Search results for "explanations"

Hits ?▲	Authors	Title	Venue	Year	Link
10	Neil Chulpongsatorn, Mille Skovhus Lunding, Nishan Soni, Ryo Suzuki 0001	Augmented Math: Authoring AR-Based Explorable Explanations by Augmenting Static Math Textbooks.	CoRR	2023	DBLP DOI BibTeX RDF
10	Francesco Lomuscio, Paolo Bajardi, Alan Perotti, Elvio G. Amparore	Streamlining models with explanations in the learning loop.	CoRR	2023	DBLP DOI BibTeX RDF
10	Konstantin Hemker, Zohreh Shams, Mateja Jamnik	CGXplain: Rule-Based Deep Neural Network Explanations Using Dual Linear Programs.	CoRR	2023	DBLP DOI BibTeX RDF
10	Karim Farid, Simon Schrodi, Max Argus, Thomas Brox	Latent Diffusion Counterfactual Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Philipp Väth, Alexander M. Frühwald, Benjamin Paaßen, Magda Gregorova	Diffusion-based Visual Counterfactual Explanations - Towards Systematic Quantitative Evaluation.	CoRR	2023	DBLP DOI BibTeX RDF
10	Susanne Hindennach, Lei Shi, Filip Miletic 0002, Andreas Bulling	Mindful Explanations: Prevalence and Impact of Mind Attribution in XAI Research.	CoRR	2023	DBLP DOI BibTeX RDF
10	Antonio Rago 0001, Hengzhi Li, Francesca Toni	Interactive Explanations by Conflict Resolution via Argumentative Exchanges.	CoRR	2023	DBLP DOI BibTeX RDF
10	Parth Padalkar, Huaduo Wang, Gopal Gupta 0001	NeSyFOLD: A System for Generating Logic-based Explanations from Convolutional Neural Networks.	CoRR	2023	DBLP DOI BibTeX RDF
10	Adarsa Sivaprasad, Ehud Reiter, Nava Tintarev, Nir Oren	Evaluation of Human-Understandability of Global Model Explanations using Decision Tree.	CoRR	2023	DBLP DOI BibTeX RDF
10	Justin Lee, Tuomas P. Oikarinen, Arjun Chatha, Keng-Chi Chang, Yilan Chen 0002, Tsui-Wei Weng	The Importance of Prompt Tuning for Automated Neuron Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Dan Ley, Saumitra Mishra, Daniele Magazzeni	GLOBE-CE: A Translation-Based Approach for Global Counterfactual Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Vivian Lai, Yiming Zhang, Chacha Chen, Q. Vera Liao, Chenhao Tan	Selective Explanations: Leveraging Human Input to Align Explainable AI.	CoRR	2023	DBLP DOI BibTeX RDF
10	Cássio F. Dantas, Diego Marcos, Dino Ienco	Counterfactual Explanations for Land Cover Mapping in a Multi-class Setting.	CoRR	2023	DBLP DOI BibTeX RDF
10	Hana Chockler, David A. Kelly, Daniel Kroening	Multiple Different Explanations for Image Classifiers.	CoRR	2023	DBLP DOI BibTeX RDF
10	Alessandro Farace di Villaforesta, Lucie Charlotte Magister, Pietro Barbiero, Pietro Liò	Digital Histopathology with Graph Neural Networks: Concepts and Explanations for Clinicians.	CoRR	2023	DBLP DOI BibTeX RDF
10	Tathagata Raha, Mukund Choudhary, Abhinav Menon, Harshit Gupta, K. V. Aditya Srivatsa, Manish Gupta 0001, Vasudeva Varma	Neural models for Factual Inconsistency Classification with Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Balint Gyevnar, Cheng Wang 0023, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht	Causal Social Explanations for Stochastic Sequential Multi-Agent Decision-Making.	CoRR	2023	DBLP DOI BibTeX RDF
10	Thibault Laugel, Adulam Jeyasothy, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki	Achieving Diversity in Counterfactual Explanations: a Review and Discussion.	CoRR	2023	DBLP DOI BibTeX RDF
