Search results for "explanations"

Hits ?▲	Authors	Title	Venue	Year	Link
10	Shreya Havaldar, Adam Stein, Eric Wong 0001, Lyle H. Ungar	TopEx: Topic-based Explanations for Model Comparison.	CoRR	2023	DBLP DOI BibTeX RDF
10	Mouadh Guesmi, Mohamed Amine Chatti, Shoeb Ahmed Joarder, Qurat Ul Ain, Clara Siepmann, Hoda Ghanbarzadeh, Rawaa Alatrash	Justification vs. Transparency: Why and How Visual Explanations in a Scientific Literature Recommender System.	CoRR	2023	DBLP DOI BibTeX RDF
10	Manya Wadhwa, Jifan Chen, Junyi Jessy Li, Greg Durrett	Using Natural Language Explanations to Rescale Human Judgments.	CoRR	2023	DBLP DOI BibTeX RDF
10	Jieting Luo, Thomas Studer, Mehdi Dastani	Providing personalized Explanations: a Conversational Approach.	CoRR	2023	DBLP DOI BibTeX RDF
10	Andrew Engel, Zhichao Wang, Natalie S. Frank, Ioana Dumitriu, Sutanay Choudhury, Anand D. Sarwate, Tony Chiang	Robust Explanations for Deep Neural Networks via Pseudo Neural Tangent Kernel Surrogate Models.	CoRR	2023	DBLP DOI BibTeX RDF
10	Armando Villegas-Jimenez, Daniel Flores-Araiza, Francisco Javier Lopez-Tiro, Gilberto Ochoa-Ruiz, Christian Daul	Causal Scoring Medical Image Explanations: A Case Study On Ex-vivo Kidney Stone Images.	CoRR	2023	DBLP DOI BibTeX RDF
10	Hubert Baniecki, Maciej Chrabaszcz, Andreas Holzinger, Bastian Pfeifer, Anna Saranti, Przemyslaw Biecek	Be Careful When Evaluating Explanations Regarding Ground Truth.	CoRR	2023	DBLP DOI BibTeX RDF
10	Sree Harsha Tanneru, Chirag Agarwal, Himabindu Lakkaraju	Quantifying Uncertainty in Natural Language Explanations of Large Language Models.	CoRR	2023	DBLP DOI BibTeX RDF
10	Udo Schlegel, Daniela Oelke, Daniel A. Keim, Mennatallah El-Assady	Visual Explanations with Attributions and Counterfactuals on Time Series Classification.	CoRR	2023	DBLP DOI BibTeX RDF
10	Xiaoliang Wu, Peter Bell 0001, Ajitha Rajan	Explanations for Automatic Speech Recognition.	CoRR	2023	DBLP DOI BibTeX RDF
10	Guillaume Jeanneret, Loïc Simon, Frédéric Jurie	Adversarial Counterfactual Visual Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Takane Ueno, Yeongdae Kim, Hiroki Oura, Katie Seaborn	Trust and Reliance in Consensus-Based Explanations from an Anti-Misinformation Agent.	CoRR	2023	DBLP DOI BibTeX RDF
10	Sukrut Rao, Moritz Böhle, Amin Parchami-Araghi, Bernt Schiele	Using Explanations to Guide Models.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yao Rong, Peizhu Qian, Vaibhav V. Unhelkar, Enkelejda Kasneci	I-CEE: Tailoring Explanations of Image Classification Models to User Expertise.	CoRR	2023	DBLP DOI BibTeX RDF
10	Felipe Moreno Vera, Edgar Medina, Jorge Poco	WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and Their Influence in Image Classification.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yongjie Wang, Hangwei Qian, Yongjie Liu, Wei Guo, Chunyan Miao	Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations.	CoRR	2023	DBLP DOI BibTeX RDF
10	James Enouen, Hootan Nakhost, Sayna Ebrahimi, Sercan Ö. Arik, Yan Liu 0002, Tomas Pfister	TextGenSHAP: Scalable Post-hoc Explanations in Text Generation with Long Documents.	CoRR	2023	DBLP DOI BibTeX RDF
10	Tobias Huber, Maximilian Demmler, Silvan Mertes, Matthew L. Olson, Elisabeth André	GANterfactual-RL: Understanding Reinforcement Learning Agents' Strategies through Visual Counterfactual Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Chiara Balestra, Bin Li, Emmanuel Müller	On the Consistency and Robustness of Saliency Explanations for Time Series Classification.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yacine Izza, Alexey Ignatiev, Peter J. Stuckey, João Marques-Silva 0001	Delivering Inflated Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Daniel Russo 0004, Serra Sinem Tekiroglu, Marco Guerini	Benchmarking the Generation of Fact Checking Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Chen Peng, Zhengqi Dai, Guangping Xia, Yajie Niu, Yihui Lei	Explaining with Greater Support: Weighted Column Sampling Optimization for q-Consistent Summary-Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Jialin Chen, Shirley Wu, Abhijit Gupta, Rex Ying	D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion.	CoRR	2023	DBLP DOI BibTeX RDF
