E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings

29 October 2019

Yue Wang

Papers citing "E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings"

26 / 26 papers shown

Title
AdaShadow: Responsive Test-time Model Adaptation in Non-stationary Mobile Environments Cheng Fang Sicong Liu Zimu Zhou Bin Guo Jiaqi Tang Ke Ma Zhiwen Yu TTA 31 1 0 10 Oct 2024
Cost-effective On-device Continual Learning over Memory Hierarchy with Miro Xinyue Ma Suyeon Jeong Minjia Zhang Di Wang Jonghyun Choi Myeongjae Jeon CLL 16 13 0 11 Aug 2023
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning Patrik Okanovic R. Waleffe Vasilis Mageirakos Konstantinos E. Nikolakakis Amin Karbasi Dionysis Kalogerias Nezihe Merve Gürel Theodoros Rekatsinas DD 45 12 0 28 May 2023
Efficient On-device Training via Gradient Filtering Yuedong Yang Guihong Li R. Marculescu 31 18 0 01 Jan 2023
Semantic Self-adaptation: Enhancing Generalization with a Single Sample Sherwin Bahmani Oliver Hahn Eduard Zamfir Nikita Araslanov Daniel Cremers Stefan Roth OOD TTA VLM 32 6 0 10 Aug 2022
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging Shishir G. Patil Paras Jain P. Dutta Ion Stoica Joseph E. Gonzalez 12 35 0 15 Jul 2022
GhostNets on Heterogeneous Devices via Cheap Operations Kai Han Yunhe Wang Chang Xu Jianyuan Guo Chunjing Xu Enhua Wu Qi Tian 19 102 0 10 Jan 2022
3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization, and Ultra-Low Latency Acceleration Yao Chen Cole Hawkins Kaiqi Zhang Zheng-Wei Zhang Cong Hao 18 8 0 11 May 2021
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization Tianlong Chen Zhenyu (Allen) Zhang Xu Ouyang Zechun Liu Zhiqiang Shen Zhangyang Wang MQ 37 36 0 16 Apr 2021
No frame left behind: Full Video Action Recognition X. Liu S. Pintea F. Karimi Nejadasl O. Booij J. C. V. Gemert 19 40 0 29 Mar 2021
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design Cong Hao Jordan Dotzel Jinjun Xiong Luca Benini Zhiru Zhang Deming Chen 50 34 0 25 Mar 2021
HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark Chaojian Li Zhongzhi Yu Yonggan Fu Yongan Zhang Yang Katie Zhao Haoran You Qixuan Yu Yue Wang Yingyan Lin 44 106 0 19 Mar 2021
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan A. De Rishabh K. Iyer OOD 88 188 0 27 Feb 2021
Adaptive Precision Training for Resource Constrained Devices Tian Huang Tao Luo Joey Tianyi Zhou 34 5 0 23 Dec 2020
Bringing AI To Edge: From Deep Learning's Perspective Di Liu Hao Kong Xiangzhong Luo Weichen Liu Ravi Subramaniam 52 116 0 25 Nov 2020
DNA: Differentiable Network-Accelerator Co-Search Yongan Zhang Y. Fu Weiwen Jiang Chaojian Li Haoran You Meng Li Vikas Chandra Yingyan Lin 23 17 0 28 Oct 2020
ShiftAddNet: A Hardware-Inspired Deep Network Haoran You Xiaohan Chen Yongan Zhang Chaojian Li Sicheng Li Zihao Liu Zhangyang Wang Yingyan Lin OOD MQ 73 76 0 24 Oct 2020
Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning Yawen Wu Zhepeng Wang Yiyu Shi J. Hu 16 44 0 07 Jul 2020
SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation Yang Katie Zhao Xiaohan Chen Yue Wang Chaojian Li Haoran You Y. Fu Yuan Xie Zhangyang Wang Yingyan Lin MQ 32 43 0 07 May 2020
TIMELY: Pushing Data Movements and Interfaces in PIM Accelerators Towards Local and in Time Domain Weitao Li Pengfei Xu Yang Katie Zhao Haitong Li Yuan Xie Yingyan Lin 9 68 0 03 May 2020
L $^2$ -GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks Yuning You Tianlong Chen Zhangyang Wang Yang Shen GNN 101 82 0 30 Mar 2020
DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures Yang Katie Zhao Chaojian Li Yue Wang Pengfei Xu Yongan Zhang Yingyan Lin 17 41 0 26 Feb 2020
AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs Pengfei Xu Xiaofan Zhang Cong Hao Yang Katie Zhao Yongan Zhang Yue Wang Chaojian Li Zetong Guan Deming Chen Yingyan Lin 23 88 0 06 Jan 2020
AdderNet: Do We Really Need Multiplications in Deep Learning? Hanting Chen Yunhe Wang Chunjing Xu Boxin Shi Chao Xu Qi Tian Chang Xu 18 194 0 31 Dec 2019
GhostNet: More Features from Cheap Operations Kai Han Yunhe Wang Qi Tian Jianyuan Guo Chunjing Xu Chang Xu 20 2,579 0 27 Nov 2019
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 281 2,889 0 15 Sep 2016