of mortality in COVID-19: a UK Biobank study M. Dabbah Angus B. Reed A. Booth A. Yassaee A. Despotovic ... Emily Binning M. Aral D. Plans A. Labrique D. Mohan 61 18 0 19 Apr 2021
Improving Attribution Methods by Learning Submodular Functions Piyushi Manupriya Tarun Ram Menta S. Jagarlapudi V. Balasubramanian TDI 94 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 66 4 0 19 Apr 2021
SurvNAM: The machine learning survival model explanation Lev V. Utkin Egor D. Satyukov A. Konstantinov AAML FAtt 93 30 0 18 Apr 2021
GraphSVX: Shapley Value Explanations for Graph Neural Networks Alexandre Duval Fragkiskos D. Malliaros FAtt 90 92 0 18 Apr 2021