Learn From the Past: Experience Ensemble Knowledge Distillation

Learn From the Past: Experience Ensemble Knowledge Distillation

25 February 2022

Gao Huang

Papers citing "Learn From the Past: Experience Ensemble Knowledge Distillation"

7 / 7 papers shown

Title
Computation-efficient Deep Learning for Computer Vision: A Survey Yulin Wang Yizeng Han Chaofei Wang Shiji Song Qi Tian Gao Huang VLM 26 20 0 27 Aug 2023
Boosting Residual Networks with Group Knowledge Shengji Tang Peng Ye Baopu Li Wei Lin Tao Chen Tong He Chong Yu Wanli Ouyang 38 5 0 26 Aug 2023
A Survey of Historical Learning: Learning Models with Learning History Xiang Li Ge Wu Lingfeng Yang Wenzhe Wang Renjie Song Jian Yang MU AI4TS 23 2 0 23 Mar 2023
Learning Student-Friendly Teacher Networks for Knowledge Distillation D. Park Moonsu Cha C. Jeong Daesin Kim Bohyung Han 113 100 0 12 Feb 2021
Knowledge Distillation by On-the-Fly Native Ensemble Xu Lan Xiatian Zhu S. Gong 187 473 0 12 Jun 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,471 0 17 Apr 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 265 10,196 0 16 Nov 2016