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Boost Neural Networks by Checkpoints

Boost Neural Networks by Checkpoints

3 October 2021
Feng Wang
Gu-Yeon Wei
Qiao Liu
Jinxiang Ou
Xian Wei
Hairong Lv
    FedML
    UQCV
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Papers citing "Boost Neural Networks by Checkpoints"

6 / 6 papers shown
Title
DeepVM: Integrating Spot and On-Demand VMs for Cost-Efficient Deep
  Learning Clusters in the Cloud
DeepVM: Integrating Spot and On-Demand VMs for Cost-Efficient Deep Learning Clusters in the Cloud
Yoochan Kim
Kihyun Kim
Yonghyeon Cho
Jinwoo Kim
Awais Khan
Ki-Dong Kang
B. An
Myung-Hoon Cha
H. Kim
Youngjae Kim
16
3
0
09 Mar 2024
Deep Model Fusion: A Survey
Deep Model Fusion: A Survey
Weishi Li
Yong Peng
Miao Zhang
Liang Ding
Han Hu
Li Shen
FedML
MoMe
33
52
0
27 Sep 2023
Training Ensembles with Inliers and Outliers for Semi-supervised Active
  Learning
Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning
Vladan Stojnić
Zakaria Laskar
Giorgos Tolias
37
0
0
07 Jul 2023
ASPEST: Bridging the Gap Between Active Learning and Selective
  Prediction
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction
Jiefeng Chen
Jinsung Yoon
Sayna Ebrahimi
Sercan Ö. Arik
S. Jha
Tomas Pfister
36
1
0
07 Apr 2023
Revisiting Checkpoint Averaging for Neural Machine Translation
Revisiting Checkpoint Averaging for Neural Machine Translation
Yingbo Gao
Christian Herold
Zijian Yang
Hermann Ney
MoMe
27
11
0
21 Oct 2022
Knowledge Distillation by On-the-Fly Native Ensemble
Knowledge Distillation by On-the-Fly Native Ensemble
Xu Lan
Xiatian Zhu
S. Gong
197
473
0
12 Jun 2018
1