10	Che-Ping Tsai, Chih-Kuan Yeh, Pradeep Ravikumar	Sample based Explanations via Generalized Representers.	CoRR	2023	DBLP DOI BibTeX RDF
10	Qiming Bao 0001, Juho Leinonen 0001, Alex Yuxuan Peng, Wanjun Zhong, Tim Pistotti, Alice Huang, Paul Denny 0001, Michael Witbrock, Jiamou Liu	Exploring Self-Reinforcement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models.	CoRR	2023	DBLP DOI BibTeX RDF
10	Raphael Mazzine Barbosa de Oliveira, Sofie Goethals, Dieter Brughmans, David Martens	Unveiling the Potential of Counterfactuals Explanations in Employability.	CoRR	2023	DBLP DOI BibTeX RDF
10	Wei Sun, Mingxiao Li, Damien Sileo, Jesse Davis, Marie-Francine Moens	Generating Explanations in Medical Question-Answering by Expectation Maximization Inference over Evidence.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yanyi Pu	Generation of Explanations for Logic Reasoning.	CoRR	2023	DBLP DOI BibTeX RDF
10	Sebastian Lubos, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Merfat El Mansi, Alexander Felfernig, Manfred Wundara, Gerhard Leitner	Concentrating on the Impact: Consequence-based Explanations in Recommender Systems.	CoRR	2023	DBLP DOI BibTeX RDF
10	Fatemeh Aghaeipoor, Dorsa Asgarian, Mohammad Sabokrou	Expanding Explainability Horizons: A Unified Concept-Based System for Local, Global, and Misclassification Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Niloofar Ranjbar, Saeedeh Momtazi, Mohammad Mehdi Homayounpour	Explaining Recommendation System Using Counterfactual Textual Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Marie Stará, Pavel Rychlý, Ales Horák	Evaluation of Automatically Constructed Word Meaning Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Anna P. Meyer, Dan Ley, Suraj Srinivas, Himabindu Lakkaraju	On Minimizing the Impact of Dataset Shifts on Actionable Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Roan Schellingerhout, Francesco Barile, Nava Tintarev	A Co-design Study for Multi-Stakeholder Job Recommender System Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Hua Shen, Chieh-Yang Huang, Tongshuang Wu, Ting-Hao Kenneth Huang	ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing.	CoRR	2023	DBLP DOI BibTeX RDF
10	Owen Queen, Thomas Hartvigsen, Teddy Koker, Huan He, Theodoros Tsiligkaridis, Marinka Zitnik	Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency.	CoRR	2023	DBLP DOI BibTeX RDF
10	Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee	Learning from Exemplary Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Zining Zhu 0001, Frank Rudzicz	Measuring Information in Text Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Tuwe Löfström, Helena Löfström, Ulf Johansson, Cecilia Sönströd	Calibrated Explanations for Regression.	CoRR	2023	DBLP DOI BibTeX RDF
10	Juntao Tan, Yingqiang Ge, Yan Zhu, Yinglong Xia, Jiebo Luo, Jianchao Ji, Yongfeng Zhang	User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Raymond Fok, Daniel S. Weld	In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making.	CoRR	2023	DBLP DOI BibTeX RDF
10	Jing Huang, Atticus Geiger, Karel D'Oosterlinck, Zhengxuan Wu, Christopher Potts	Rigorously Assessing Natural Language Explanations of Neurons.	CoRR	2023	DBLP DOI BibTeX RDF
10	Maximilian Dreyer, Reduan Achtibat, Wojciech Samek, Sebastian Lapuschkin	Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Donato Maragno, Jannis Kurtz, Tabea E. Röber, Rob Goedhart, S. Ilker Birbil, Dick den Hertog	Finding Regions of Counterfactual Explanations via Robust Optimization.	CoRR	2023	DBLP DOI BibTeX RDF
10	Pedram Salimi, Nirmalie Wiratunga, David Corsar, Anjana Wijekoon	Towards Feasible Counterfactual Explanations: A Taxonomy Guided Template-based NLG Method.	CoRR	2023	DBLP DOI BibTeX RDF
10	Surya Shravan Kumar Sajja, Sumanta Mukherjee, Satyam Dwivedi	Semi-supervised counterfactual explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yuhao Zhong, Anirban Bhattacharya, Satish T. S. Bukkapatnam	EBLIME: Enhanced Bayesian Local Interpretable Model-agnostic Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Huaiyuan Ying, Zhengyun Zhao, Yang Zhao, Sihang Zeng, Sheng Yu 0002	CoRTEx: Contrastive Learning for Representing Terms via Explanations with Applications on Constructing Biomedical Knowledge Graphs.	CoRR	2023	DBLP DOI BibTeX RDF
