The code of our Meta-Learning-Rate-Schecule Net is released. Welcome to use. - 孟徳宇的个人主页空间 - 孟 德宇
The code of our Meta-Learning-Rate-Schecule Net is released. Welcome to use.
Jun Shu, Yanwen Zhu, Qian Zhao, Deyu Meng, and Zongben Xu. MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022. [code][supplementary material]
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