Generating Visual Explanations

28 March 2016

Bernt Schiele

Papers citing "Generating Visual Explanations"

50 / 88 papers shown

Title
What Do People Want to Know About Artificial Intelligence (AI)? The Importance of Answering End-User Questions to Explain Autonomous Vehicle (AV) Decisions Somayeh Molaei Lionel P. Robert Nikola Banovic 26 0 0 09 May 2025
Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation N. Dennler S. Nikolaidis Maja J. Matarić 133 0 0 03 Jan 2025
Beyond Accuracy: On the Effects of Fine-tuning Towards Vision-Language Model's Prediction Rationality Qitong Wang Tang Li Kien X. Nguyen Xi Peng 85 0 0 17 Dec 2024
GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers Éloi Zablocki Valentin Gerard Amaia Cardiel Eric Gaussier Matthieu Cord Eduardo Valle 79 0 0 23 Nov 2024
Explanation Bottleneck Models Shinýa Yamaguchi Kosuke Nishida LRM BDL 49 1 0 26 Sep 2024
Towards Efficient and Robust VQA-NLE Data Generation with Large Vision-Language Models Patrick Amadeus Irawan Genta Indra Winata Samuel Cahyawijaya Ayu Purwarianti 29 0 0 23 Sep 2024
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach Adam Wojciechowski Mateusz Lango Ondrej Dusek FAtt 41 0 0 30 Jul 2024
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis Yue Yang Mona Gandhi Yufei Wang Yifan Wu Michael S. Yao Christopher Callison-Burch James C. Gee Mark Yatskar 48 3 0 23 May 2024
Convincing Rationales for Visual Question Answering Reasoning Kun Li G. Vosselman Michael Ying Yang 39 1 0 06 Feb 2024
PICNN: A Pathway towards Interpretable Convolutional Neural Networks Wengang Guo Jiayi Yang Huilin Yin Qijun Chen Wei Ye 26 3 0 19 Dec 2023
Overview of Class Activation Maps for Visualization Explainability Anh Pham Thi Minh HAI FAtt 26 5 0 25 Sep 2023
DeViL: Decoding Vision features into Language Meghal Dani Isabel Rio-Torto Stephan Alaniz Zeynep Akata VLM 40 7 0 04 Sep 2023
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods Robin Hesse Simone Schaub-Meyer Stefan Roth AAML 34 32 0 11 Aug 2023
Sustainable transparency in Recommender Systems: Bayesian Ranking of Images for Explainability Jorge Paz-Ruza Amparo Alonso-Betanzos Berta Guijarro-Berdiñas Brais Cancela Carlos Eiras-Franco BDL 29 5 0 27 Jul 2023
Explaining black box text modules in natural language with language models Chandan Singh Aliyah R. Hsu Richard Antonello Shailee Jain Alexander G. Huth Bin-Xia Yu Jianfeng Gao MILM 23 46 0 17 May 2023
Towards the Characterization of Representations Learned via Capsule-based Network Architectures Saja AL-Tawalbeh José Oramas 20 1 0 09 May 2023
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment Alejandro Peña Ignacio Serna Aythami Morales Julian Fierrez Alfonso Ortega Ainhoa Herrarte Manuel Alcántara J. Ortega-Garcia FaML 25 34 0 13 Feb 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 39 2 0 03 Jan 2023
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification Yue Yang Artemis Panagopoulou Shenghao Zhou Daniel Jin Chris Callison-Burch Mark Yatskar 40 211 0 21 Nov 2022
Diffusion Visual Counterfactual Explanations Maximilian Augustin Valentyn Boreiko Francesco Croce Matthias Hein DiffM BDL 32 68 0 21 Oct 2022
Explanations from Large Language Models Make Small Reasoners Better Shiyang Li Jianshu Chen Yelong Shen Zhiyu Zoey Chen Xinlu Zhang ... Jingu Qian Baolin Peng Yi Mao Wenhu Chen Xifeng Yan ReLM LRM 33 129 0 13 Oct 2022
Causality-Inspired Taxonomy for Explainable Artificial Intelligence Pedro C. Neto Tiago B. Gonccalves João Ribeiro Pinto W. Silva Ana F. Sequeira Arun Ross Jaime S. Cardoso XAI 28 12 0 19 Aug 2022
PARTICUL: Part Identification with Confidence measure using Unsupervised Learning Romain Xu-Darme Georges Quénot Zakaria Chihani M. Rousset 19 7 0 27 Jun 2022
Sparse Visual Counterfactual Explanations in Image Space Valentyn Boreiko Maximilian Augustin Francesco Croce Philipp Berens Matthias Hein BDL CML 30 26 0 16 May 2022
