Search results for "explanations"

Hits ?▲	Authors	Title	Venue	Year	Link
10	Luis Galárraga	Effects of Locality and Rule Language on Explanations for Knowledge Graph Embeddings.	CoRR	2023	DBLP DOI BibTeX RDF
10	Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales	Generating collective counterfactual explanations in score-based classification via mathematical optimization.	CoRR	2023	DBLP DOI BibTeX RDF
10	Ruozhen He, Paola Cascante-Bonilla, Ziyan Yang, Alexander C. Berg, Vicente Ordonez	Improved Visual Grounding through Self-Consistent Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein	Faithfulness Tests for Natural Language Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Tong Steven Sun, Yuyang Gao, Shubham Khaladkar, Sijia Liu 0001, Liang Zhao 0002, Young-Ho Kim, Sungsoo Ray Hong	Designing a Direct Feedback Loop between Humans and Convolutional Neural Networks through Local Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Georgios Angelopoulos, Luigi Mangiacapra, Alessandra Rossi 0001, Claudia Di Napoli, Silvia Rossi 0002	Increasing Transparency of Reinforcement Learning using Shielding for Human Preferences and Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Praharsh Nanavati, Ranjitha Prasad	CLIMAX: An exploration of Classifier-Based Contrastive Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Zhendong Wang, Ioanna Miliou, Isak Samsten, Panagiotis Papapetrou	Counterfactual Explanations for Time Series Forecasting.	CoRR	2023	DBLP DOI BibTeX RDF
10	Bevan I. Smith	Evaluating counterfactual explanations using Pearl's counterfactual method.	CoRR	2023	DBLP DOI BibTeX RDF
10	Giorgio Morales, John W. Sheppard	Counterfactual Explanations of Neural Network-Generated Response Curves.	CoRR	2023	DBLP DOI BibTeX RDF
10	Kaushik Roy 0009, Yuxin Zi, Manas Gaur, Jinendra Malekar, Qi Zhang 0020, Vignesh Narayanan, Amit P. Sheth	Process Knowledge-infused Learning for Clinician-friendly Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Henrik Boström	Example-Based Explanations of Random Forest Predictions.	CoRR	2023	DBLP DOI BibTeX RDF
10	Lasha Abzianidze	Formal Proofs as Structured Explanations: Proposing Several Tasks on Explainable Natural Language Inference.	CoRR	2023	DBLP DOI BibTeX RDF
10	Xiaobin Tian, Zequn Sun, Wei Hu 0007	Generating Explanations to Understand and Repair Embedding-based Entity Alignment.	CoRR	2023	DBLP DOI BibTeX RDF
10	Oren Barkan, Yehonatan Elisha, Yuval Asher, Amit Eshel, Noam Koenigstein	Visual Explanations via Iterated Integrated Attributions.	CoRR	2023	DBLP DOI BibTeX RDF
10	Alon Jacovi, Hendrik Schuff, Heike Adel, Ngoc Thang Vu, Yoav Goldberg	Neighboring Words Affect Human Interpretation of Saliency Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Neil Natarajan, Reuben Binns, Jun Zhao 0003, Nigel Shadbolt	Trust Explanations to Do What They Say.	CoRR	2023	DBLP DOI BibTeX RDF
10	Junqi Jiang, Jianglin Lan, Francesco Leofante, Antonio Rago 0001, Francesca Toni	Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yi Cai 0005, Gerhard Wunder	On Gradient-like Explanation under a Black-box Setting: When Black-box Explanations Become as Good as White-box.	CoRR	2023	DBLP DOI BibTeX RDF
10	Gagan Biradar, Yacine Izza, Elita Lobo, Vignesh Viswanathan, Yair Zick	Axiomatic Aggregations of Abductive Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Marco Matarese, Francesco Rea, Alessandra Sciutti	How much informative is your XAI? A decision-making assessment task to objectively measure the goodness of explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Shawn Im, Jacob Andreas, Yilun Zhou	Evaluating the Utility of Model Explanations for Model Development.	CoRR	2023	DBLP DOI BibTeX RDF
10	Han Wang, Ming Shan Hee, Md. Rabiul Awal, Kenny Tsu Wei Choo, Roy Ka-Wei Lee	Evaluating GPT-3 Generated Explanations for Hateful Content Moderation.	CoRR	2023	DBLP DOI BibTeX RDF
10	Bostjan Vouk, Matej Guid, Marko Robnik-Sikonja	Feature construction using explanations of individual predictions.	CoRR	2023	DBLP DOI BibTeX RDF
10	Adam Dejl, Hamed Ayoobi, Matthew Williams 0001, Francesca Toni	CAFE: Conflict-Aware Feature-wise Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh 0001, Himabindu Lakkaraju	Post Hoc Explanations of Language Models Can Improve Language Models.	CoRR	2023	DBLP DOI BibTeX RDF
