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A Survey Of Methods For Explaining Black Box Models

6 February 2018

Papers citing "A Survey Of Methods For Explaining Black Box Models"

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Title
Explainable Bayesian Optimization Tanmay Chakraborty Christin Seifert Christian Wirth 129 6 0 24 Jan 2024
Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning? Cheng Han Qifan Wang Yiming Cui Wenguan Wang Lifu Huang Siyuan Qi Dongfang Liu VLM 152 22 0 23 Jan 2024
The twin peaks of learning neural networks Elizaveta Demyanenko Christoph Feinauer Enrico M. Malatesta Luca Saglietti 62 0 0 23 Jan 2024
Unveiling the Human-like Similarities of Automatic Facial Expression Recognition: An Empirical Exploration through Explainable AI F. X. Gaya-Morey S. Ramis-Guarinos Cristina Manresa-Yee Jose Maria Buades Rubio CVBM 59 3 0 22 Jan 2024
Eclectic Rule Extraction for Explainability of Deep Neural Network based Intrusion Detection Systems Jesse Ables Nathaniel Childers William Anderson Sudip Mittal Shahram Rahimi I. Banicescu Maria Seale AAML 46 0 0 18 Jan 2024
Deep spatial context: when attention-based models meet spatial regression Paulina Tomaszewska El.zbieta Sienkiewicz Mai P. Hoang Przemysław Biecek 48 1 0 18 Jan 2024
Even-if Explanations: Formal Foundations, Priorities and Complexity Gianvincenzo Alfano S. Greco Domenico Mandaglio Francesco Parisi Reza Shahbazian I. Trubitsyna 82 2 0 17 Jan 2024
Inductive Models for Artificial Intelligence Systems are Insufficient without Good Explanations Udesh Habaraduwa 28 0 0 17 Jan 2024
MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment Yequan Bie Luyang Luo Hao Chen 79 15 0 16 Jan 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents Quentin Delfosse Sebastian Sztwiertnia M. Rothermel Wolfgang Stammer Kristian Kersting 122 20 0 11 Jan 2024
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective Haoyi Xiong Xuhong Li Xiaofei Zhang Jiamin Chen Xinhao Sun Yuchen Li Zeyi Sun Jundong Li XAI 136 9 0 09 Jan 2024
Towards Directive Explanations: Crafting Explainable AI Systems for Actionable Human-AI Interactions Aditya Bhattacharya 69 9 0 29 Dec 2023
SoK: Taming the Triangle -- On the Interplays between Fairness, Interpretability and Privacy in Machine Learning Julien Ferry Ulrich Aïvodji Sébastien Gambs Marie-José Huguet Mohamed Siala FaML 67 5 0 22 Dec 2023
Concept-based Explainable Artificial Intelligence: A Survey Eleonora Poeta Gabriele Ciravegna Eliana Pastor Tania Cerquitelli Elena Baralis LRM XAI 104 56 0 20 Dec 2023
On Early Detection of Hallucinations in Factual Question Answering Ben Snyder Marius Moisescu Muhammad Bilal Zafar HILM 123 28 0 19 Dec 2023
Robust Stochastic Graph Generator for Counterfactual Explanations Mario Alfonso Prado-Romero Bardh Prenkaj Giovanni Stilo CML 76 4 0 18 Dec 2023
Perceptual Musical Features for Interpretable Audio Tagging Vassilis Lyberatos Spyridon Kantarelis Edmund Dervakos Giorgos Stamou 49 7 0 18 Dec 2023
Entropy Causal Graphs for Multivariate Time Series Anomaly Detection F. Febrinanto Kristen Moore Chandra Thapa Mujie Liu Vidya Saikrishna Jiangang Ma Xiwei Xu CML 75 3 0 15 Dec 2023
Evaluative Item-Contrastive Explanations in Rankings Alessandro Castelnovo Riccardo Crupi Nicolo Mombelli Gabriele Nanino D. Regoli XAI ELM 63 2 0 14 Dec 2023
Accelerating the Global Aggregation of Local Explanations Alon Mor Yonatan Belinkov B. Kimelfeld FAtt 65 4 0 13 Dec 2023
Clash of the Explainers: Argumentation for Context-Appropriate Explanations Leila Methnani Virginia Dignum Andreas Theodorou 23 0 0 12 Dec 2023
SurvBeNIM: The Beran-Based Neural Importance Model for Explaining the Survival Models Lev V. Utkin Danila Eremenko A. Konstantinov 67 0 0 11 Dec 2023
Promoting Counterfactual Robustness through Diversity Francesco Leofante Nico Potyka 28 8 0 11 Dec 2023
FM-G-CAM: A Holistic Approach for Explainable AI in Computer Vision Ravidu Suien Rammuni Silva Jordan J. Bird FAtt 53 1 0 10 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 159 2 0 07 Dec 2023