It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifiers Zheng Tang Mihai Surdeanu 19 6 0 25 Apr 2022
Can language models learn from explanations in context? Andrew Kyle Lampinen Ishita Dasgupta Stephanie C. Y. Chan Kory Matthewson Michael Henry Tessler Antonia Creswell James L. McClelland Jane X. Wang Felix Hill LRM ReLM 41 283 0 05 Apr 2022
Diffusion Models for Counterfactual Explanations Guillaume Jeanneret Loïc Simon F. Jurie DiffM 32 55 0 29 Mar 2022
NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks Fawaz Sammani Tanmoy Mukherjee Nikos Deligiannis MILM ELM LRM 16 67 0 09 Mar 2022
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF Jayneel Parekh Sanjeel Parekh Pavlo Mozharovskyi Florence dÁlché-Buc G. Richard 16 22 0 23 Feb 2022
Explanatory Learning: Beyond Empiricism in Neural Networks Antonio Norelli Giorgio Mariani Luca Moschella Andrea Santilli Giambattista Parascandolo Simone Melzi Emanuele Rodolà 14 2 0 25 Jan 2022
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations Siddhant Arora Danish Pruthi Norman M. Sadeh William W. Cohen Zachary Chase Lipton Graham Neubig FAtt 32 38 0 17 Dec 2021
Reframing Human-AI Collaboration for Generating Free-Text Explanations Sarah Wiegreffe Jack Hessel Swabha Swayamdipta Mark O. Riedl Yejin Choi 21 142 0 16 Dec 2021
D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding Dave Zhenyu Chen Qirui Wu Matthias Nießner Angel X. Chang 19 29 0 02 Dec 2021
A Framework for Learning to Request Rich and Contextually Useful Information from Humans Khanh Nguyen Yonatan Bisk Hal Daumé 33 16 0 14 Oct 2021
From Heatmaps to Structural Explanations of Image Classifiers Li Fuxin Zhongang Qi Saeed Khorram Vivswan Shitole Prasad Tadepalli Minsuk Kahng Alan Fern XAI FAtt 23 4 0 13 Sep 2021
IFBiD: Inference-Free Bias Detection Ignacio Serna Daniel DeAlcala Aythami Morales Julian Fierrez J. Ortega-Garcia CVBM 31 11 0 09 Sep 2021
From Show to Tell: A Survey on Deep Learning-based Image Captioning Matteo Stefanini Marcella Cornia Lorenzo Baraldi S. Cascianelli G. Fiameni Rita Cucchiara 3DV VLM MLLM 55 254 0 14 Jul 2021
Levels of explainable artificial intelligence for human-aligned conversational explanations Richard Dazeley Peter Vamplew Cameron Foale Charlotte Young Sunil Aryal F. Cruz 30 89 0 07 Jul 2021
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations Bodhisattwa Prasad Majumder Oana-Maria Camburu Thomas Lukasiewicz Julian McAuley 23 35 0 25 Jun 2021
Certification of embedded systems based on Machine Learning: A survey Guillaume Vidot Christophe Gabreau I. Ober Iulian Ober 6 12 0 14 Jun 2021
Measuring and Improving BERT's Mathematical Abilities by Predicting the Order of Reasoning Piotr Pikekos Henryk Michalewski Mateusz Malinowski 22 28 0 07 Jun 2021
Longer Version for "Deep Context-Encoding Network for Retinal Image Captioning" Jia-Hong Huang Ting-Wei Wu Chao-Han Huck Yang M. Worring MedIm 15 28 0 30 May 2021
A Review on Explainability in Multimodal Deep Neural Nets Gargi Joshi Rahee Walambe K. Kotecha 23 137 0 17 May 2021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts Gesina Schwalbe Bettina Finzel XAI 23 184 0 15 May 2021
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks Maxime Kayser Oana-Maria Camburu Leonard Salewski Cornelius Emde Virginie Do Zeynep Akata Thomas Lukasiewicz VLM 21 100 0 08 May 2021
A First Look: Towards Explainable TextVQA Models via Visual and Textual Explanations Varun Nagaraj Rao Xingjian Zhen K. Hovsepian Mingwei Shen 24 17 0 29 Apr 2021
Diagnosing Vision-and-Language Navigation: What Really Matters Wanrong Zhu Yuankai Qi P. Narayana Kazoo Sone Sugato Basu X. Wang Qi Wu M. Eckstein W. Wang LM&Ro 22 50 0 30 Mar 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 33 48 0 20 Mar 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges Éloi Zablocki H. Ben-younes P. Pérez Matthieu Cord XAI 37 169 0 13 Jan 2021
Explaining Deep Neural Networks Oana-Maria Camburu XAI FAtt 25 26 0 04 Oct 2020