10	Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada	Very fast, approximate counterfactual explanations for decision forests.	CoRR	2023	DBLP DOI BibTeX RDF
10	Emanuele Albini, Shubham Sharma, Saumitra Mishra, Danial Dervovic, Daniele Magazzeni	On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Chunxi Ji, Adnan Darwiche	A New Class of Explanations for Classifiers with Non-Binary Features.	CoRR	2023	DBLP DOI BibTeX RDF
10	Klaus-Rudolf Kladny, Julius von Kügelgen, Bernhard Schölkopf, Michael Muehlebach	Deep Backtracking Counterfactuals for Causally Compliant Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Kevin McAreavey, Weiru Liu	Modifications of the Miller definition of contrastive (counterfactual) explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Jiaming Shen, Jialu Liu, Daniel Finnie, Negar Rahmati, Michael Bendersky, Marc Najork	"Why is this misleading?": Detecting News Headline Hallucinations with Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yuejiao Fei, Leyang Cui, Sen Yang 0005, Wai Lam, Zhenzhong Lan, Shuming Shi 0001	Enhancing Grammatical Error Correction Systems with Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Mario Alviano, Ly Ly T. Trieu, Tran Cao Son, Marcello Balduccini	Explanations for Answer Set Programming.	ICLP	2023	DBLP DOI BibTeX RDF
10	Alexander Lin, Lucas Monteiro Paes, Sree Harsha Tanneru, Suraj Srinivas, Himabindu Lakkaraju	Word-Level Explanations for Analyzing Bias in Text-to-Image Models.	CoRR	2023	DBLP DOI BibTeX RDF
10	Sein Minn	LaPLACE: Probabilistic Local Model-Agnostic Causal Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yuan Tian, Toby Jia-Jun Li, Jonathan K. Kummerfeld, Tianyi Zhang 0001	Interactive Text-to-SQL Generation via Editable Step-by-Step Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Dmitriy Umerenkov, Galina Zubkova, Aleksandr Nesterov	Deciphering Diagnoses: How Large Language Models Explanations Influence Clinical Decision Making.	CoRR	2023	DBLP DOI BibTeX RDF
10	Lenka Tetková, Lars Kai Hansen	Robustness of Visual Explanations to Common Data Augmentation.	CoRR	2023	DBLP DOI BibTeX RDF
10	Shiyuan Huang, Siddarth Mamidanna, Shreedhar Jangam, Yilun Zhou, Leilani H. Gilpin	Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Tianxiang Zhao, Dongsheng Luo, Xiang Zhang 0001, Suhang Wang	Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment.	CoRR	2023	DBLP DOI BibTeX RDF
10	Ming Wang, Daling Wang, Wenfang Wu, Shi Feng 0001, Yifei Zhang 0003	T-COL: Generating Counterfactual Explanations for General User Preferences on Variable Machine Learning Systems.	CoRR	2023	DBLP DOI BibTeX RDF
10	Patrick Altmeyer, Mojtaba Farmanbar, Arie van Deursen, Cynthia C. S. Liem	Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals.	CoRR	2023	DBLP DOI BibTeX RDF
10	Dangxing Chen	Can I Trust the Explanations? Investigating Explainable Machine Learning Methods for Monotonic Models.	CoRR	2023	DBLP DOI BibTeX RDF
10	Bevan I. Smith	Causal Discovery and Counterfactual Explanations for Personalized Student Learning.	CoRR	2023	DBLP DOI BibTeX RDF
10	Badr AlKhamissi, Siddharth Verma, Ping Yu, Zhijing Jin, Asli Celikyilmaz, Mona T. Diab	OPT-R: Exploring the Role of Explanations in Finetuning and Prompting for Reasoning Skills of Large Language Models.	CoRR	2023	DBLP DOI BibTeX RDF
10	Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller	Robust Learning from Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Aida Brankovic, Wenjie Huang, David Cook, Sankalp Khanna, Konstanty Bialkowski	Elucidating Discrepancy in Explanations of Predictive Models Developed using EMR.	CoRR	2023	DBLP DOI BibTeX RDF
10	Jialin Chen, Kenza Amara, Junchi Yu, Rex Ying	Generative Explanations for Graph Neural Network: Methods and Evaluations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Dimosthenis Kontogiorgos	Utilising Explanations to Mitigate Robot Conversational Failures.	CoRR	2023	DBLP DOI BibTeX RDF
