Tree Receptive Fields

This repository is associated with the following paper:

Xiaopeng Li*, Zhourong Chen* and Nevin L. Zhang. Building Sparse Deep Feedforward Networks using Tree Receptive Fields. IJCAI 2018.

Environment Requirements

The dataset for Agnews is put under dataset/ for demo. To run the program with Agnews dataset, simply run

bash run-test_treeconvfc-agnews.qsub.sh

The driving script for TRFNet with global neurons is test_treeconvfc.py. The driving script for TRFNet with TRF neurons only is test_treeconv.py.

Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
dataset		dataset
lib		lib
logs		logs
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
check_sparsity.py		check_sparsity.py
interpretability.py		interpretability.py
measure_mi_time.py		measure_mi_time.py
run-test_treeconvfc-agnews.qsub.sh		run-test_treeconvfc-agnews.qsub.sh
run-test_treeconvfc-binary.qsub.sh		run-test_treeconvfc-binary.qsub.sh
test_treeconv.py		test_treeconv.py
test_treeconvfc-bin.py		test_treeconvfc-bin.py
test_treeconvfc.py		test_treeconvfc.py