Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas, Nathan Baker. How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions?. In 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018, Lake Tahoe, NV, USA, March 12-15, 2018. pages 1340-1349, IEEE Computer Society, 2018. [doi]
@inproceedings{GohSVHB18,
title = {How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions?},
author = {Garrett B. Goh and Charles Siegel and Abhinav Vishnu and Nathan O. Hodas and Nathan Baker},
year = {2018},
doi = {10.1109/WACV.2018.00151},
url = {http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00151},
researchr = {https://researchr.org/publication/GohSVHB18},
cites = {0},
citedby = {0},
pages = {1340-1349},
booktitle = {2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018, Lake Tahoe, NV, USA, March 12-15, 2018},
publisher = {IEEE Computer Society},
isbn = {978-1-5386-4886-5},
}