Sunarker / ContinuousParetoMTL

[ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning

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Efficient Continuous Pareto Exploration in Multi-Task Learning

Recommended Configuration

  • Ubuntu 18.04 or higher;
  • conda 4.8 or higher.

Installation

We will use $ROOT to refer to the root folder of this project, i.e., the folder that contains this README file. After downloading the source code, navigate to the root folder and create a conda environment:

cd $ROOT
conda env create -f environment.yml
conda activate cpmtl

Examples

Open up a terminal to launch Jupyter:

jupyter notebook

You can run the following Jupyter script to reproduce figures in the paper:

fig2.ipynb
fig3.ipynb
fig4.ipynb
fig5_multimnist.ipynb
fig5_uci.ipynb

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[ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning


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Language:Jupyter Notebook 88.6%Language:Python 11.4%