10	Alina Elena Baia, Valentina Poggioni, Andrea Cavallaro	Black-box Attacks on Image Activity Prediction and its Natural Language Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Jiaxing Zhang, Dongsheng Luo, Hua Wei 0001	MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yuhang Lu, Zewei Xu, Touradj Ebrahimi	Towards Visual Saliency Explanations of Face Recognition.	CoRR	2023	DBLP DOI BibTeX RDF
10	Hamed Ayoobi, Nico Potyka, Francesca Toni	SpArX: Sparse Argumentative Explanations for Neural Networks.	CoRR	2023	DBLP DOI BibTeX RDF
10	Guillaume Jeanneret, Loïc Simon, Frédéric Jurie	Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach.	CoRR	2023	DBLP DOI BibTeX RDF
10	Helena Löfström, Tuwe Löfström, Ulf Johansson, Cecilia Sönströd	Calibrated Explanations: with Uncertainty Information and Counterfactuals.	CoRR	2023	DBLP DOI BibTeX RDF
10	Mustafa Cavus, Adrian Stando, Przemyslaw Biecek	Glocal Explanations of Expected Goal Models in Soccer.	CoRR	2023	DBLP DOI BibTeX RDF
10	Claudio Borile, Alan Perotti, André Panisson	Evaluating Link Prediction Explanations for Graph Neural Networks.	CoRR	2023	DBLP DOI BibTeX RDF
10	Sadaf Gulshad, Teng Long, Nanne van Noord	Hierarchical Explanations for Video Action Recognition.	CoRR	2023	DBLP DOI BibTeX RDF
10	Jonas Teufel, Luca Torresi, Pascal Friederich	Quantifying the Intrinsic Usefulness of Attributional Explanations for Graph Neural Networks with Artificial Simulatability Studies.	CoRR	2023	DBLP DOI BibTeX RDF
10	Jianing Hao, Qing Shi, Yilin Ye, Wei Zeng 0004	TimeTuner: Diagnosing Time Representations for Time-Series Forecasting with Counterfactual Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Ying Wang 0063, Tim G. J. Rudner, Andrew Gordon Wilson	Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution.	CoRR	2023	DBLP DOI BibTeX RDF
10	Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein	Deep Integrated Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer	Model Based Explanations of Concept Drift.	CoRR	2023	DBLP DOI BibTeX RDF
10	Susanne Dandl, Giuseppe Casalicchio, Bernd Bischl, Ludwig Bothmann	Interpretable Regional Descriptors: Hyperbox-Based Local Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Jakub Raczynski, Mateusz Lango, Jerzy Stefanowski	The Problem of Coherence in Natural Language Explanations of Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Jingquan Yan, Hao Wang 0014	Self-Interpretable Time Series Prediction with Counterfactual Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Wenhao Lu, Sven Magg, Xufeng Zhao, Martin Gromniak, Stefan Wermter	A Closer Look at Reward Decomposition for High-Level Robotic Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Tasmia Shahriar, Noboru Matsuda, Kelly Ramos	Assertion Enhanced Few-Shot Learning: Instructive Technique for Large Language Models to Generate Educational Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Saeid Asgari Taghanaki, Aliasghar Khani, Amir Khasahmadi, Aditya Sanghi, Karl D. D. Willis, Ali Mahdavi-Amiri	Learned Visual Features to Textual Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Christopher Burger, Lingwei Chen, Thai Le	Are Your Explanations Reliable? Investigating the Stability of LIME in Explaining Textual Classification Models via Adversarial Perturbation.	CoRR	2023	DBLP DOI BibTeX RDF
10	Ricardo Cannizzaro, Jonathan Routley, Lars Kunze	Towards a Causal Probabilistic Framework for Prediction, Action-Selection & Explanations for Robot Block-Stacking Tasks.	CoRR	2023	DBLP DOI BibTeX RDF
10	Myeongjun Jang, Bodhisattwa Prasad Majumder, Julian J. McAuley, Thomas Lukasiewicz, Oana-Maria Camburu	KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Timothée Schmude, Laura Koesten, Torsten Möller, Sebastian Tschiatschek	On the Impact of Explanations on Understanding of Algorithmic Decision-Making.	CoRR	2023	DBLP DOI BibTeX RDF
10	Szymon Bobek, Grzegorz J. Nalepa	Local Universal Rule-based Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Dan Ley, Leonard Tang, Matthew Nazari, Hongjin Lin, Suraj Srinivas, Himabindu Lakkaraju	Consistent Explanations in the Face of Model Indeterminacy via Ensembling.	CoRR	2023	DBLP DOI BibTeX RDF
10	Nan-Jiang Jiang, Chenhao Tan, Marie-Catherine de Marneffe	Ecologically Valid Explanations for Label Variation in NLI.	CoRR	2023	DBLP DOI BibTeX RDF