10	Hendrik Buschmeier, Heike M. Buhl, Friederike Kern, Angela Grimminger, Helen Beierling, Josephine Beryl Fisher, André Groß, Ilona Horwath, Nils Klowait, Stefan Lazarov, Michael Lenke, Vivien Lohmer, Katharina J. Rohlfing, Ingrid Scharlau, Amit Singh, Lutz Terfloth, Anna-Lisa Vollmer, Yu Wang, Annedore Wilmes, Britta Wrede	Forms of Understanding of XAI-Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Ulrike Kuhl, André Artelt, Barbara Hammer	For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI.	CoRR	2023	DBLP DOI BibTeX RDF
10	John Törnblom, Emil Karlsson, Simin Nadjm-Tehrani	Finding Minimum-Cost Explanations for Predictions made by Tree Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Avani Gupta, Saurabh Saini, P. J. Narayanan	Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement.	CoRR	2023	DBLP DOI BibTeX RDF
10	Tom Nuno Wolf, Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl, Christian Wachinger	Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning.	CoRR	2023	DBLP DOI BibTeX RDF
10	Cecilia Di Florio, Guido Governatori, Antonino Rotolo, Giovanni Sartor	Stable Normative Explanations: From Argumentation to Deontic Logic.	CoRR	2023	DBLP DOI BibTeX RDF
10	Fawaz Sammani, Nikos Deligiannis	Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks.	CoRR	2023	DBLP DOI BibTeX RDF
10	Oliver Eberle, Ilias Chalkidis, Laura Cabello, Stephanie Brandl	Rather a Nurse than a Physician - Contrastive Explanations under Investigation.	CoRR	2023	DBLP DOI BibTeX RDF
10	Lauren Alvarez, Tim Menzies	Don't Lie to Me: Avoiding Malicious Explanations with STEALTH.	CoRR	2023	DBLP DOI BibTeX RDF
10	Chao Chen, Chenghua Guo, Guixiang Ma, Ming Zeng, Xi Zhang 0008, Sihong Xie	Robust Ranking Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Navita Goyal, Connor Baumler, Tin Nguyen 0005, Hal Daumé III	The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features.	CoRR	2023	DBLP DOI BibTeX RDF
10	Andrew Taylor, Alexandra Vassar, Jake Renzella, Hammond Pearce	Integrating Large Language Models into the Debugging C Compiler for generating contextual error explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Savio Rozario, George Cevora	Explainable AI does not provide the explanations end-users are asking for.	CoRR	2023	DBLP DOI BibTeX RDF
10	Alon Mor, Yonatan Belinkov, Benny Kimelfeld	Accelerating the Global Aggregation of Local Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Haozhe Chen, Junfeng Yang, Carl Vondrick, Chengzhi Mao	Interpreting and Controlling Vision Foundation Models via Text Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	André Artelt, Andreas Gregoriades	"How to make them stay?" - Diverse Counterfactual Explanations of Employee Attrition.	CoRR	2023	DBLP DOI BibTeX RDF
10	Leonie Nora Sieger, Stefan Heindorf, Lukas Blübaum, Axel-Cyrille Ngonga Ngomo	Counterfactual Explanations for Concepts in ELH.	CoRR	2023	DBLP DOI BibTeX RDF
10	Weihe Zhai, Arkaitz Zubiaga, Bingquan Liu	Faithful Knowledge Graph Explanations for Commonsense Reasoning.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yangqiaoyu Zhou, Yiming Zhang, Chenhao Tan	FLamE: Few-shot Learning from Natural Language Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Paul Geertsema, Helen Lu	Instance-based Explanations for Gradient Boosting Machine Predictions with AXIL Weights.	CoRR	2023	DBLP DOI BibTeX RDF
10	Devleena Das, Sonia Chernova, Been Kim	State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding.	CoRR	2023	DBLP DOI BibTeX RDF
10	Miles Turpin, Julian Michael, Ethan Perez, Samuel R. Bowman	Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting.	CoRR	2023	DBLP DOI BibTeX RDF
