Tejas Kannan, Henry Hoffmann. Budget RNNs: Multi-Capacity Neural Networks to Improve In-Sensor Inference Under Energy Budgets. In 27th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2021, Nashville, TN, USA, May 18-21, 2021. pages 143-156, IEEE, 2021. [doi]
@inproceedings{KannanH21,
title = {Budget RNNs: Multi-Capacity Neural Networks to Improve In-Sensor Inference Under Energy Budgets},
author = {Tejas Kannan and Henry Hoffmann},
year = {2021},
doi = {10.1109/RTAS52030.2021.00020},
url = {https://doi.org/10.1109/RTAS52030.2021.00020},
researchr = {https://researchr.org/publication/KannanH21},
cites = {0},
citedby = {0},
pages = {143-156},
booktitle = {27th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2021, Nashville, TN, USA, May 18-21, 2021},
publisher = {IEEE},
isbn = {978-1-6654-0386-3},
}