Dynamic Sparse Graph for Efficient Deep Learning

Dynamic Sparse Graph for Efficient Deep Learning

1 October 2018

Lei Deng

Papers citing "Dynamic Sparse Graph for Efficient Deep Learning"

8 / 8 papers shown

Title
Breaking On-device Training Memory Wall: A Systematic Survey Shitian Li Chunlin Tian Kahou Tam Ruirui Ma Li Li 21 2 0 17 Jun 2023
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer Xuanyao Chen Zhijian Liu Haotian Tang Li Yi Hang Zhao Song Han ViT 26 46 0 30 Mar 2023
On-device Training: A First Overview on Existing Systems Shuai Zhu Thiemo Voigt Jeonggil Ko Fatemeh Rahimian 34 14 0 01 Dec 2022
BitTrain: Sparse Bitmap Compression for Memory-Efficient Training on the Edge Abdelrahman I. Hosny Marina Neseem Sherief Reda MQ 33 4 0 29 Oct 2021
Computation on Sparse Neural Networks: an Inspiration for Future Hardware Fei Sun Minghai Qin Tianyun Zhang Liu Liu Yen-kuang Chen Yuan Xie 29 7 0 24 Apr 2020
Sparse Weight Activation Training Md Aamir Raihan Tor M. Aamodt 32 72 0 07 Jan 2020
Active Subspace of Neural Networks: Structural Analysis and Universal Attacks Chunfeng Cui Kaiqi Zhang Talgat Daulbaev Julia Gusak Ivan V. Oseledets Zheng-Wei Zhang AAML 24 25 0 29 Oct 2019
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,743 0 26 Sep 2016