10	Xiang Yin 0007, Nico Potyka, Francesca Toni	Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks (Technical Report).	CoRR	2023	DBLP DOI BibTeX RDF
10	Min Hun Lee, Chong Jun Chew	Understanding the Effect of Counterfactual Explanations on Trust and Reliance on AI for Human-AI Collaborative Clinical Decision Making.	CoRR	2023	DBLP DOI BibTeX RDF
10	Cristiano Patrício, João C. Neves 0001, Luís F. Teixeira 0001	Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis.	CoRR	2023	DBLP DOI BibTeX RDF
10	Vinitra Swamy, Jibril Frej, Tanja Käser	The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Jiaxing Zhang, Zhuomin Chen, Hao Mei, Dongsheng Luo, Hua Wei 0001	RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task.	CoRR	2023	DBLP DOI BibTeX RDF
10	Toygar Tanyel, Serkan Ayvaz, Bilgin Keserci	Beyond Known Reality: Exploiting Counterfactual Explanations for Medical Research.	CoRR	2023	DBLP DOI BibTeX RDF
10	Sabine Muzellec, Léo Andéol, Thomas Fel, Rufin VanRullen, Thomas Serre	Gradient strikes back: How filtering out high frequencies improves explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Laura State, Salvatore Ruggieri, Franco Turini	Declarative Reasoning on Explanations Using Constraint Logic Programming.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yilun Zhou	Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks.	CoRR	2023	DBLP DOI BibTeX RDF
10	Thales Bertaglia, Stefan Huber, Catalina Goanta, Gerasimos Spanakis, Adriana Iamnitchi	Closing the Loop: Testing ChatGPT to Generate Model Explanations to Improve Human Labelling of Sponsored Content on Social Media.	CoRR	2023	DBLP DOI BibTeX RDF
10	Surin Ahn, Justin Grana, Yafet Tamene, Kristian Holsheimer	Local Model Explanations and Uncertainty Without Model Access.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yitao Peng, Lianghua He, Die Hu 0002, Yihang Liu, Longzhen Yang, Shaohua Shang	FeaInfNet: Diagnosis in Medical Image with Feature-Driven Inference and Visual Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Ayato Toyokuni, Makoto Yamada	Structural Explanations for Graph Neural Networks using HSIC.	CoRR	2023	DBLP DOI BibTeX RDF
10	Piotr Komorowski, Hubert Baniecki, Przemyslaw Biecek	Towards Evaluating Explanations of Vision Transformers for Medical Imaging.	CoRR	2023	DBLP DOI BibTeX RDF
10	Seok-Yong Byun, Wonju Lee	ViT-ReciproCAM: Gradient and Attention-Free Visual Explanations for Vision Transformer.	CoRR	2023	DBLP DOI BibTeX RDF
10	Amar Halilovic, Senka Krivic	Understanding Path Planning Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Dieter Brughmans, Lissa Melis, David Martens	Disagreement amongst counterfactual explanations: How transparency can be deceptive.	CoRR	2023	DBLP DOI BibTeX RDF
10	Swarnadeep Saha, Peter Hase, Mohit Bansal	Can Language Models Teach Weaker Agents? Teacher Explanations Improve Students via Theory of Mind.	CoRR	2023	DBLP DOI BibTeX RDF
10	Divyansh Srivastava, Tuomas P. Oikarinen, Tsui-Wei Weng	Corrupting Neuron Explanations of Deep Visual Features.	CoRR	2023	DBLP DOI BibTeX RDF
10	Leila Methnani, Virginia Dignum, Andreas Theodorou	Clash of the Explainers: Argumentation for Context-Appropriate Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Brian Y. Lim, Joseph P. Cahaly, Chester Y. F. Sng, Adam Chew	Diagrammatization: Rationalizing with diagrammatic AI explanations for abductive reasoning on hypotheses.	CoRR	2023	DBLP DOI BibTeX RDF
10	Ada Martin, Valerie Chen, Sérgio M. Jesus, Pedro Saleiro	A Case Study on Designing Evaluations of ML Explanations with Simulated User Studies.	CoRR	2023	DBLP DOI BibTeX RDF
10	Hogun Park, Jennifer Neville	Generating Post-hoc Explanations for Skip-gram-based Node Embeddings by Identifying Important Nodes with Bridgeness.	CoRR	2023	DBLP DOI BibTeX RDF
10	Marc Alexander Kühn, Daniel Omeiza, Lars Kunze	Textual Explanations for Automated Commentary Driving.	CoRR	2023	DBLP DOI BibTeX RDF
10	Xuanli He, Yuxiang Wu, Oana-Maria Camburu, Pasquale Minervini, Pontus Stenetorp	Using Natural Language Explanations to Improve Robustness of In-context Learning for Natural Language Inference.	CoRR	2023	DBLP DOI BibTeX RDF
