Exploring Heterogeneous Characteristics of Layers in ASR Models for More Efficient Training

8 October 2021

Papers citing "Exploring Heterogeneous Characteristics of Layers in ASR Models for More Efficient Training"

4 / 4 papers shown

Title
Federated Pruning: Improving Neural Network Efficiency with Federated Learning Rongmei Lin Yonghui Xiao Tien-Ju Yang Ding Zhao Li Xiong Giovanni Motta Franccoise Beaufays FedML 39 12 0 14 Sep 2022
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 412 0 14 Jul 2021
Carbon Emissions and Large Neural Network Training David A. Patterson Joseph E. Gonzalez Quoc V. Le Chen Liang Lluís-Miquel Munguía D. Rothchild David R. So Maud Texier J. Dean AI4CE 253 644 0 21 Apr 2021
Echo State Speech Recognition H. Shrivastava Ankush Garg Yuan Cao Yu Zhang Tara N. Sainath 50 22 0 18 Feb 2021