CNN Explainer: Learning Convolutional Neural Networks with Interactive
Visualization

CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization

30 April 2020

Duen Horng Chau

Papers citing "CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization"

14 / 14 papers shown

Title
ChannelExplorer: Exploring Class Separability Through Activation Channel Visualization Md Rahat-uz- Zaman Bei Wang Paul Rosen 21 0 0 06 May 2025
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations Indu Panigrahi Sunnie S. Y. Kim Amna Liaqat Rohan Jinturkar Olga Russakovsky Ruth C. Fong Parastoo Abtahi FAtt HAI 57 0 0 14 Apr 2025
Transformer-Driven Inverse Problem Transform for Fast Blind Hyperspectral Image Dehazing Po-Wei Tang Chia-Hsiang Lin Yangrui Liu 45 6 0 03 Jan 2025
Explaining Predictions by Characteristic Rules Amr Alkhatib Henrik Bostrom Michalis Vazirgiannis 27 5 0 31 May 2024
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research Hariharan Subramonyam Jessica Hullman VLM HAI 27 8 0 10 Aug 2023
Visualization for Recommendation Explainability: A Survey and New Perspectives Mohamed Amine Chatti Mouadh Guesmi Arham Muslim XAI HAI LRM 30 5 0 19 May 2023
NOVA: A Practical Method for Creating Notebook-Ready Visual Analytics Zijie J. Wang David Munechika Seongmin Lee Duen Horng Chau GNN 41 10 0 08 May 2022
Visualizing the Emergence of Intermediate Visual Patterns in DNNs Mingjie Li Shaobo Wang Quanshi Zhang 27 11 0 05 Nov 2021
Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles G. Cantareira R. Mello F. Paulovich AAML 24 9 0 18 Mar 2021
Towards Accurate RGB-D Saliency Detection with Complementary Attention and Adaptive Integration Hong-bo Bi Ziqi Liu Kang Wang Bo Dong Geng Chen Jiquan Ma 36 10 0 08 Feb 2021
Damage detection using in-domain and cross-domain transfer learning Z. Bukhsh N. Jansen Aaqib Saeed 34 42 0 07 Feb 2021
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization Judy Borowski Roland S. Zimmermann Judith Schepers Robert Geirhos Thomas S. A. Wallis Matthias Bethge Wieland Brendel FAtt 39 7 0 23 Oct 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 34 79 0 17 Sep 2020
Analyzing the Noise Robustness of Deep Neural Networks Kelei Cao Mengchen Liu Hang Su Jing Wu Jun Zhu Shixia Liu AAML 60 89 0 26 Jan 2020