10	Laya Rafiee Sevyeri, Ivaxi Sheth, Farhood Farahnak, Shirin Abbasinejad Enger	Transparent Anomaly Detection via Concept-based Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Dongfang Li, Baotian Hu, Qingcai Chen, Shan He	Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training.	CoRR	2023	DBLP DOI BibTeX RDF
10	Mackenzie J. Meni, Trupti Mahendrakar, Olivia D. M. Raney, Ryan T. White, Michael L. Mayo, Kevin Pilkiewicz	Taking a PEEK into YOLOv5 for Satellite Component Recognition via Entropy-based Visual Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Jasmina Gajcin, Ivana Dusparic	RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning.	CoRR	2023	DBLP DOI BibTeX RDF
10	Ricardo Cannizzaro, Rhys Howard, Paulina Lewinska, Lars Kunze	Towards Probabilistic Causal Discovery, Inference & Explanations for Autonomous Drones in Mine Surveying Tasks.	CoRR	2023	DBLP DOI BibTeX RDF
10	Adam Stein, Yinjun Wu, Eric Wong 0001, Mayur Naik	Rectifying Group Irregularities in Explanations for Distribution Shift.	CoRR	2023	DBLP DOI BibTeX RDF
10	Sina Abdous, Reza Abdollahzadeh, Mohammad Hossein Rohban	KS-GNNExplainer: Global Model Interpretation Through Instance Explanations On Histopathology images.	CoRR	2023	DBLP DOI BibTeX RDF
10	Van Binh Truong, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Quoc Khanh Nguyen, Quoc Hung Cao	Towards Better Explanations for Object Detection.	CoRR	2023	DBLP DOI BibTeX RDF
10	Chenyang Zhao, Antoni B. Chan	ODAM: Gradient-based instance-specific visual explanations for object detection.	CoRR	2023	DBLP DOI BibTeX RDF
10	Tang Li 0005, Fengchun Qiao, Mengmeng Ma 0002, Xi Peng 0005	Are Data-driven Explanations Robust against Out-of-distribution Data?	CoRR	2023	DBLP DOI BibTeX RDF
10	Wenting Zhao, Justin T. Chiu, Claire Cardie, Alexander M. Rush	Abductive Commonsense Reasoning Exploiting Mutually Exclusive Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Hongbo Zhu, Angelo Cangelosi, Procheta Sen, Anirbit Mukherjee	LIPEx - Locally Interpretable Probabilistic Explanations - To Look Beyond The True Class.	CoRR	2023	DBLP DOI BibTeX RDF
10	Amir Hossein Akhavan Rahnama	The Blame Problem in Evaluating Local Explanations, and How to Tackle it.	CoRR	2023	DBLP DOI BibTeX RDF
10	Nedeljko Radulovic, Albert Bifet, Fabian M. Suchanek	BELLA: Black box model Explanations by Local Linear Approximations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo	Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling.	CoRR	2023	DBLP DOI BibTeX RDF
10	Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo	Robust Stochastic Graph Generator for Counterfactual Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Nijat Mehdiyev, Maxim Majlatow, Peter Fettke	Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring.	CoRR	2023	DBLP DOI BibTeX RDF
10	Mikolaj Sacha, Bartosz Jura, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski 0001	Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Hanxiao Tan	The Generalizability of Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Elisa Nguyen, Evgenii Kortukov, Jean Y. Song, Seong Joon Oh	Exploring Practitioner Perspectives On Training Data Attribution Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Valerie Chen, Q. Vera Liao, Jennifer Wortman Vaughan, Gagan Bansal	Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Alexandra Zytek, Wei-En Wang, Dongyu Liu, Laure Berti-Équille, Kalyan Veeramachaneni	Pyreal: A Framework for Interpretable ML Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Victor Guyomard, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier	Generating robust counterfactual explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Biagio La Rosa, Leilani H. Gilpin, Roberto Capobianco	Towards a fuller understanding of neurons with Clustered Compositional Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Nils Feldhus, Qianli Wang, Tatiana Anikina, Sahil Chopra, Cennet Oguz, Sebastian Möller 0001	InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Amir Samadi, Amir Shirian, Konstantinos Koufos, Kurt Debattista, Mehrdad Dianati	SAFE: Saliency-Aware Counterfactual Explanations for DNN-based Automated Driving Systems.	CoRR	2023	DBLP DOI BibTeX RDF
10	Elisa Nguyen, Meike Nauta, Gwenn Englebienne, Christin Seifert	Feature Attribution Explanations for Spiking Neural Networks.	CoRR	2023	DBLP DOI BibTeX RDF