Title
Towards Comparative Physical Interpretation of Spatial Variability Aware Neural Networks: A Summary of Results Jayant Gupta Carl Molnar Gaoxiang Luo Joe Knight Shashi Shekhar 29 0 0 29 Oct 2021
Explaining Latent Representations with a Corpus of Examples Jonathan Crabbé Zhaozhi Qian F. Imrie M. Schaar FAtt 84 38 0 28 Oct 2021
Counterfactual Shapley Additive Explanations Emanuele Albini Jason Long Danial Dervovic Daniele Magazzeni 107 51 0 27 Oct 2021
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges Mohammadreza Salehi Hossein Mirzaei Dan Hendrycks Yixuan Li M. Rohban Mohammad Sabokrou OOD 165 199 0 26 Oct 2021
Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set Gabriel Laberge Y. Pequignot Alexandre Mathieu Foutse Khomh M. Marchand FAtt 62 6 0 26 Oct 2021
Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach D. Rengasamy J. M. Mase Mercedes Torres Torres Benjamin Rothwell David A. Winkler Grazziela Figueredo FAtt 41 2 0 22 Oct 2021
Learning to run a power network with trust Antoine Marot Benjamin Donnot Karim Chaouache Ying-Ling Lu Qiuhua Huang Ramij-Raja Hossain J. Cremer 82 31 0 21 Oct 2021
A Survey on Methods and Metrics for the Assessment of Explainability under the Proposed AI Act Francesco Sovrano Salvatore Sapienza M. Palmirani F. Vitali 69 18 0 21 Oct 2021
Human-Centered Explainable AI (XAI): From Algorithms to User Experiences Q. V. Liao R. Varshney 128 234 0 20 Oct 2021
Local Explanations for Clinical Search Engine results Edeline Contempré Zoltán Szlávik Majid Mohammadi Erick Velazquez Godinez A. T. Teije Ilaria Tiddi FAtt 24 1 0 19 Oct 2021
Coalitional Bayesian Autoencoders -- Towards explainable unsupervised deep learning Bang Xiang Yong Alexandra Brintrup 58 7 0 19 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
Tree-based local explanations of machine learning model predictions, AraucanaXAI Enea Parimbelli G. Nicora Szymon Wilk W. Michalowski Riccardo Bellazzi 37 26 0 15 Oct 2021
Training Neural Networks for Solving 1-D Optimal Piecewise Linear Approximation Hangcheng Dong Jing-Xiao Liao Yan Wang Yixin Chen Bingguo Liu Dong Ye Guodong Liu 313 0 0 14 Oct 2021
Truthful AI: Developing and governing AI that does not lie Owain Evans Owen Cotton-Barratt Lukas Finnveden Adam Bales Avital Balwit Peter Wills Luca Righetti William Saunders HILM 302 117 0 13 Oct 2021
Logic Constraints to Feature Importances Nicola Picchiotti Marco Gori 50 0 0 13 Oct 2021
Clustering-Based Interpretation of Deep ReLU Network Nicola Picchiotti Marco Gori FAtt 20 0 0 13 Oct 2021
A Field Guide to Scientific XAI: Transparent and Interpretable Deep Learning for Bioinformatics Research Thomas P. Quinn Sunil R. Gupta Svetha Venkatesh Vuong Le OOD 93 2 0 13 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 37 11 0 08 Oct 2021
Explanation as a process: user-centric construction of multi-level and multi-modal explanations Bettina Finzel David E. Tafler Stephan Scheele Ute Schmid 59 10 0 07 Oct 2021
Robotic Lever Manipulation using Hindsight Experience Replay and Shapley Additive Explanations Sindre Benjamin Remman A. Lekkas 55 14 0 07 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 72 74 0 06 Oct 2021
BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images Boyu Zhang Aleksandar Vakanski Min Xian 73 11 0 05 Oct 2021
NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks F. Siciliano Maria Sofia Bucarelli Gabriele Tolomei Fabrizio Silvestri GNN AI4CE 47 6 0 05 Oct 2021
