Analyzing Effects of Mixed Sample Data Augmentation on Model Interpretability

26 March 2023

Papers citing "Analyzing Effects of Mixed Sample Data Augmentation on Model Interpretability"

6 / 6 papers shown

Title
Occlusion Sensitivity Analysis with Augmentation Subspace Perturbation in Deep Feature Space Pedro Valois Koichiro Niinuma Kazuhiro Fukui AAML 15 4 0 25 Nov 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons Yong Hyun Ahn Gyeong-Moon Park Seong Tae Kim OODD 105 31 0 24 Mar 2023
HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 58 114 0 06 Dec 2021
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information Yang Zhang Ashkan Khakzar Yawei Li Azade Farshad Seong Tae Kim Nassir Navab FAtt XAI 44 27 0 04 Oct 2021
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization Saehyung Lee Hyungyu Lee Sungroh Yoon AAML 151 113 0 05 Mar 2020
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,170 0 01 Sep 2014