Introduction to 328 Holistic Filter Pruning For Efficient Deep Neural Networks
Let's dive into the details surrounding 328 Holistic Filter Pruning For Efficient Deep Neural Networks. Motivation ...
328 Holistic Filter Pruning For Efficient Deep Neural Networks Comprehensive Overview
The podcast discusses the AutoPruner paper, which addresses the challenge of computational We completed our 6 Week internship with Bennett University. This video contains the work that we did during our internship. Simplifying the Structure of a Trained Dnn ...
Authors: Patra, Rishabh; Hebbalaguppe, Ramya*; Dash, Tirtharaj; Shroff, Gautam; Vig, Lovekesh Description:
Summary & Highlights for 328 Holistic Filter Pruning For Efficient Deep Neural Networks
- Authors: Yang He, Yuhang Ding, Ping Liu, Linchao Zhu, Hanwang Zhang, Yi Yang Description:
- ... MRT：https://www.aminer.cn/pub/5eabf34391e011664ffd2878/trp-trained-rank-
- Large
- Authors: Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao Description:
- Video presentation accompanying the paper published at IEEE Big Data 2021, Orlando, USA. Paper: ...
That wraps up our extensive overview of 328 Holistic Filter Pruning For Efficient Deep Neural Networks.
