Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation

3 April 2024

Papers citing "Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation"

9 / 9 papers shown

Title
Towards energy-efficient Deep Learning: An overview of energy-efficient approaches along the Deep Learning Lifecycle Vanessa Mehlin Sigurd Schacht Carsten Lanquillon HAI MedIm 77 20 0 05 Feb 2023
MONAI: An open-source framework for deep learning in healthcare M. Jorge Cardoso Wenqi Li Richard Brown Nic Ma E. Kerfoot ... Klaus H. Maier-Hein S. Aylward Prerna Dogra Sebastien Ourselin Andrew Feng 129 507 0 04 Nov 2022
A Survey on Green Deep Learning Jingjing Xu Wangchunshu Zhou Zhiyi Fu Hao Zhou Lei Li VLM 157 84 0 08 Nov 2021
1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed Hanlin Tang Shaoduo Gan A. A. Awan Samyam Rajbhandari Conglong Li Xiangru Lian Ji Liu Ce Zhang Yuxiong He AI4CE 81 87 0 04 Feb 2021
Green AI Roy Schwartz Jesse Dodge Noah A. Smith Oren Etzioni 116 1,148 0 22 Jul 2019
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization Thijs Vogels Sai Praneeth Karimireddy Martin Jaggi 90 323 0 31 May 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 153 18,179 0 28 May 2019
Searching for MobileNetV3 Andrew G. Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen ... Yukun Zhu Ruoming Pang Vijay Vasudevan Quoc V. Le Hartwig Adam 359 6,804 0 06 May 2019
Deep Learning with Low Precision by Half-wave Gaussian Quantization Zhaowei Cai Xiaodong He Jian Sun Nuno Vasconcelos MQ 138 505 0 03 Feb 2017