Towards Counterfactual and Contrastive Explainability and Transparency of DCNN Image Classifiers

Towards Counterfactual and Contrastive Explainability and Transparency of DCNN Image Classifiers

12 January 2025

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Papers citing "Towards Counterfactual and Contrastive Explainability and Transparency of DCNN Image Classifiers"

13 / 13 papers shown

Title
Faithful Counterfactual Visual Explanations (FCVE) Bismillah Khan Syed Ali Tariq Tehseen Zia Muhammad Ahsan David Windridge 87 1 0 12 Jan 2025
Understanding the Role of Individual Units in a Deep Neural Network David Bau Jun-Yan Zhu Hendrik Strobelt Àgata Lapedriza Bolei Zhou Antonio Torralba GAN 82 456 0 10 Sep 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 182 6,380 0 22 Oct 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI Erico Tjoa Cuntai Guan XAI 164 1,464 0 17 Jul 2019
Counterfactual Visual Explanations Yash Goyal Ziyan Wu Jan Ernst Dhruv Batra Devi Parikh Stefan Lee CML 95 511 0 16 Apr 2019
CE-Net: Context Encoder Network for 2D Medical Image Segmentation Zaiwang Gu Jun Cheng Huazhu Fu Kang Zhou Huaying Hao Yitian Zhao Tianyang Zhang Shenghua Gao Jiang-Dong Liu SSeg 90 1,651 0 07 Mar 2019
Techniques for Interpretable Machine Learning Mengnan Du Ninghao Liu Helen Zhou FaML 101 1,095 0 31 Jul 2018
Grounding Visual Explanations Lisa Anne Hendricks Ronghang Hu Trevor Darrell Zeynep Akata FAtt 59 230 0 25 Jul 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Ajmal Mian AAML 146 1,873 0 02 Jan 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 272 1,849 0 30 Nov 2017
Examining CNN Representations with respect to Dataset Bias Quanshi Zhang Wenguan Wang Song-Chun Zhu SSL FAtt 61 104 0 29 Oct 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.3K 17,197 0 16 Feb 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,705 0 01 Sep 2014