NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm

6 November 2017

Papers citing "NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm"

8 / 58 papers shown

Title
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers Ao Ren Tianyun Zhang Shaokai Ye Jiayu Li Wenyao Xu Xuehai Qian X. Lin Yanzhi Wang MQ 40 161 0 31 Dec 2018
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation Xiaoliang Dai Peizhao Zhang Bichen Wu Hongxu Yin Fei Sun ... Yiming Wu Yangqing Jia Peter Vajda M. Uyttendaele N. Jha 33 272 0 21 Dec 2018
RePr: Improved Training of Convolutional Filters Aaditya (Adi) Prakash J. Storer D. Florêncio Cha Zhang VLM CVBM 35 57 0 18 Nov 2018
Progressive Weight Pruning of Deep Neural Networks using ADMM Shaokai Ye Tianyun Zhang Kaiqi Zhang Jiayu Li Kaidi Xu ... M. Fardad Sijia Liu Xiang Chen X. Lin Yanzhi Wang AI4CE 37 38 0 17 Oct 2018
Hardware-Aware Machine Learning: Modeling and Optimization Diana Marculescu Dimitrios Stamoulis E. Cai 19 45 0 14 Sep 2018
Grow and Prune Compact, Fast, and Accurate LSTMs Xiaoliang Dai Hongxu Yin N. Jha VLM SyDa 31 90 0 30 May 2018
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers Tianyun Zhang Shaokai Ye Kaiqi Zhang Jian Tang Wujie Wen M. Fardad Yanzhi Wang 30 434 0 10 Apr 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 274 5,330 0 05 Nov 2016