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Lookahead Optimizer: k steps forward, 1 step back
v1v2 (latest)

Lookahead Optimizer: k steps forward, 1 step back

19 July 2019
Michael Ruogu Zhang
James Lucas
Geoffrey E. Hinton
Jimmy Ba
    ODL
ArXiv (abs)PDFHTML

Papers citing "Lookahead Optimizer: k steps forward, 1 step back"

7 / 357 papers shown
Title
Improving Federated Learning Personalization via Model Agnostic Meta
  Learning
Improving Federated Learning Personalization via Model Agnostic Meta Learning
Yihan Jiang
Jakub Konecný
Keith Rush
Sreeram Kannan
FedML
92
605
0
27 Sep 2019
Deep Prediction of Investor Interest: a Supervised Clustering Approach
Deep Prediction of Investor Interest: a Supervised Clustering Approach
Baptiste Barreau
Laurent Carlier
D. Challet
35
1
0
11 Sep 2019
Kinematic Single Vehicle Trajectory Prediction Baselines and
  Applications with the NGSIM Dataset
Kinematic Single Vehicle Trajectory Prediction Baselines and Applications with the NGSIM Dataset
Jean Pierre Mercat
N. Zoghby
G. Sandou
D. Beauvois
Guillermo Pita Gil
AI4TS
63
17
0
29 Aug 2019
Mish: A Self Regularized Non-Monotonic Activation Function
Mish: A Self Regularized Non-Monotonic Activation Function
Diganta Misra
147
681
0
23 Aug 2019
Use What You Have: Video Retrieval Using Representations From
  Collaborative Experts
Use What You Have: Video Retrieval Using Representations From Collaborative Experts
Yang Liu
Samuel Albanie
Arsha Nagrani
Andrew Zisserman
91
391
0
31 Jul 2019
An Adaptive Remote Stochastic Gradient Method for Training Neural
  Networks
An Adaptive Remote Stochastic Gradient Method for Training Neural Networks
Yushu Chen
Hao Jing
Wenlai Zhao
Zhiqiang Liu
Haohuan Fu
Lián Qiao
Wei Xue
Guangwen Yang
ODL
92
2
0
04 May 2019
Neutron: An Implementation of the Transformer Translation Model and its
  Variants
Neutron: An Implementation of the Transformer Translation Model and its Variants
Hongfei Xu
Qiuhui Liu
76
19
0
18 Mar 2019
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