/ADL_Pytorch

Pytorch implementation of Autonomous Deep Learning (ADL)

Primary LanguageHTMLMIT LicenseMIT

ADL_Pytorch

Pytorch implementation of Autonomous Deep Learning (ADL) published in SDM 2019 titled "Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments. SDM 2019: 666-674"

datasets can be downloaded from "https://drive.google.com/drive/folders/1Kdkcdagctx1tX3bGIPo85XWIYKLAoMww?usp=sharing"

To run the code, one can go directly to .ipynb files. For example, if one wants to try ADL in SEA problem, one can go to ADL_sea.ipynb.

Our numerical results can be seen in the .html files.