Title
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning Tom Nuno Wolf Fabian Bongratz Anne-Marie Rickmann Sebastian Polsterl Christian Wachinger AAML FAtt 71 6 0 15 Dec 2023
Investigating Responsible AI for Scientific Research: An Empirical Study Muneera Bano Didar Zowghi Pip Shea Georgina Ibarra 73 5 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
On Diagnostics for Understanding Agent Training Behaviour in Cooperative MARL Wiem Khlifi Siddarth S. Singh Omayma Mahjoub Ruan de Kock Abidine Vall R. Gorsane Arnu Pretorius 112 1 0 13 Dec 2023
Artificial Intelligence for Digital and Computational Pathology Andrew H. Song Guillaume Jaume Drew F. K. Williamson Ming Y. Lu Anurag J. Vaidya Tiffany R. Miller Faisal Mahmood AI4CE 96 152 0 13 Dec 2023
Clash of the Explainers: Argumentation for Context-Appropriate Explanations Leila Methnani Virginia Dignum Andreas Theodorou 25 0 0 12 Dec 2023
"I Want It That Way": Enabling Interactive Decision Support Using Large Language Models and Constraint Programming Connor Lawless Jakob Schoeffer Lindy Le Kael Rowan Shilad Sen Cristina St. Hill Jina Suh Bahar Sarrafzadeh 77 14 0 12 Dec 2023
Explain To Decide: A Human-Centric Review on the Role of Explainable Artificial Intelligence in AI-assisted Decision Making Milad Rogha 70 0 0 11 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
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
Is Ignorance Bliss? The Role of Post Hoc Explanation Faithfulness and Alignment in Model Trust in Laypeople and Domain Experts Tessa Han Yasha Ektefaie Maha Farhat Marinka Zitnik Himabindu Lakkaraju FAtt 49 4 0 09 Dec 2023
Deeper Understanding of Black-box Predictions via Generalized Influence Functions Hyeonsu Lyu Jonggyu Jang Sehyun Ryu H. Yang TDI AI4CE 82 6 0 09 Dec 2023
CODEX: A Cluster-Based Method for Explainable Reinforcement Learning Timothy K. Mathes Jessica Inman Andrés Colón Simon Khan OffRL 40 1 0 07 Dec 2023
Speculative Exploration on the Concept of Artificial Agents Conducting Autonomous Research Shiro Takagi 105 0 0 06 Dec 2023
Conceptualizing the Relationship between AI Explanations and User Agency Iyadunni Adenuga Jonathan Dodge 62 2 0 05 Dec 2023
Lessons from Usable ML Deployments and Application to Wind Turbine Monitoring Alexandra Zytek Wei-En Wang S. Koukoura K. Veeramachaneni 72 0 0 05 Dec 2023
Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán A. Charlton-Perez H. Dacre Simon Driscoll Suzanne L. Gray Ben Harvey ... Kieran M. R. Hunt Robert W. Lee Ranjini Swaminathan R. Vandaele Ambrogio Volonté AI4Cl 109 30 0 05 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 50 7 0 04 Dec 2023
Explainable AI is Responsible AI: How Explainability Creates Trustworthy and Socially Responsible Artificial Intelligence Stephanie B. Baker Wei Xiang XAI 53 6 0 04 Dec 2023
CLIPDraw++: Text-to-Sketch Synthesis with Simple Primitives Nityanand Mathur Shyam Marjit Abhra Chaudhuri Anjan Dutta CLIP 71 0 0 04 Dec 2023
Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer Learning Method Wahidul Hasan Abir Md Fahim Uddin Faria Rahman Khanam Mohammad Monirujjaman Khan 47 51 0 01 Dec 2023
CLIP-QDA: An Explainable Concept Bottleneck Model Rémi Kazmierczak Eloise Berthier Goran Frehse Gianni Franchi 101 7 0 30 Nov 2023
GLIME: General, Stable and Local LIME Explanation Zeren Tan Yang Tian Jian Li FAtt LRM 83 20 0 27 Nov 2023
Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning Achref Jaziri Sina Ditzel Iuliia Pliushch Visvanathan Ramesh SSL 75 1 0 22 Nov 2023
Explainable Time Series Anomaly Detection using Masked Latent Generative Modeling Daesoo Lee Sara Malacarne Erlend Aune AI4TS 115 12 0 21 Nov 2023
Explaining Deep Learning Models for Age-related Gait Classification based on time series acceleration Xiaoping Zheng Bert Otten M. Reneman Claudine JC. Lamoth 34 4 0 20 Nov 2023
