Low Carbon Footprint Training for 1D-CNNs with Temporal Max-Pooling.
Anandharaju Durai Raju|Ke Wang
| Anthology ID: | DBLP:conf/cikm/Raju024 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 549-559 |
| URL: | https://doi.org/10.1145/3627673.3679678 |
| DOI: | https://doi.org/10.1145/3627673.3679678 |
| DBLP: | conf/cikm/Raju024 |
| BibTeX: |
@inproceedings{raju-2024-low,
author = {Anandharaju Durai Raju and
Ke Wang},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Low Carbon Footprint Training for 1D-CNNs with Temporal Max-Pooling}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {549--559},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679678},
doi = {https://doi.org/10.1145/3627673.3679678}
}