Restructuring Batch Normalization to Accelerate CNN Training

Restructuring Batch Normalization to Accelerate CNN Training

4 July 2018

and Byeongho Kim

Jung Ho Ahn

Papers citing "Restructuring Batch Normalization to Accelerate CNN Training"

16 / 16 papers shown

Title
Robust Brain MRI Image Classification with SIBOW-SVM Liyun Zeng Hao Helen Zhang 19 1 0 15 Nov 2023
Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey Sicong Liu Bin Guo Cheng Fang Ziqi Wang Shiyan Luo Zimu Zhou Zhiwen Yu AI4CE 23 22 0 27 Sep 2023
Towards Efficient In-memory Computing Hardware for Quantized Neural Networks: State-of-the-art, Open Challenges and Perspectives O. Krestinskaya Li Zhang K. Salama 6 7 0 08 Jul 2023
AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments Hao Wen Yuanchun Li Zunshuai Zhang Shiqi Jiang Xiaozhou Ye Ouyang Ye Yaqin Zhang Yunxin Liu 82 29 0 13 Mar 2023
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators Mingi Yoo Jaeyong Song Jounghoo Lee Namhyung Kim Youngsok Kim Jinho Lee GNN 33 17 0 25 Jan 2023
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators Min-hee Yoo Jaeyong Song Hyeyoon Lee Jounghoo Lee Namhyung Kim Youngsok Kim Jinho Lee GNN 28 5 0 24 Jan 2023
LightNorm: Area and Energy-Efficient Batch Normalization Hardware for On-Device DNN Training Seock-Hwan Noh Junsang Park Dahoon Park Jahyun Koo Jeik Choi Jaeha Kung 14 9 0 04 Nov 2022
FlexBlock: A Flexible DNN Training Accelerator with Multi-Mode Block Floating Point Support Seock-Hwan Noh Jahyun Koo Seunghyun Lee Jongse Park Jaeha Kung AI4CE 24 17 0 13 Mar 2022
Towards Efficient Full 8-bit Integer DNN Online Training on Resource-limited Devices without Batch Normalization Yukuan Yang Xiaowei Chi Lei Deng Tianyi Yan Feng Gao Guoqi Li MQ 18 6 0 27 May 2021
Optimizing the Whole-life Cost in End-to-end CNN Acceleration Jiaqi Zhang Xiangru Chen S. Ray 6 8 0 12 Apr 2021
GradPIM: A Practical Processing-in-DRAM Architecture for Gradient Descent Heesu Kim Hanmin Park Taehyun Kim Kwanheum Cho Eojin Lee Soojung Ryu Hyuk-Jae Lee Kiyoung Choi Jinho Lee 11 36 0 15 Feb 2021
Daydream: Accurately Estimating the Efficacy of Optimizations for DNN Training Hongyu Zhu Amar Phanishayee Gennady Pekhimenko 13 52 0 05 Jun 2020
Centaur: A Chiplet-based, Hybrid Sparse-Dense Accelerator for Personalized Recommendations Ranggi Hwang Taehun Kim Youngeun Kwon Minsoo Rhu 8 103 0 12 May 2020
Multi-lane Detection Using Instance Segmentation and Attentive Voting D. Chang Vinjohn V. Chirakkal Shubham Goswami Munawar Hasan Taek-Hoon Jung Jinkeon Kang S. Kee Dongkyu Lee Ajit Pratap Singh 11 18 0 01 Jan 2020
Online Normalization for Training Neural Networks Vitaliy Chiley I. Sharapov Atli Kosson Urs Koster R. Reece S. D. L. Fuente Vishal Subbiah Michael James OnRL 13 54 0 15 May 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016