Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks

7 August 2019

Papers citing "Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks"

25 / 25 papers shown

Title
Probabilistic Stability Guarantees for Feature Attributions Helen Jin Anton Xue Weiqiu You Surbhi Goel Eric Wong 29 0 0 18 Apr 2025
GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers Éloi Zablocki Valentin Gerard Amaia Cardiel Eric Gaussier Matthieu Cord Eduardo Valle 84 0 0 23 Nov 2024
SPES: Spectrogram Perturbation for Explainable Speech-to-Text Generation Dennis Fucci Marco Gaido Beatrice Savoldi Matteo Negri Mauro Cettolo L. Bentivogli 57 1 0 03 Nov 2024
Interpret the Predictions of Deep Networks via Re-Label Distillation Yingying Hua Shiming Ge Daichi Zhang FAtt 33 0 0 20 Sep 2024
Human-inspired Explanations for Vision Transformers and Convolutional Neural Networks Mahadev Prasad Panda Matteo Tiezzi Martina Vilas Gemma Roig Bjoern M. Eskofier Dario Zanca ViT AAML 41 1 0 04 Aug 2024
Feature CAM: Interpretable AI in Image Classification Frincy Clement Ji Yang Irene Cheng FAtt 36 1 0 08 Mar 2024
Overview of Class Activation Maps for Visualization Explainability Anh Pham Thi Minh HAI FAtt 38 5 0 25 Sep 2023
MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope Jingwei Zhang Farzan Farnia UQCV 36 3 0 08 Jan 2023
OCTET: Object-aware Counterfactual Explanations Mehdi Zemni Mickaël Chen Éloi Zablocki H. Ben-younes Patrick Pérez Matthieu Cord AAML 29 29 0 22 Nov 2022
NeuroMapper: In-browser Visualizer for Neural Network Training Zhiyan Zhou Kevin Li Haekyu Park Megan Dass Austin P. Wright Nilaksh Das Duen Horng Chau 3DH 20 2 0 22 Oct 2022
Spatial-temporal Concept based Explanation of 3D ConvNets Yi Ji Yu Wang K. Mori Jien Kato 3DPC FAtt 29 7 0 09 Jun 2022
STEEX: Steering Counterfactual Explanations with Semantics P. Jacob Éloi Zablocki H. Ben-younes Mickaël Chen P. Pérez Matthieu Cord 19 43 0 17 Nov 2021
Gradient Frequency Modulation for Visually Explaining Video Understanding Models Xinmiao Lin Wentao Bao Matthew Wright Yu Kong FAtt AAML 30 2 0 01 Nov 2021
Explainable, automated urban interventions to improve pedestrian and vehicle safety Cristina Bustos Daniel Rhoads Albert Solé-Ribalta David Masip Alexandre Arenas Àgata Lapedriza Javier Borge-Holthoefer 26 27 0 22 Oct 2021
TSGB: Target-Selective Gradient Backprop for Probing CNN Visual Saliency Lin Cheng Pengfei Fang Yanjie Liang Liao Zhang Chunhua Shen Hanzi Wang FAtt 27 11 0 11 Oct 2021
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review Florian Tambon Gabriel Laberge Le An Amin Nikanjam Paulina Stevia Nouwou Mindom Y. Pequignot Foutse Khomh G. Antoniol E. Merlo François Laviolette 37 66 0 26 Jul 2021
Revisiting The Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis Samuele Poppi Marcella Cornia Lorenzo Baraldi Rita Cucchiara FAtt 131 33 0 20 Apr 2021
Improving Attribution Methods by Learning Submodular Functions Piyushi Manupriya Tarun Ram Menta S. Jagarlapudi V. Balasubramanian TDI 27 6 0 19 Apr 2021
Visualizing Color-wise Saliency of Black-Box Image Classification Models Yuhki Hatakeyama Hiroki Sakuma Yoshinori Konishi Kohei Suenaga FAtt 22 3 0 06 Oct 2020
Counterfactual Explanation Based on Gradual Construction for Deep Networks Hong G Jung Sin-Han Kang Hee-Dong Kim Dong-Ok Won Seong-Whan Lee OOD FAtt 25 22 0 05 Aug 2020
Generative causal explanations of black-box classifiers Matthew R. O’Shaughnessy Gregory H. Canal Marissa Connor Mark A. Davenport Christopher Rozell CML 30 73 0 24 Jun 2020
Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks Chaojie Ji Ruxin Wang Hongyan Wu 31 7 0 21 Apr 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 41 6,119 0 22 Oct 2019
Interpreting Layered Neural Networks via Hierarchical Modular Representation C. Watanabe 21 19 0 03 Oct 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 308 5,847 0 08 Jul 2016