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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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Title
Data Shapley Value for Handling Noisy Labels: An application in Screening COVID-19 Pneumonia from Chest CT Scans Nastaran Enshaei M. Rafiee Arash Mohammadi F. Naderkhani NoLa TDI 40 2 0 17 Oct 2021
TorchEsegeta: Framework for Interpretability and Explainability of Image-based Deep Learning Models S. Chatterjee Arnab Das Chirag Mandal Budhaditya Mukhopadhyay Manish Vipinraj Aniruddh Shukla R. Rao Chompunuch Sarasaen Oliver Speck A. Nürnberger MedIm 78 15 0 16 Oct 2021
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining Andreas Madsen Nicholas Meade Vaibhav Adlakha Siva Reddy 157 37 0 15 Oct 2021
Using Psychological Characteristics of Situations for Social Situation Comprehension in Support Agents Ilir Kola Catholijn M. Jonker M. Birna van Riemsdijk 70 6 0 15 Oct 2021
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings Jan Macdonald Mathieu Besançon Sebastian Pokutta 64 12 0 15 Oct 2021
The Irrationality of Neural Rationale Models Yiming Zheng Serena Booth J. Shah Yilun Zhou 120 17 0 14 Oct 2021
Bond Default Prediction with Text Embeddings, Undersampling and Deep Learning Luke Jordan 21 0 0 13 Oct 2021
E-Commerce Dispute Resolution Prediction David Tsurel Michael Doron A. Nus Arnon Dagan Ido Guy Dafna Shahaf 24 11 0 13 Oct 2021
Logic Constraints to Feature Importances Nicola Picchiotti Marco Gori 52 0 0 13 Oct 2021
Clustering-Based Interpretation of Deep ReLU Network Nicola Picchiotti Marco Gori FAtt 22 0 0 13 Oct 2021
A Survey on Legal Question Answering Systems J. Martinez-Gil AILaw ELM 92 29 0 12 Oct 2021
A Rate-Distortion Framework for Explaining Black-box Model Decisions Stefan Kolek Duc Anh Nguyen Ron Levie Joan Bruna Gitta Kutyniok 97 16 0 12 Oct 2021
You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction Osama Makansi Julius von Kügelgen Francesco Locatello Peter V. Gehler Dominik Janzing Thomas Brox Bernhard Schölkopf FAtt 88 29 0 11 Oct 2021
Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors Marvin Kaster Wei Zhao Steffen Eger 111 26 0 08 Oct 2021
The Eval4NLP Shared Task on Explainable Quality Estimation: Overview and Results M. Fomicheva Piyawat Lertvittayakumjorn Wei Zhao Steffen Eger Yang Gao ELM 97 41 0 08 Oct 2021
Explainability-Aware One Point Attack for Point Cloud Neural Networks Hanxiao Tan Helena Kotthaus 3DPC AAML 84 11 0 08 Oct 2021
Opportunities for Machine Learning to Accelerate Halide Perovskite Commercialization and Scale-Up Rishi E. Kumar A. Tiihonen Shijing Sun D. Fenning Zhe Liu Tonio Buonassisi 44 11 0 08 Oct 2021
Robotic Lever Manipulation using Hindsight Experience Replay and Shapley Additive Explanations Sindre Benjamin Remman A. Lekkas 55 14 0 07 Oct 2021
Compositional Q-learning for electrolyte repletion with imbalanced patient sub-populations Aishwarya Mandyam Andrew Jones Jiayu Yao K. Laudanski Barbara E. Engelhardt OffRL 80 0 0 06 Oct 2021
Shapley variable importance clouds for interpretable machine learning Yilin Ning M. Ong Bibhas Chakraborty B. Goldstein Daniel Ting Roger Vaughan Nan Liu FAtt 77 74 0 06 Oct 2021
Unpacking the Black Box: Regulating Algorithmic Decisions Laura Blattner Scott Nelson Jann Spiess MLAU FaML 80 19 0 05 Oct 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 152 708 0 05 Oct 2021
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information Yang Zhang Ashkan Khakzar Yawei Li Azade Farshad Seong Tae Kim Nassir Navab FAtt XAI 102 29 0 04 Oct 2021
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez 89 65 0 04 Oct 2021
Trustworthy AI: From Principles to Practices Yue Liu Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 213 384 0 04 Oct 2021
