most citedBypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing

4 citations · 4 across the 3 of their papers we have counts for

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cs.LG2022★ 4 cited

Bypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing

Josh Alman, Jiehao Liang, Zhao Song +2

Over the last decade, deep neural networks have transformed our society, and they are already widely applied in various machine learning applications. State-of-art deep neural netw…

cs.LG2022

Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory

Jiehao Liang, Zhao Song, Zhaozhuo Xu +2

Kernel density estimation (KDE) stands out as a challenging task in machine learning. The problem is defined in the following way: given a kernel function and a set of poi…