Compressed Hierarchical Representations for Multi-Task Learning and Task Clustering

Authors: João Machado de Freitas, Sebastian Berg, Bernhard C. Geiger, Manfred Mücke

This repository is the official implementation of Compressed Hierarchical Representations for Multi-Task Learning and Task Clustering.

Instructions

Dependencies

To install requirements:

conda env create --file environment.yaml

Running

# Run:
jupyter notebook

# Or
jupyter notebook --no-browser --ip 0.0.0.0 --port <PORT> 

Citing

@INPROCEEDINGS{defreitas2022compressed,
  author={de Freitas, João Machado and Berg, Sebastian and Geiger, Bernhard C. and Mücke, Manfred},
  booktitle={2022 International Joint Conference on Neural Networks (IJCNN)}, 
  title={Compressed Hierarchical Representations for Multi-Task Learning and Task Clustering}, 
  year={2022},
  pages={01-08},
  doi={10.1109/IJCNN55064.2022.9892342}
}