Analyzing the Noise Robustness of Deep Neural Networks

Analyzing the Noise Robustness of Deep Neural Networks

26 January 2020

Hang Su

Jing Wu

Jun Zhu

Papers citing "Analyzing the Noise Robustness of Deep Neural Networks"

18 / 18 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
Stability of Explainable Recommendation Sairamvinay Vijayaraghavan Prasant Mohapatra AAML 38 1 0 03 May 2024
Understanding the Role of Pathways in a Deep Neural Network Lei Lyu Chen Pang Jihua Wang 27 3 0 28 Feb 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
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking Chang-Shu Liu Yinpeng Dong Wenzhao Xiang X. Yang Hang Su Junyi Zhu YueFeng Chen Yuan He H. Xue Shibao Zheng OOD VLM AAML 33 72 0 28 Feb 2023
A Visual Analytics System for Improving Attention-based Traffic Forecasting Models Seungmin Jin Hyunwoo Lee Cheonbok Park Hyeshin Chu Yunwon Tae Jaegul Choo Sungahn Ko 20 14 0 08 Aug 2022
Testing Feedforward Neural Networks Training Programs Houssem Ben Braiek Foutse Khomh AAML 11 14 0 01 Apr 2022
Self-Distillation from the Last Mini-Batch for Consistency Regularization Yiqing Shen Liwu Xu Yuzhe Yang Yaqian Li Yandong Guo 15 60 0 30 Mar 2022
Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework Junpeng Wang Liang Wang Yan Zheng Chin-Chia Michael Yeh Shubham Jain Wei Zhang FAtt 22 12 0 19 Jan 2022
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks Haekyu Park Nilaksh Das Rahul Duggal Austin P. Wright Omar Shaikh Fred Hohman Duen Horng Chau HAI 19 25 0 29 Aug 2021
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review Florian Tambon Gabriel Laberge Le An Amin Nikanjam Paulina Stevia Nouwou Mindom Y. Pequignot Foutse Khomh G. Antoniol E. Merlo François Laviolette 25 65 0 26 Jul 2021
Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles G. Cantareira R. Mello F. Paulovich AAML 16 9 0 18 Mar 2021
A Survey of Visual Analytics Techniques for Machine Learning Jun Yuan Changjian Chen Weikai Yang Mengchen Liu Jiazhi Xia Shixia Liu 21 216 0 21 Aug 2020
Revisiting the Modifiable Areal Unit Problem in Deep Traffic Prediction with Visual Analytics Wei Zeng Chengqiao Lin Juncong Lin Jincheng Jiang Jiazhi Xia Cagatay Turkay Wei-Neng Chen 24 27 0 30 Jul 2020
Diagnosing Concept Drift with Visual Analytics Weikai Yang Zhuguo Li Mengchen Liu Yafeng Lu Kelei Cao Ross Maciejewski Shixia Liu 45 33 0 28 Jul 2020
RANDOM MASK: Towards Robust Convolutional Neural Networks Tiange Luo Tianle Cai Mengxiao Zhang Siyu Chen Liwei Wang AAML OOD 19 17 0 27 Jul 2020
Defective Convolutional Networks Tiange Luo Tianle Cai Mengxiao Zhang Siyu Chen Di He Liwei Wang AAML 22 3 0 19 Nov 2019
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations Fred Hohman Haekyu Park Caleb Robinson Duen Horng Chau FAtt 3DH HAI 19 213 0 04 Apr 2019