ResearchTrend.AI
Students are the Best Teacher: Exit-Ensemble Distillation with Multi-Exits

Students are the Best Teacher: Exit-Ensemble Distillation with Multi-Exits

Hojung Lee
Jong-Seok Lee
ArXivPDFHTML

Papers citing "Students are the Best Teacher: Exit-Ensemble Distillation with Multi-Exits"

3 / 3 papers shown
Title
Anticipate, Ensemble and Prune: Improving Convolutional Neural Networks via Aggregated Early Exits
Anticipate, Ensemble and Prune: Improving Convolutional Neural Networks via Aggregated Early Exits
Simone Sarti
Eugenio Lomurno
Matteo Matteucci
27
4
0
28 Jan 2023
Joint Speech Activity and Overlap Detection with Multi-Exit Architecture
Joint Speech Activity and Overlap Detection with Multi-Exit Architecture
Ziqing Du
Kai Liu
Xucheng Wan
Huan Zhou
25
0
0
24 Sep 2022
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
327
10,237
0
16 Nov 2016