What is understandable in Bayesian network explanations? Raphaela Butz Renée Schulz A. Hommersom M. V. Eekelen FAtt XAI BDL 21 0 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 87 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 213 383 0 04 Oct 2021
Making Things Explainable vs Explaining: Requirements and Challenges under the GDPR Francesco Sovrano F. Vitali M. Palmirani 61 11 0 02 Oct 2021
Explanation-Aware Experience Replay in Rule-Dense Environments Francesco Sovrano Alex Raymond Amanda Prorok 49 8 0 29 Sep 2021
Critical Empirical Study on Black-box Explanations in AI Jean-Marie John-Mathews 34 6 0 29 Sep 2021
A Sociotechnical View of Algorithmic Fairness Mateusz Dolata Stefan Feuerriegel Gerhard Schwabe FaML 76 101 0 27 Sep 2021
Understanding Spending Behavior: Recurrent Neural Network Explanation and Interpretation Charl Maree C. Omlin AI4TS 50 5 0 24 Sep 2021
Some Critical and Ethical Perspectives on the Empirical Turn of AI Interpretability Jean-Marie John-Mathews 77 34 0 20 Sep 2021
Detection Accuracy for Evaluating Compositional Explanations of Units Sayo M. Makinwa Biagio La Rosa Roberto Capobianco FAtt CoGe 81 1 0 16 Sep 2021
DisCERN:Discovering Counterfactual Explanations using Relevance Features from Neighbourhoods Nirmalie Wiratunga A. Wijekoon Ikechukwu Nkisi-Orji Kyle Martin Chamath Palihawadana D. Corsar CML AAML 28 17 0 13 Sep 2021
An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability Francesco Sovrano F. Vitali 74 32 0 11 Sep 2021
Secondary control activation analysed and predicted with explainable AI Johannes Kruse B. Schäfer D. Witthaut 39 17 0 10 Sep 2021
IFBiD: Inference-Free Bias Detection Ignacio Serna Daniel DeAlcala Aythami Morales Julian Fierrez J. Ortega-Garcia CVBM 109 11 0 09 Sep 2021
TrAISformer -- A Transformer Network with Sparse Augmented Data Representation and Cross Entropy Loss for AIS-based Vessel Trajectory Prediction Duong Nguyen Ronan Fablet 100 31 0 08 Sep 2021
Communicating Inferred Goals with Passive Augmented Reality and Active Haptic Feedback J. F. Mullen Josh Mosier Sounak Chakrabarti Anqi Chen Tyler White Dylan P. Losey 43 31 0 03 Sep 2021
A brief history of AI: how to prevent another winter (a critical review) Amirhosein Toosi A. Bottino Babak Saboury E. Siegel Arman Rahmim 52 81 0 03 Sep 2021
Parkinson's Disease Diagnosis based on Gait Cycle Analysis Through an Interpretable Interval Type-2 Neuro-Fuzzy System Armin Salimi-Badr Mohammadreza Hashemi H. Saffari 42 14 0 02 Sep 2021
The Role of Explainability in Assuring Safety of Machine Learning in Healthcare Yan Jia John McDermid T. Lawton Ibrahim Habli 95 48 0 01 Sep 2021
Look Who's Talking: Interpretable Machine Learning for Assessing Italian SMEs Credit Default Lisa Crosato C. Liberati M. Repetto 51 1 0 31 Aug 2021
Explainable AI for engineering design: A unified approach of systems engineering and component-based deep learning Philipp Geyer M. Singh Xia Chen 32 17 0 30 Aug 2021
Graph-guided random forest for gene set selection Bastian Pfeifer Hubert Baniecki Anna Saranti P. Biecek Andreas Holzinger 68 21 0 26 Aug 2021
Multilingual Multi-Aspect Explainability Analyses on Machine Reading Comprehension Models Yiming Cui Weinan Zhang Wanxiang Che Ting Liu Zhigang Chen Shijin Wang LRM 47 9 0 26 Aug 2021
Interpreting Face Inference Models using Hierarchical Network Dissection Divyang Teotia Àgata Lapedriza Sarah Ostadabbas CVBM 65 3 0 23 Aug 2021
Fast Accurate Defect Detection in Wafer Fabrication T. Olschewski 15 1 0 23 Aug 2021
Burst Imaging for Light-Constrained Structure-From-Motion Ahalya Ravendran M. Bryson D. Dansereau 58 6 0 23 Aug 2021