A Survey of Explainable AI in Deep Visual Modeling: Methods and Metrics

31 January 2023

Papers citing "A Survey of Explainable AI in Deep Visual Modeling: Methods and Metrics"

39 / 39 papers shown

Title
Interactive Concept Bottleneck Models Kushal Chauhan Rishabh Tiwari Jan Freyberg Pradeep Shenoy Krishnamurthy Dvijotham 88 56 0 14 Dec 2022
Towards Better Understanding Attribution Methods Sukrut Rao Moritz Bohle Bernt Schiele XAI 79 33 0 20 May 2022
HINT: Hierarchical Neuron Concept Explainer Andong Wang Wei-Ning Lee Xiaojuan Qi 59 19 0 27 Mar 2022
Rethinking Stability for Attribution-based Explanations Chirag Agarwal Nari Johnson Martin Pawelczyk Satyapriya Krishna Eshika Saxena Marinka Zitnik Himabindu Lakkaraju FAtt 88 53 0 14 Mar 2022
Do Explanations Explain? Model Knows Best Ashkan Khakzar Pedram J. Khorsandi Rozhin Nobahari Nassir Navab XAI AAML FAtt 36 24 0 04 Mar 2022
A Framework for Learning Ante-hoc Explainable Models via Concepts Anirban Sarkar Deepak Vijaykeerthy Anindya Sarkar V. Balasubramanian LRM BDL 88 50 0 25 Aug 2021
CAMERAS: Enhanced Resolution And Sanity preserving Class Activation Mapping for image saliency M. Jalwana Naveed Akhtar Bennamoun Ajmal Mian 52 56 0 20 Jun 2021
NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning C. Chang R. Caruana Anna Goldenberg AI4CE 93 80 0 03 Jun 2021
Explaining in Style: Training a GAN to explain a classifier in StyleSpace Oran Lang Yossi Gandelsman Michal Yarom Yoav Wald G. Elidan ... William T. Freeman Phillip Isola Amir Globerson Michal Irani Inbar Mosseri GAN 115 154 0 27 Apr 2021
On quantitative aspects of model interpretability An-phi Nguyen María Rodríguez Martínez 57 115 0 15 Jul 2020
Concept Bottleneck Models Pang Wei Koh Thao Nguyen Y. S. Tang Stephen Mussmann Emma Pierson Been Kim Percy Liang 103 835 0 09 Jul 2020
Compositional Explanations of Neurons Jesse Mu Jacob Andreas FAtt CoGe MILM 87 179 0 24 Jun 2020
Evaluating and Aggregating Feature-based Model Explanations Umang Bhatt Adrian Weller J. M. F. Moura XAI 97 226 0 01 May 2020
Neural Additive Models: Interpretable Machine Learning with Neural Nets Rishabh Agarwal Levi Melnick Nicholas Frosst Xuezhou Zhang Ben Lengerich R. Caruana Geoffrey E. Hinton 101 420 0 29 Apr 2020
Neuron Shapley: Discovering the Responsible Neurons Amirata Ghorbani James Zou FAtt TDI 54 113 0 23 Feb 2020
Concept Whitening for Interpretable Image Recognition Zhi Chen Yijie Bei Cynthia Rudin FAtt 99 322 0 05 Feb 2020
When Explanations Lie: Why Many Modified BP Attributions Fail Leon Sixt Maximilian Granz Tim Landgraf BDL FAtt XAI 88 132 0 20 Dec 2019
Sanity Checks for Saliency Metrics Richard J. Tomsett Daniel Harborne Supriyo Chakraborty Prudhvi K. Gurram Alun D. Preece XAI 103 170 0 29 Nov 2019
Towards Best Practice in Explaining Neural Network Decisions with LRP M. Kohlbrenner Alexander Bauer Shinichi Nakajima Alexander Binder Wojciech Samek Sebastian Lapuschkin 88 149 0 22 Oct 2019
Understanding Deep Networks via Extremal Perturbations and Smooth Masks Ruth C. Fong Mandela Patrick Andrea Vedaldi AAML 86 418 0 18 Oct 2019
Full-Gradient Representation for Neural Network Visualization Suraj Srinivas François Fleuret MILM FAtt 79 276 0 02 May 2019
Sanity Checks for Saliency Maps Julius Adebayo Justin Gilmer M. Muelly Ian Goodfellow Moritz Hardt Been Kim FAtt AAML XAI 152 1,972 0 08 Oct 2018
A Benchmark for Interpretability Methods in Deep Neural Networks Sara Hooker D. Erhan Pieter-Jan Kindermans Been Kim FAtt UQCV 125 683 0 28 Jun 2018
This Looks Like That: Deep Learning for Interpretable Image Recognition Chaofan Chen Oscar Li Chaofan Tao A. Barnett Jonathan Su Cynthia Rudin 270 1,187 0 27 Jun 2018
Towards Robust Interpretability with Self-Explaining Neural Networks David Alvarez-Melis Tommi Jaakkola MILM XAI 130 948 0 20 Jun 2018
RISE: Randomized Input Sampling for Explanation of Black-box Models Vitali Petsiuk Abir Das Kate Saenko FAtt 188 1,176 0 19 Jun 2018
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence Dong Huk Park Lisa Anne Hendricks Zeynep Akata Anna Rohrbach Bernt Schiele Trevor Darrell Marcus Rohrbach 85 424 0 15 Feb 2018
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler F. Viégas Rory Sayres FAtt 250 1,849 0 30 Nov 2017
The (Un)reliability of saliency methods Pieter-Jan Kindermans Sara Hooker Julius Adebayo Maximilian Alber Kristof T. Schütt Sven Dähne D. Erhan Been Kim FAtt XAI 109 689 0 02 Nov 2017
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks Aditya Chattopadhyay Anirban Sarkar Prantik Howlader V. Balasubramanian FAtt 119 2,311 0 30 Oct 2017
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 296 2,271 0 24 Jun 2017
Network Dissection: Quantifying Interpretability of Deep Visual Representations David Bau Bolei Zhou A. Khosla A. Oliva Antonio Torralba MILM FAtt 158 1,526 1 19 Apr 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 193 6,027 0 04 Mar 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 357 20,136 0 07 Oct 2016
Generating Visual Explanations Lisa Anne Hendricks Zeynep Akata Marcus Rohrbach Jeff Donahue Bernt Schiele Trevor Darrell VLM FAtt 99 621 0 28 Mar 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,071 0 16 Feb 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 253 9,342 0 14 Dec 2015
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 254 4,683 0 21 Dec 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 323 7,321 0 20 Dec 2013