10	Sagar Patel, Sangeetha Abdu Jyothi, Nina Narodytska	CrystalBox: Future-Based Explanations for DRL Network Controllers.	CoRR	2023	DBLP DOI BibTeX RDF
10	Zining Zhu 0001, Haoming Jiang, Jingfeng Yang, Sreyashi Nag, Chao Zhang, Jie Huang 0009, Yifan Gao, Frank Rudzicz, Bing Yin	Situated Natural Language Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Alessandro Castelnovo, Riccardo Crupi, Nicolò Mombelli, Gabriele Nanino, Daniele Regoli	Evaluative Item-Contrastive Explanations in Rankings.	CoRR	2023	DBLP DOI BibTeX RDF
10	Koorosh Aslansefat, Mojgan Hashemian, Martin Walker, Mohammed Naveed Akram, Ioannis Sorokos, Yiannis Papadopoulos	Explaining black boxes with a SMILE: Statistical Model-agnostic Interpretability with Local Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Jesus Solano, Oana-Maria Camburu, Pasquale Minervini	SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Lars Henry Berge Olsen	Precision of Individual Shapley Value Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Ioannis Papantonis, Vaishak Belle	Why not both? Complementing explanations with uncertainty, and the role of self-confidence in Human-AI collaboration.	CoRR	2023	DBLP DOI BibTeX RDF
10	Tin Nguyen 0005, Jiannan Xu, Aayushi Roy, Hal Daumé III, Marine Carpuat	Towards Conceptualization of "Fair Explanation": Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators.	CoRR	2023	DBLP DOI BibTeX RDF
10	Sven Nomm	Towards the Linear Algebra Based Taxonomy of XAI Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yiming Zhang, Sravani Nanduri, Liwei Jiang, Tongshuang Wu, Maarten Sap	BiasX: "Thinking Slow" in Toxic Content Moderation with Explanations of Implied Social Biases.	CoRR	2023	DBLP DOI BibTeX RDF
10	Iyadunni J. Adenuga, Jonathan Dodge	Conceptualizing the Relationship between AI Explanations and User Agency.	CoRR	2023	DBLP DOI BibTeX RDF
10	Helena Montenegro, Jaime S. Cardoso 0001	Anonymizing medical case-based explanations through disentanglement.	CoRR	2023	DBLP DOI BibTeX RDF
10	Youngwook Kim, Jae-Myung Kim, Jieun Jeong, Cordelia Schmid, Zeynep Akata, Jungwoo Lee 0001	Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yair Ori Gat, Nitay Calderon, Amir Feder, Alexander Chapanin, Amit Sharma, Roi Reichart	Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals.	CoRR	2023	DBLP DOI BibTeX RDF
10	Vihari Piratla, Juyeon Heo, Sukriti Singh, Adrian Weller	Estimation of Concept Explanations Should be Uncertainty Aware.	CoRR	2023	DBLP DOI BibTeX RDF
10	Carlo Abrate, Giulia Preti, Francesco Bonchi	Counterfactual Explanations for Graph Classification Through the Lenses of Density.	CoRR	2023	DBLP DOI BibTeX RDF
10	Van Minh Nguyen, Nasheen Nur, William Stern, Thomas Mercer, Chiradeep Sen, Siddhartha Bhattacharyya, Victor Tumbiolo, Seng Jhing Goh	Conceptualizing Suicidal Behavior: Utilizing Explanations of Predicted Outcomes to Analyze Longitudinal Social Media Data.	CoRR	2023	DBLP DOI BibTeX RDF
10	Nityanand Mathur, Shyam Marjit, Abhra Chaudhuri, Anjan Dutta 0001	CLIPDrawX: Primitive-based Explanations for Text Guided Sketch Synthesis.	CoRR	2023	DBLP DOI BibTeX RDF
10	Emmanouil Panagiotou, Eirini Ntoutsi	Learning impartial policies for sequential counterfactual explanations using Deep Reinforcement Learning.	CoRR	2023	DBLP DOI BibTeX RDF
10	Joel Rorseth, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta	CREDENCE: Counterfactual Explanations for Document Ranking.	CoRR	2023	DBLP DOI BibTeX RDF
