Explainable AI: Interpreting, Explaining and Visualizing Deep Learning

Keywords

Computer scienceArtificial intelligenceDeep learningCognitive sciencePsychology

Affiliated Institutions

Related Publications

Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks

Haofan Wang , Zifan Wang , Mengnan Du +5 more

Recently, increasing attention has been drawn to the internal mechanisms of convolutional neural networks, and the reason why the network makes specific decisions. In this paper...

2020 1186 citations

Causability and explainability of artificial intelligence in medicine

Andreas Holzinger , Georg Langs , Helmut Denk +2 more

Explainable artificial intelligence (AI) is attracting much interest in medicine. Technically, the problem of explainability is as old as AI itself and classic AI represented co...

2019 Wiley Interdisciplinary Reviews Data ... 1471 citations

This Looks Like That: Deep Learning for Interpretable Image Recognition

Chaofan Chen , Oscar Li , Chaofan Tao +3 more

When we are faced with challenging image classification tasks, we often explain our reasoning by dissecting the image, and pointing out prototypical aspects of one class or anot...

2018 arXiv (Cornell University) 562 citations

Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks

Aditya Chattopadhay , Anirban Sarkar , Prantik Howlader +1 more

Over the last decade, Convolutional Neural Network (CNN) models have been\nhighly successful in solving complex vision problems. However, these deep\nmodels are perceived as "bl...

2018 2018 IEEE Winter Conference on Applic... 2688 citations

Influence-Directed Explanations for Deep Convolutional Networks

K. Rustan M. Leino , Shayak Sen , Anupam Datta +2 more

We study the problem of explaining a rich class of behavioral properties of deep neural networks. Distinctively, our influence-directed explanations approach this problem by pee...

2018 54 citations

Publication Info

Year: 2019
Type: book
Citations: 1257
Access: Closed

External Links

View on DOI.org

Social Impact

Altmetric

Explainable AI: Interpreting, Explaining and Visualizing Deep Learning

PlumX Metrics

Social media, news, blog, policy document mentions

Citation Metrics

1257

OpenAlex

Cite This

APA Style

                            
                                    Wojciech Samek, 
                                
                                    Grégoire Montavon, 
                                
                                    Andrea Vedaldi
                                
                                et al.
                            
                            (2019). 
                            Explainable AI: Interpreting, Explaining and Visualizing Deep Learning. 
                            Lecture notes in computer science
                            
                            .
                            https://doi.org/10.1007/978-3-030-28954-6

Identifiers

DOI: 10.1007/978-3-030-28954-6