LCA: Loss Change Allocation for Neural Network Training
TL;DR
What actually happens when a model "trains"? What is each parameter's contribution to the loss change? LCA helps you catch "good" and "bad" weights during training.
Venue
In Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019).
BibTeX
@inproceedings{lan2019lca,
title={LCA: Loss change allocation for neural network training},
author={Lan, Janice and Liu, Rosanne and Zhou, Hattie and Yosinski, Jason},
booktitle={Advances in Neural Information Processing Systems},
pages={3614–3624},
year={2019}
}
title={LCA: Loss change allocation for neural network training},
author={Lan, Janice and Liu, Rosanne and Zhou, Hattie and Yosinski, Jason},
booktitle={Advances in Neural Information Processing Systems},
pages={3614–3624},
year={2019}
}
Date
September, 2019
Links