Boosting Network: Learn by Growing Filters and Layers via SplitLBI

no code implementations • 25 Sep 2019 • Zuyuan Zhong, Chen Liu, Yanwei Fu, Yuan YAO

Network structures are important to learning good representations of many tasks in computer vision and machine learning communities.

Neural Architecture Search

Exploring Structural Sparsity of Deep Networks via Inverse Scale Spaces

1 code implementation • 23 May 2019 • Yanwei Fu, Chen Liu, Donghao Li, Zuyuan Zhong, Xinwei Sun, Jinshan Zeng, Yuan YAO

To fill in this gap, this paper proposes a new approach based on differential inclusions of inverse scale spaces, which generate a family of models from simple to complex ones along the dynamics via coupling a pair of parameters, such that over-parameterized deep models and their structural sparsity can be explored simultaneously.