PrUE: Distilling Knowledge from Sparse Teacher Networks

3 July 2022

Papers citing "PrUE: Distilling Knowledge from Sparse Teacher Networks"

3 / 3 papers shown

Title
ReffAKD: Resource-efficient Autoencoder-based Knowledge Distillation Divyang Doshi Jung-Eun Kim 31 1 0 15 Apr 2024
Large scale distributed neural network training through online distillation Rohan Anil Gabriel Pereyra Alexandre Passos Róbert Ormándi George E. Dahl Geoffrey E. Hinton FedML 278 404 0 09 Apr 2018
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 306 10,233 0 16 Nov 2016