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Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training

Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training

30 November 2020
Shuai Zhao
Liguang Zhou
Wenxiao Wang
D. Cai
Tin Lun Lam
Yangsheng Xu
ArXivPDFHTML

Papers citing "Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training"

8 / 8 papers shown
Title
Pathologies of Predictive Diversity in Deep Ensembles
Pathologies of Predictive Diversity in Deep Ensembles
Taiga Abe
E. Kelly Buchanan
Geoff Pleiss
John P. Cunningham
UQCV
38
13
0
01 Feb 2023
Slimmable Networks for Contrastive Self-supervised Learning
Slimmable Networks for Contrastive Self-supervised Learning
Shuai Zhao
Xiaohan Wang
Linchao Zhu
Yi Yang
22
1
0
30 Sep 2022
Context-aware Mixture-of-Experts for Unbiased Scene Graph Generation
Context-aware Mixture-of-Experts for Unbiased Scene Graph Generation
Liguang Zhou
Yuhongze Zhou
Tin Lun Lam
Yangsheng Xu
EDL
MoE
26
2
0
15 Aug 2022
Generalized Data Weighting via Class-level Gradient Manipulation
Generalized Data Weighting via Class-level Gradient Manipulation
Can Chen
Shuhao Zheng
Xi Chen
Erqun Dong
Xue Liu
Hao Liu
Dejing Dou
27
24
0
29 Oct 2021
Bag of Tricks for Image Classification with Convolutional Neural
  Networks
Bag of Tricks for Image Classification with Convolutional Neural Networks
Tong He
Zhi-Li Zhang
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
221
1,399
0
04 Dec 2018
A disciplined approach to neural network hyper-parameters: Part 1 --
  learning rate, batch size, momentum, and weight decay
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
L. Smith
202
1,019
0
26 Mar 2018
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,216
0
16 Nov 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
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