Lookahead Optimizer: k steps forward, 1 step back

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Lookahead Optimizer: k steps forward, 1 step back

19 July 2019

Michael Ruogu Zhang

Geoffrey E. Hinton

Jimmy Ba

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

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Title
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 Baptiste Barreau Laurent Carlier D. Challet 35 1 0 11 Sep 2019
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 Diganta Misra 147 681 0 23 Aug 2019
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 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 Hongfei Xu Qiuhui Liu 76 19 0 18 Mar 2019