Can we infer the presence of Differential Privacy in Deep Learning models' weights? Towards more secure Deep Learning Daniel Jiménez-López Daniel Nuria Rodríguez Barroso Nuria M. V. Luzón M. Victoria Francisco Herrera Francisco AAML 52 0 0 20 Nov 2023
On the Relationship Between Interpretability and Explainability in Machine Learning Benjamin Leblanc Pascal Germain FaML 105 0 0 20 Nov 2023
XplainLLM: A QA Explanation Dataset for Understanding LLM Decision-Making Zichen Chen Jianda Chen Mitali Gaidhani Ambuj K. Singh Misha Sra 62 4 0 15 Nov 2023
Explaining black boxes with a SMILE: Statistical Model-agnostic Interpretability with Local Explanations Koorosh Aslansefat Mojgan Hashemian M. Walker Mohammed Naveed Akram Ioannis Sorokos Y. Papadopoulos FAtt AAML 47 3 0 13 Nov 2023
State-of-the-Art Review and Synthesis: A Requirement-based Roadmap for Standardized Predictive Maintenance Automation Using Digital Twin Technologies Sizhe Ma Katherine A. Flanigan Mario Bergés 46 13 0 13 Nov 2023
Explainability of Vision Transformers: A Comprehensive Review and New Perspectives Rojina Kashefi Leili Barekatain Mohammad Sabokrou Fatemeh Aghaeipoor ViT 105 11 0 12 Nov 2023
Is Machine Learning Unsafe and Irresponsible in Social Sciences? Paradoxes and Reconsidering from Recidivism Prediction Tasks Jianhong Liu D. Li 56 1 0 11 Nov 2023
Deep Natural Language Feature Learning for Interpretable Prediction Felipe Urrutia Cristian Buc Valentin Barriere 80 2 0 09 Nov 2023
On the Multiple Roles of Ontologies in Explainable AI Roberto Confalonieri G. Guizzardi 60 8 0 08 Nov 2023
Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated? David Novoa-Paradela O. Fontenla-Romero Bertha Guijarro-Berdiñas 48 0 0 08 Nov 2023
AI for All: Operationalising Diversity and Inclusion Requirements for AI Systems Muneera Bano Didar Zowghi Vincenzo Gervasi R. Shams 85 6 0 07 Nov 2023
Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models Michael Lan Phillip H. S. Torr Fazl Barez LRM 68 3 0 07 Nov 2023
The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond Direnc Pekaslan J. Alonso-Moral Kasun Bandara Christoph Bergmeir Juan Bernabé-Moreno ... Heda Song Christian Wagner Wenlong Wu Luis Magdalena I. Triguero 24 0 0 07 Nov 2023
Does Explainable AI Have Moral Value? Joshua L.M. Brand Luca Nannini XAI 70 0 0 05 Nov 2023
Automating Governing Knowledge Commons and Contextual Integrity (GKC-CI) Privacy Policy Annotations with Large Language Models Jake Chanenson Madison Pickering Noah J. Apthorpe 34 1 0 03 Nov 2023
Investigating Deep-Learning NLP for Automating the Extraction of Oncology Efficacy Endpoints from Scientific Literature Aline Gendrin-Brokmann Eden Harrison Julianne Noveras L. Souliotis Harris Vince ... Francisco Costa David Milward S. Dimitrievska Paul Metcalfe Emilie Louvet 54 0 0 03 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 111 26 0 02 Nov 2023
Notion of Explainable Artificial Intelligence -- An Empirical Investigation from A Users Perspective A. Haque A. Najmul Islam Patrick Mikalef 59 1 0 01 Nov 2023
Text-Transport: Toward Learning Causal Effects of Natural Language Victoria Lin Louis-Philippe Morency Eli Ben-Michael 95 4 0 31 Oct 2023
A Low-cost Strategic Monitoring Approach for Scalable and Interpretable Error Detection in Deep Neural Networks Florian Geissler S. Qutub Michael Paulitsch Karthik Pattabiraman 58 6 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 150 226 0 30 Oct 2023
Explaining Tree Model Decisions in Natural Language for Network Intrusion Detection Noah Ziems Gang Liu John Flanagan Meng Jiang 58 8 0 30 Oct 2023
"Honey, Tell Me What's Wrong", Global Explanation of Textual Discriminative Models through Cooperative Generation Antoine Chaffin Julien Delaunay 20 0 0 27 Oct 2023
Local Universal Explainer (LUX) -- a rule-based explainer with factual, counterfactual and visual explanations Szymon Bobek Grzegorz J. Nalepa 54 0 0 23 Oct 2023