Interpretable Compositional Convolutional Neural Networks

Interpretable Compositional Convolutional Neural Networks

9 July 2021

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Papers citing "Interpretable Compositional Convolutional Neural Networks"

14 / 14 papers shown

Title
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification Guillaume Jeanneret Loïc Simon F. Jurie ViT 158 0 0 24 Feb 2025
Layerwise Change of Knowledge in Neural Networks Xu Cheng Lei Cheng Zhaoran Peng Yang Xu Tian Han Quanshi Zhang KELM FAtt 74 5 0 13 Sep 2024
Improving Network Interpretability via Explanation Consistency Evaluation Hefeng Wu Hao Jiang Keze Wang Ziyi Tang Xianghuan He Liang Lin FAtt AAML 95 0 0 08 Aug 2024
Don't Forget Too Much: Towards Machine Unlearning on Feature Level Heng Xu Tianqing Zhu Wanlei Zhou Wei Zhao MU 80 5 0 16 Jun 2024
Path Choice Matters for Clear Attribution in Path Methods Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu 75 2 0 19 Jan 2024
A Large-Scale Empirical Study on Improving the Fairness of Image Classification Models Junjie Yang Jiajun Jiang Zeyu Sun Junjie Chen 61 3 0 08 Jan 2024
PICNN: A Pathway towards Interpretable Convolutional Neural Networks Wengang Guo Jiayi Yang Huilin Yin Qijun Chen Wei Ye 57 3 0 19 Dec 2023
Adversarial Attacks on the Interpretation of Neuron Activation Maximization Géraldin Nanfack A. Fulleringer Jonathan Marty Michael Eickenberg Eugene Belilovsky AAML FAtt 69 11 0 12 Jun 2023
DBAT: Dynamic Backward Attention Transformer for Material Segmentation with Cross-Resolution Patches Yuwen Heng S. Dasmahapatra Hansung Kim 112 1 0 06 May 2023
Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu AAML 88 7 0 18 Dec 2022
ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning Yu Fu Yu Xie Yanwei Fu Jingjing Chen Yu-Gang Jiang 77 16 0 11 Oct 2022
TCNL: Transparent and Controllable Network Learning Via Embedding Human-Guided Concepts Zhihao Wang Chuang Zhu 44 1 0 07 Oct 2022
Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification Quanshi Zhang Xu Cheng Yilan Chen Zhefan Rao 56 37 0 18 Aug 2022
Benchmarking and Survey of Explanation Methods for Black Box Models F. Bodria F. Giannotti Riccardo Guidotti Francesca Naretto D. Pedreschi S. Rinzivillo XAI 123 233 0 25 Feb 2021