KernelNet: A Data-Dependent Kernel Parameterization for Deep Generative Modeling

2 Dec 2019Yufan ZhouChangyou ChenJinhui Xu

Learning with kernels is an important concept in machine learning. Standard approaches for kernel methods often use predefined kernels that require careful selection of hyperparameters... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Tasks


Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper