Interpreting and Disentangling Feature Components of Various Complexity from DNNs

29 June 2020

Papers citing "Interpreting and Disentangling Feature Components of Various Complexity from DNNs"

6 / 6 papers shown

Title
A Differential Geometric View and Explainability of GNN on Evolving Graphs Yazheng Liu Xi Zhang Sihong Xie 21 3 0 11 Mar 2024
Cluster-CAM: Cluster-Weighted Visual Interpretation of CNNs' Decision in Image Classification Zhenpeng Feng H. Ji M. Daković Xiyang Cui Mingzhe Zhu Ljubisa Stankovic 24 7 0 03 Feb 2023
Interpretable Disentangled Parametrization of Measured BRDF with $β$ -VAE A. Benamira Sachin Shah S. Pattanaik 16 3 0 08 Aug 2022
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models Liu Zhendong Wenyu Jiang Yan Zhang Chongjun Wang CML 11 0 0 22 Jun 2022
Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature Representations Tao Guo Song Guo Jiewei Zhang Wenchao Xu Junxiao Wang MU 27 17 0 27 Feb 2022
Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware Criterion Yuanyuan Yuan Qi Pang Shuai Wang 35 22 0 03 Dec 2021