10	Xiaoxin He, Xavier Bresson, Thomas Laurent 0001, Bryan Hooi	Explanations as Features: LLM-Based Features for Text-Attributed Graphs.	CoRR	2023	DBLP DOI BibTeX RDF
10	Saugat Aryal, Mark T. Keane	Even if Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI.	CoRR	2023	DBLP DOI BibTeX RDF
10	Parisa Zehtabi, Alberto Pozanco, Ayala Bloch, Daniel Borrajo, Sarit Kraus	Contrastive Explanations of Multi-agent Optimization Solutions.	CoRR	2023	DBLP DOI BibTeX RDF
10	Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha	Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering.	CoRR	2023	DBLP DOI BibTeX RDF
10	Kenza Amara, Mennatallah El-Assady, Rex Ying	GInX-Eval: Towards In-Distribution Evaluation of Graph Neural Network Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Renhan Lou, Jan Niehues	Audience-specific Explanations for Machine Translation.	CoRR	2023	DBLP DOI BibTeX RDF
10	Adam Ivankay, Mattia Rigotti, Pascal Frossard	DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications.	CoRR	2023	DBLP DOI BibTeX RDF
10	Leo Yu-Ho Lo, Yifan Cao, Leni Yang, Huamin Qu	Why Change My Design: Explaining Poorly Constructed Visualization Designs with Explorable Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Priti Oli, Rabin Banjade, Jeevan Chapagain, Vasile Rus	The Behavior of Large Language Models When Prompted to Generate Code Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Juho Leinonen 0001, Paul Denny 0001, Stephen MacNeil, Sami Sarsa, Seth Bernstein, Joanne Kim, Andrew Tran, Arto Hellas	Comparing Code Explanations Created by Students and Large Language Models.	CoRR	2023	DBLP DOI BibTeX RDF
10	Ravi Pandya, Michelle Zhao, Changliu Liu, Reid G. Simmons, Henny Admoni	Multi-Agent Strategy Explanations for Human-Robot Collaboration.	CoRR	2023	DBLP DOI BibTeX RDF
10	Raha Ahmadi, Mohammad Javad Rajabi, Mohammad Khalooie, Mohammad Sabokrou	Mitigating Bias: Enhancing Image Classification by Improving Model Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Jiri Nemecek 0002, Tomás Pevný, Jakub Marecek	Improving the Validity of Decision Trees as Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Chetraj Pandey, Anli Ji, Trisha Nandakumar, Rafal A. Angryk, Berkay Aydin	Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Shagun Jhaver, Himanshu Rathi, Koustuv Saha	Bystanders of Online Moderation: Examining the Effects of Witnessing Post-Removal Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Leopoldo E. Bertossi	Attribution-Scores and Causal Counterfactuals as Explanations in Artificial Intelligence.	CoRR	2023	DBLP DOI BibTeX RDF
10	Laura State, Salvatore Ruggieri, Franco Turini	Reason to explain: Interactive contrastive explanations (REASONX).	CoRR	2023	DBLP DOI BibTeX RDF
10	Faisal Hamman, Erfaun Noorani, Saumitra Mishra, Daniele Magazzeni, Sanghamitra Dutta	Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees.	CoRR	2023	DBLP DOI BibTeX RDF
10	Katarzyna Kobylinska, Mateusz Krzyzinski, Rafal Machowicz, Mariusz Adamek, Przemyslaw Biecek	Exploration of Rashomon Set Assists Explanations for Medical Data.	CoRR	2023	DBLP DOI BibTeX RDF
10	Changqing Qiu, Fusheng Jin, Yining Zhang	Fine-Grained and High-Faithfulness Explanations for Convolutional Neural Networks.	CoRR	2023	DBLP DOI BibTeX RDF
