Interpreting and Boosting Dropout from a Game-Theoretic View

Interpreting and Boosting Dropout from a Game-Theoretic View

24 September 2020

Papers citing "Interpreting and Boosting Dropout from a Game-Theoretic View"

16 / 16 papers shown

Title
Technical Report: Quantifying and Analyzing the Generalization Power of a DNN Yuxuan He Junpeng Zhang Lei Cheng Hongyuan Zhang Quanshi Zhang AI4CE 26 0 0 11 May 2025
Technical Note: Defining and Quantifying AND-OR Interactions for Faithful and Concise Explanation of DNNs Mingjie Li Quanshi Zhang 36 9 0 26 Apr 2023
Can the Inference Logic of Large Language Models be Disentangled into Symbolic Concepts? Wen Shen Lei Cheng Yuxiao Yang Mingjie Li Quanshi Zhang LRM 41 8 0 03 Apr 2023
Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts Qihan Ren Huiqi Deng Yunuo Chen Siyu Lou Quanshi Zhang BDL AAML 33 10 0 25 Feb 2023
Does a Neural Network Really Encode Symbolic Concepts? Mingjie Li Quanshi Zhang 29 30 0 25 Feb 2023
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation Zhendong Liu Wenyu Jiang Min Guo Chongjun Wang AAML 23 1 0 08 Dec 2022
Game-Theoretic Understanding of Misclassification Kosuke Sumiyasu K. Kawamoto Hiroshi Kera 40 1 0 07 Oct 2022
Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN Siyuan Li Di Wu Fang Wu Lei Shang Stan.Z.Li 34 48 0 27 May 2022
Discovering and Explaining the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions Fang Wu Siyuan Li Lirong Wu Dragomir R. Radev Stan Z. Li 27 2 0 15 May 2022
Excitement Surfeited Turns to Errors: Deep Learning Testing Framework Based on Excitable Neurons Haibo Jin Ruoxi Chen Haibin Zheng Jinyin Chen Yao Cheng Yue Yu Xianglong Liu AAML 28 6 0 12 Feb 2022
Discovering and Explaining the Representation Bottleneck of DNNs Huiqi Deng Qihan Ren Hao Zhang Quanshi Zhang 39 59 0 11 Nov 2021
Visualizing the Emergence of Intermediate Visual Patterns in DNNs Mingjie Li Shaobo Wang Quanshi Zhang 44 11 0 05 Nov 2021
A Unified Game-Theoretic Interpretation of Adversarial Robustness Jie Ren Die Zhang Yisen Wang Lu Chen Zhanpeng Zhou ... Xu Cheng Xin Wang Meng Zhou Jie Shi Quanshi Zhang AAML 72 22 0 12 Mar 2021
A Unified Approach to Interpreting and Boosting Adversarial Transferability Xin Wang Jie Ren Shuyu Lin Xiangming Zhu Yisen Wang Quanshi Zhang AAML 29 94 0 08 Oct 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,638 0 03 Jul 2012