Neural Surveillance: Unveiling the Enigma of Latent Dynamics Evolution through Live-Update Visualization

A live-update visualization method for monitoring the training process of DNNs!

Table of Contents

• Installation
• Usage
• License
• Contact
• Citation

Installation

Dependencies

Please run the following commands in the command line:

$ conda create -n sentrycam python=3.8
$ git clone https://github.com/xianglinyang/SentryCam.git
$ pip -r install requirements.txt

To install torch, please check link.

Usage

Please see our wiki for more details.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

If you have any questions, please feel free to reach out to me at xianglin@u.nus.edu.

Reproducibility

./simulation.sh

Citation

If you find our tool helpful, please cite the following paper:

@inproceedings{yang2023deepdebugger,
  title={DeepDebugger: An Interactive Time-Travelling Debugging Approach for Deep Classifiers},
  author={Yang, Xianglin and Lin, Yun and Zhang, Yifan and Huang, Linpeng and Dong, Jin Song and Mei, Hong},
  booktitle={Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering},
  pages={973--985},
  year={2023}
},
@inproceedings{yang2022temporality,
  title={Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training},
  author={Yang, Xianglin and Lin, Yun and Liu, Ruofan and Dong, Jin Song},
  booktitle = {Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, {IJCAI-22}},
  year={2022}
},
@inproceedings{yang2022deepvisualinsight,
  title={DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training},
  author={Yang, Xianglin and Lin, Yun and Liu, Ruofan and He, Zhenfeng and Wang, Chao and Dong, Jin Song and Mei, Hong},
  booktitle = {The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI)},
  year={2022}
}