Algorithm Fairness in AI for Medicine and Healthcare Richard J. Chen Tiffany Y. Chen Jana Lipkova Judy J. Wang Drew F. K. Williamson Ming Y. Lu S. Sahai Faisal Mahmood FaML 158 47 0 01 Oct 2021
LEMON: Explainable Entity Matching Nils Barlaug FAtt AAML 62 9 0 01 Oct 2021
On the Trustworthiness of Tree Ensemble Explainability Methods Angeline Yasodhara Azin Asgarian Diego Huang Parinaz Sobhani FAtt 121 5 0 30 Sep 2021
XPROAX-Local explanations for text classification with progressive neighborhood approximation Yi Cai Arthur Zimek Eirini Ntoutsi 81 5 0 30 Sep 2021
Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation Karina Zadorozhny P. Thoral Paul Elbers Giovanni Cina OODD OOD 86 15 0 30 Sep 2021
Posttraumatic Stress Disorder Hyperarousal Event Detection Using Smartwatch Physiological and Activity Data Mahnoosh Sadeghi Anthony D. McDonald Farzan Sasangohar 39 24 0 29 Sep 2021
An Explainable-AI approach for Diagnosis of COVID-19 using MALDI-ToF Mass Spectrometry V. Seethi Z. LaCasse P. Chivte Joshua Bland Shrihari S. Kadkol E. Gaillard Pratool Bharti Hamed Alhoori 31 11 0 28 Sep 2021
Intelligent Decision Assistance Versus Automated Decision-Making: Enhancing Knowledge Work Through Explainable Artificial Intelligence Max Schemmer Niklas Kühl G. Satzger 58 14 0 28 Sep 2021
Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health Andrew Lee Jonathan K. Kummerfeld Lawrence C. An Rada Mihalcea 98 24 0 28 Sep 2021
Multi-Semantic Image Recognition Model and Evaluating Index for explaining the deep learning models Qianmengke Zhao Ye Wang Qun Liu AAML VLM XAI 56 0 0 28 Sep 2021
Discriminative Attribution from Counterfactuals N. Eckstein A. S. Bates G. Jefferis Jan Funke FAtt CML 51 1 0 28 Sep 2021
Exploring The Role of Local and Global Explanations in Recommender Systems Marissa Radensky Doug Downey Kyle Lo Z. Popović Daniel S. Weld University of Washington LRM 90 22 0 27 Sep 2021
ML4ML: Automated Invariance Testing for Machine Learning Models Zukang Liao Pengfei Zhang Min Chen VLM 60 3 0 27 Sep 2021
Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark Yaobin Ling Pulakesh Upadhyaya Luyao Chen Xiaoqian Jiang Yejin Kim CML 167 21 0 27 Sep 2021
Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance Ioanna Arkoudi C. L. Azevedo Francisco Câmara Pereira 78 18 0 24 Sep 2021
Understanding Spending Behavior: Recurrent Neural Network Explanation and Interpretation Charl Maree C. Omlin AI4TS 52 5 0 24 Sep 2021
AES Systems Are Both Overstable And Oversensitive: Explaining Why And Proposing Defenses Yaman Kumar Singla Swapnil Parekh Somesh Singh Junjie Li R. Shah Changyou Chen AAML 90 14 0 24 Sep 2021
DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications Dongqi Han Zhiliang Wang Wenqi Chen Ying Zhong Su Wang Han Zhang Jiahai Yang Xingang Shi Xia Yin AAML 67 81 0 23 Sep 2021
Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation Yunlong Wang Priyadarshini Venkatesh Brian Y. Lim 137 21 0 21 Sep 2021
Fast TreeSHAP: Accelerating SHAP Value Computation for Trees Jilei Yang FAtt 105 37 0 20 Sep 2021
Counterfactual Instances Explain Little Adam White Artur Garcez CML 48 5 0 20 Sep 2021
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging Karim Lekadira Richard Osuala C. Gallin Noussair Lazrak Kaisar Kushibar ... Nickolas Papanikolaou Zohaib Salahuddin Henry C. Woodruff Philippe Lambin L. Martí-Bonmatí AI4TS 163 62 0 20 Sep 2021
Some Critical and Ethical Perspectives on the Empirical Turn of AI Interpretability Jean-Marie John-Mathews 79 34 0 20 Sep 2021
Machine Learning-Based COVID-19 Patients Triage Algorithm using Patient-Generated Health Data from Nationwide Multicenter Database Min Sue Park Hyeontae Jo Haeun Lee S. Jung H. Hwang 72 14 0 18 Sep 2021
TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models U. Schlegel D. Lam Daniel A. Keim Daniel Seebacher FAtt AI4TS 110 32 0 17 Sep 2021