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Variational Learning is Effective for Large Deep Networks (bibtex)
by Y Shen, N Daheim, B Cong, P Nickl, GM Marconi, C Bazan, R Yokota, I Gurevych, D Cremers, ME Khan and T Möllenhoff
Reference:
Variational Learning is Effective for Large Deep Networks (Y Shen, N Daheim, B Cong, P Nickl, GM Marconi, C Bazan, R Yokota, I Gurevych, D Cremers, ME Khan and T Möllenhoff), In International Conference on Machine Learning (ICML), 2024. ([code][blog][tutorial])
Bibtex Entry:
@inproceedings{shen2024variational,
title = {Variational Learning is Effective for Large Deep Networks},
author = {Y Shen and N Daheim and B Cong and P Nickl and GM Marconi and C Bazan and R Yokota and I Gurevych and D Cremers and ME Khan and T Möllenhoff},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2024},
award = {Spotlight},
eprint = {2402.17641},
eprinttype = {arXiv},
eprintclass = {cs.LG},
keywords = {deep learning},
}
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