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} }