10	Giang Nguyen, Valerie Chen, Anh Nguyen	AdvisingNets: Learning to Distinguish Correct and Wrong Classifications via Nearest-Neighbor Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Alexandros Doumanoglou, Stylianos Asteriadis, Dimitrios Zarpalas	Unsupervised Interpretable Basis Extraction for Concept-Based Visual Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Alex J. Chan, Alihan Hüyük, Mihaela van der Schaar	Optimising Human-AI Collaboration by Learning Convincing Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Mireia Yurrita, Agathe Balayn, Ujwal Gadiraju	Generating Process-Centric Explanations to Enable Contestability in Algorithmic Decision-Making: Challenges and Opportunities.	CoRR	2023	DBLP DOI BibTeX RDF
10	Johannes Hirth, Viktoria Horn, Gerd Stumme, Tom Hanika	Automatic Textual Explanations of Concept Lattices.	CoRR	2023	DBLP DOI BibTeX RDF
10	Xinmiao Lin, Wentao Bao, Qi Yu 0001, Yu Kong	On Model Explanations with Transferable Neural Pathways.	CoRR	2023	DBLP DOI BibTeX RDF
10	Bingsheng Yao, Ishan Jindal, Lucian Popa 0001, Yannis Katsis, Sayan Ghosh, Lihong He 0001, Yuxuan Lu 0003, Shashank Srivastava, James A. Hendler, Dakuo Wang	Beyond Labels: Empowering Human with Natural Language Explanations through a Novel Active-Learning Architecture.	CoRR	2023	DBLP DOI BibTeX RDF
10	Wanyun Cui, Xingran Chen	Exploring Automatically Perturbed Natural Language Explanations in Relation Extraction.	CoRR	2023	DBLP DOI BibTeX RDF
10	Dairui Liu, Derek Greene, Irene Li, Ruihai Dong	Topic-Centric Explanations for News Recommendation.	CoRR	2023	DBLP DOI BibTeX RDF
10	Efimia Panagiotaki, Daniele De Martini, Lars Kunze	Semantic Interpretation and Validation of Graph Attention-based Explanations for GNN Models.	CoRR	2023	DBLP DOI BibTeX RDF
10	Omer Reingold, Judy Hanwen Shen, Aditi Talati	Dissenting Explanations: Leveraging Disagreement to Reduce Model Overreliance.	CoRR	2023	DBLP DOI BibTeX RDF
10	Andrew Draganov, Simon Dohn	Unexplainable Explanations: Towards Interpreting tSNE and UMAP Embeddings.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yacine Izza, Kuldeep S. Meel, João Marques-Silva 0001	Locally-Minimal Probabilistic Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Edward Small, Yueqing Xuan, Danula Hettiachchi, Kacper Sokol	Helpful, Misleading or Confusing: How Humans Perceive Fundamental Building Blocks of Artificial Intelligence Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Edward A. Small, Jeffrey N. Clark, Christopher J. McWilliams, Kacper Sokol, Jeffrey Chan, Flora D. Salim, Raúl Santos-Rodríguez	Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yiheng Su, Junyi Jessy Li, Matthew Lease	Interpretable by Design: Wrapper Boxes Combine Neural Performance with Faithful Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf, Isabel Valera	A Survey of Algorithmic Recourse: Contrastive Explanations and Consequential Recommendations.	ACM Comput. Surv.	2023	DBLP DOI BibTeX RDF
10	Tamara Zivkovic, Bosko Nikolic, Vladimir Simic, Dragan Pamucar, Nebojsa Bacanin	Software defects prediction by metaheuristics tuned extreme gradient boosting and analysis based on Shapley Additive Explanations.	Appl. Soft Comput.	2023	DBLP DOI BibTeX RDF
10	Robert R. Hoffman, Mohammadreza Jalaeian, Connor Tate, Gary Klein, Shane T. Mueller	Evaluating machine-generated explanations: a "Scorecard" method for XAI measurement science.	Frontiers Comput. Sci.	2023	DBLP DOI BibTeX RDF
10	Nicolas Scharowski, Sebastian A. C. Perrig, Melanie Svab, Klaus Opwis, Florian Brühlmann	Exploring the effects of human-centered AI explanations on trust and reliance.	Frontiers Comput. Sci.	2023	DBLP DOI BibTeX RDF