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"

37 / 37 papers shown

Title
Fast-DataShapley: Neural Modeling for Training Data Valuation Haifeng Sun Yu Xiong Runze Wu Xinyu Cai Changjie Fan Lan Zhang Xiang-Yang Li TDI 129 0 0 05 Jun 2025
Probabilistic Stability Guarantees for Feature Attributions Helen Jin Anton Xue Weiqiu You Surbhi Goel Eric Wong 157 1 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 164 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 274 3 0 03 Nov 2024
Interpret the Predictions of Deep Networks via Re-Label Distillation Yingying Hua Shiming Ge Daichi Zhang FAtt 124 0 0 20 Sep 2024
Feature CAM: Interpretable AI in Image Classification Frincy Clement Ji Yang Irene Cheng FAtt 43 1 0 08 Mar 2024
On Model Explanations with Transferable Neural Pathways Xinmiao Lin Wentao Bao Qi Yu Yu Kong 39 0 0 18 Sep 2023
FIND: A Function Description Benchmark for Evaluating Interpretability Methods Sarah Schwettmann Tamar Rott Shaham Joanna Materzyñska Neil Chowdhury Shuang Li Jacob Andreas David Bau Antonio Torralba 56 22 0 07 Sep 2023
ODAM: Gradient-based instance-specific visual explanations for object detection Chenyang Zhao Antoni B. Chan FAtt 58 10 0 13 Apr 2023
MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope Jingwei Zhang Farzan Farnia UQCV 71 4 0 08 Jan 2023
OCTET: Object-aware Counterfactual Explanations Mehdi Zemni Mickaël Chen Éloi Zablocki H. Ben-younes Patrick Pérez Matthieu Cord AAML 107 29 0 22 Nov 2022
NeuroMapper: In-browser Visualizer for Neural Network Training Zhiyan Zhou Kevin Wenliang Li Haekyu Park Megan Dass Austin P. Wright Nilaksh Das Duen Horng Chau 3DH 84 2 0 22 Oct 2022
Spatial-temporal Concept based Explanation of 3D ConvNets Yi Ji Yu Wang K. Mori Jien Kato 3DPC FAtt 85 7 0 09 Jun 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 178 423 0 20 Jan 2022
Making a Bird AI Expert Work for You and Me Dongliang Chang Kaiyue Pang Ruoyi Du Zhanyu Ma Yi-Zhe Song Jun Guo 124 11 0 06 Dec 2021
Reinforcement Explanation Learning Siddhant Agarwal Owais Iqbal Sree Aditya Buridi Madda Manjusha Abir Das FAtt 33 0 0 26 Nov 2021
STEEX: Steering Counterfactual Explanations with Semantics P. Jacob Éloi Zablocki H. Ben-younes Mickaël Chen P. Pérez Matthieu Cord 79 43 0 17 Nov 2021
Gradient Frequency Modulation for Visually Explaining Video Understanding Models Xinmiao Lin Wentao Bao Matthew Wright Yu Kong FAtt AAML 78 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 58 29 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 135 12 0 11 Oct 2021
NeuralMVS: Bridging Multi-View Stereo and Novel View Synthesis R. Rosu Sven Behnke 3DV 69 10 0 09 Aug 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 128 70 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 199 34 0 20 Apr 2021
Improving Attribution Methods by Learning Submodular Functions Piyushi Manupriya Tarun Ram Menta S. Jagarlapudi V. Balasubramanian TDI 91 6 0 19 Apr 2021
Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution Huiqi Deng Na Zou Weifu Chen Guo-Can Feng Mengnan Du Helen Zhou FAtt 71 6 0 14 Apr 2021
Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification Martin Charachon C´eline Hudelot P. Cournède Camille Ruppli R. Ardon AAML GAN FAtt MedIm 18 7 0 14 Dec 2020
Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels Xiangwei Shi Seyran Khademi Yun-qiang Li Jan van Gemert VLM WSOL 88 20 0 16 Oct 2020
Visualizing Color-wise Saliency of Black-Box Image Classification Models Yuhki Hatakeyama Hiroki Sakuma Yoshinori Konishi Kohei Suenaga FAtt 64 3 0 06 Oct 2020
A Diagnostic Study of Explainability Techniques for Text Classification Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein XAI FAtt 101 226 0 25 Sep 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 94 24 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 103 73 0 24 Jun 2020
Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks Chaojie Ji Ruxin Wang Hongyan Wu 67 7 0 21 Apr 2020
Improving Feature Attribution through Input-specific Network Pruning Ashkan Khakzar Soroosh Baselizadeh Saurabh Khanduja Christian Rupprecht S. T. Kim Nassir Navab FAtt 58 11 0 25 Nov 2019
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 276 6,386 0 22 Oct 2019
Explaining image classifiers by removing input features using generative models Chirag Agarwal Anh Totti Nguyen FAtt 100 15 0 09 Oct 2019
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks Mehdi Neshat Zifan Wang Bradley Alexander Fan Yang Zijian Zhang Sirui Ding Markus Wagner Helen Zhou FAtt 114 1,078 0 03 Oct 2019
Interpreting Layered Neural Networks via Hierarchical Modular Representation C. Watanabe 84 19 0 03 Oct 2018