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JITuNE: Just-In-Time Hyperparameter Tuning for Network Embedding Algorithms
Although AutoML methods have been applied to the hyperparameter tuning of NE algorithms, the problem of how to tune hyperparameters in a given period of time is not studied for NE algorithms before.
Variance Suppression: Balanced Training Process in Deep Learning
Due to this algorithm can suppress error variance, we named it Variance Suppression Gradient Descent (VSSGD).
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