Trust, distrust, and appropriate reliance in (X)AI: a survey of empirical evaluation of user trust Roel W. Visser Tobias M. Peters Ingrid Scharlau Barbara Hammer 41 7 0 04 Dec 2023
Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning Jiajun Cui Minghe Yu Bo Jiang Aimin Zhou Jianyong Wang Wei Zhang 77 4 0 01 Dec 2023
Image segmentation with traveling waves in an exactly solvable recurrent neural network L. Liboni Roberto C. Budzinski Alexandra N. Busch Sindy Löwe Thomas Anderson Keller Max Welling L. Muller 53 11 0 28 Nov 2023
An exact mathematical description of computation with transient spatiotemporal dynamics in a complex-valued neural network Roberto C. Budzinski Alexandra N. Busch Samuel Mestern Erwan Martin L. Liboni F. Pasini Ján Mináč Todd Coleman Wataru Inoue L. Muller 53 4 0 28 Nov 2023
Machine Learning For An Explainable Cost Prediction of Medical Insurance U. Orji Elochukwu A. Ukwandu 58 35 0 23 Nov 2023
On the Relationship Between Interpretability and Explainability in Machine Learning Benjamin Leblanc Pascal Germain FaML 90 0 0 20 Nov 2023
Designing Interpretable ML System to Enhance Trust in Healthcare: A Systematic Review to Proposed Responsible Clinician-AI-Collaboration Framework Elham Nasarian R. Alizadehsani U. Acharya Kwok-Leung Tsui 71 57 0 18 Nov 2023
GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection Jinggang Chen Junjie Li Xiaoyang Qu Jianzong Wang Jiguang Wan Jing Xiao OODD 67 10 0 16 Nov 2023
Model Agnostic Explainable Selective Regression via Uncertainty Estimation Andrea Pugnana Carlos Mougan Dan Saattrup Nielsen 78 0 0 15 Nov 2023
Exploring Variational Auto-Encoder Architectures, Configurations, and Datasets for Generative Music Explainable AI Nick Bryan-Kinns Bingyuan Zhang Songyan Zhao Berker Banar DRL MGen 102 13 0 14 Nov 2023
Feedforward neural networks as statistical models: Improving interpretability through uncertainty quantification Andrew McInerney Kevin Burke AI4CE 18 0 0 14 Nov 2023
MetaSymNet: A Dynamic Symbolic Regression Network Capable of Evolving into Arbitrary Formulations Yanjie Li Weijun Li Lina Yu Min Wu Jinyi Liu Wenqiang Li Meilan Hao Shu Wei Yusong Deng 84 4 0 13 Nov 2023
Deep Natural Language Feature Learning for Interpretable Prediction Felipe Urrutia Cristian Buc Valentin Barriere 75 2 0 09 Nov 2023
Does Explainable AI Have Moral Value? Joshua L.M. Brand Luca Nannini XAI 70 0 0 05 Nov 2023
Feature Attribution Explanations for Spiking Neural Networks Elisa Nguyen Meike Nauta G. Englebienne Christin Seifert FAtt AAML LRM 38 0 0 02 Nov 2023
Self-Influence Guided Data Reweighting for Language Model Pre-training Megh Thakkar Tolga Bolukbasi Sriram Ganapathy Shikhar Vashishth Sarath Chandar Partha P. Talukdar MILM 109 26 0 02 Nov 2023
Notion of Explainable Artificial Intelligence -- An Empirical Investigation from A Users Perspective A. Haque A. Najmul Islam Patrick Mikalef 57 1 0 01 Nov 2023
Learning impartial policies for sequential counterfactual explanations using Deep Reinforcement Learning E. Panagiotou Eirini Ntoutsi CML OffRL BDL 68 0 0 01 Nov 2023
Exploring Practitioner Perspectives On Training Data Attribution Explanations Elisa Nguyen Evgenii Kortukov Jean Y. Song Seong Joon Oh TDI 560 1 0 31 Oct 2023
Hidden Conflicts in Neural Networks and Their Implications for Explainability Adam Dejl Hamed Ayoobi Hamed Ayoobi Matthew Williams Francesca Toni FAtt BDL 133 3 0 31 Oct 2023
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions Luca Longo Mario Brcic Federico Cabitza Jaesik Choi Roberto Confalonieri ... Andrés Páez Wojciech Samek Johannes Schneider Timo Speith Simone Stumpf 150 225 0 30 Oct 2023
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors? Zachariah Carmichael Walter J. Scheirer FAtt 68 4 0 27 Oct 2023
Using Slisemap to interpret physical data Lauri Seppäläinen Anton Björklund V. Besel Kai Puolamäki 67 1 0 24 Oct 2023
XTSC-Bench: Quantitative Benchmarking for Explainers on Time Series Classification Jacqueline Höllig Steffen Thoma Florian Grimm AI4TS 60 1 0 23 Oct 2023
Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning Thomas Decker Michael Lebacher Volker Tresp 29 13 0 19 Oct 2023