10	Shruthi Chari, Prasant Acharya, Daniel M. Gruen, Olivia Zhang, Elif K. Eyigöz, Mohamed F. Ghalwash, Oshani Seneviratne, Fernando J. Suarez Saiz, Pablo Meyer 0001, Prithwish Chakraborty, Deborah L. McGuinness	Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes.	CoRR	2023	DBLP DOI BibTeX RDF
10	Aditya Shankar Pal, Debojyoti Biswas, Joy Mahapatra, Debasis Banerjee, Prantar Chakrabarti, Utpal Garain	Pathologist-Like Explanations Unveiled: an Explainable Deep Learning System for White Blood Cell Classification.	CoRR	2023	DBLP DOI BibTeX RDF
10	Reijo Jaakkola, Tomi Janhunen, Antti Kuusisto, Masood Feyzbakhsh Rankooh, Miikka Vilander	Short Boolean Formulas as Explanations in Practice.	CoRR	2023	DBLP DOI BibTeX RDF
10	Miquel Miró-Nicolau, Antoni Jaume-i-Capó, Gabriel Moyà-Alcover	Assessing Fidelity in XAI post-hoc techniques: A Comparative Study with Ground Truth Explanations Datasets.	CoRR	2023	DBLP DOI BibTeX RDF
10	Letitia Parcalabescu, Anette Frank	On Measuring Faithfulness of Natural Language Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Max Schemmer, Joshua Holstein, Niklas Bauer, Niklas Kühl 0001, Gerhard Satzger	Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series.	CoRR	2023	DBLP DOI BibTeX RDF
10	Gennie Mansi, Mark O. Riedl	Why Don't You Do Something About It? Outlining Connections between AI Explanations and User Actions.	CoRR	2023	DBLP DOI BibTeX RDF
10	Jakob Ambsdorf	Benchmarking Faithfulness: Towards Accurate Natural Language Explanations in Vision-Language Tasks.	CoRR	2023	DBLP DOI BibTeX RDF
10	Max Schemmer, Niklas Kühl 0001, Carina Benz, Andrea Bartos, Gerhard Satzger	Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Juan Sebastián Cañas, Francisco Gomez, Omar Costilla-Reyes	Counterfactual Explanations and Predictive Models to Enhance Clinical Decision-Making in Schizophrenia using Digital Phenotyping.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yotam Amitai, Guy Avni, Ofra Amir	ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents.	CoRR	2023	DBLP DOI BibTeX RDF
10	Aria Masoomi, Davin Hill, Zhonghui Xu, Craig P. Hersh, Edwin K. Silverman, Peter J. Castaldi, Stratis Ioannidis, Jennifer G. Dy	Explanations of Black-Box Models based on Directional Feature Interactions.	CoRR	2023	DBLP DOI BibTeX RDF
10	Vikram V. Ramaswamy, Sunnie S. Y. Kim, Ruth Fong, Olga Russakovsky	UFO: A unified method for controlling Understandability and Faithfulness Objectives in concept-based explanations for CNNs.	CoRR	2023	DBLP DOI BibTeX RDF
10	Mikihisa Yuasa, Huy T. Tran, Ramavarapu S. Sreenivas	On Generating Explanations for Reinforcement Learning Policies: An Empirical Study.	CoRR	2023	DBLP DOI BibTeX RDF
10	Eli Laird, Ayesh Madushanka, Elfi Kraka, Corey Clark	XInsight: Revealing Model Insights for GNNs with Flow-based Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Bardh Prenkaj, Mario Villaizán-Vallelado, Tobias Leemann, Gjergji Kasneci	Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes.	CoRR	2023	DBLP DOI BibTeX RDF
10	Satyapriya Krishna, Chirag Agarwal, Himabindu Lakkaraju	On the Trade-offs between Adversarial Robustness and Actionable Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yanda Chen, Ruiqi Zhong, Narutatsu Ri, Chen Zhao, He He 0001, Jacob Steinhardt, Zhou Yu, Kathleen R. McKeown	Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Masahiro Kaneko, Naoaki Okazaki	Controlled Generation with Prompt Insertion for Natural Language Explanations in Grammatical Error Correction.	CoRR	2023	DBLP DOI BibTeX RDF
10	Zilu Tang, Mayank Agarwal, Alex Shypula, Bailin Wang, Derry Wijaya, Jie Chen, Yoon Kim	Explain-then-Translate: An Analysis on Improving Program Translation with Self-generated Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Gabriele Tolomei	The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yingji Zhang, Danilo S. Carvalho, Ian Pratt-Hartmann, André Freitas	Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks.	CoRR	2023	DBLP DOI BibTeX RDF
10	Isar Nejadgholi, Svetlana Kiritchenko, Kathleen C. Fraser, Esma Balkir	Concept-Based Explanations to Test for False Causal Relationships Learned by Abusive Language Classifiers.	CoRR	2023	DBLP DOI BibTeX RDF