Discrimination-aware Channel Pruning for Deep Neural Networks

NeurIPS 2018 Zhuangwei ZhuangMingkui TanBohan ZhuangJing LiuYong GuoQingyao WuJunzhou HuangJinhui Zhu

Channel pruning is one of the predominant approaches for deep model compression. Existing pruning methods either train from scratch with sparsity constraints on channels, or minimize the reconstruction error between the pre-trained feature maps and the compressed ones... (read more)

PDF Abstract

Evaluation results from the paper


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