Learning Sparse Filters in Deep Convolutional Neural Networks with a l1/l2 Pseudo-Norm

20 Jul 2020Anthony BerthelierYongzhe YanThierry ChateauChristophe BlancStefan DuffnerChristophe Garcia

While deep neural networks (DNNs) have proven to be efficient for numerous tasks, they come at a high memory and computation cost, thus making them impractical on resource-limited devices. However, these networks are known to contain a large number of parameters... (read more)

PDF Abstract


No code implementations yet. Submit your code now


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