XGrad: Boosting Gradient-Based Optimizers With Weight Prediction
Author:
Affiliation:
1. Department of Mathematics, National University of Defense Technology, Changsha, Hunan, China
2. National Key Laboratory of Parallel and Distributed Computing, National University of Defense Technology, Changsha, Hunan, China
Funder
National Natural Science Foundation of China
State Administration for Science, Technology and Industry for National Defense
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/34/10666888/10496892.pdf?arnumber=10496892
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