Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning

16 November 2016

Papers citing "Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning"

34 / 84 papers shown

Title
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
Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency Cheng-Ming Chiang Yu-Wen Tseng Yu-Syuan Xu Hsien-Kai Kuo Yi-Min Tsai ... Chia-Lin Yu B. Shen Kloze Kao Chia-Ming Cheng Hung-Jen Chen 27 22 0 27 Apr 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning Alex Renda Jonathan Frankle Michael Carbin 222 382 0 05 Mar 2020
Sparse Optimization for Green Edge AI Inference Xiangyu Yang Sheng Hua Yuanming Shi Hao Wang Jun Zhang Khaled B. Letaief 19 14 0 24 Feb 2020
Proving the Lottery Ticket Hypothesis: Pruning is All You Need Eran Malach Gilad Yehudai Shai Shalev-Shwartz Ohad Shamir 48 271 0 03 Feb 2020
Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent Dilin Wang Meng Li Lemeng Wu Vikas Chandra Qiang Liu 31 20 0 07 Oct 2019
How does topology influence gradient propagation and model performance of deep networks with DenseNet-type skip connections? Kartikeya Bhardwaj Guihong Li R. Marculescu 30 1 0 02 Oct 2019
Energy-Efficient Processing and Robust Wireless Cooperative Transmission for Edge Inference Kai Yang Yuanming Shi Wei Yu Z. Ding 16 42 0 29 Jul 2019
Similarity-Preserving Knowledge Distillation Frederick Tung Greg Mori 39 957 0 23 Jul 2019
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers Igor Fedorov Ryan P. Adams Matthew Mattina P. Whatmough 13 164 0 28 May 2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing Zhi Zhou Xu Chen En Li Liekang Zeng Ke Luo Junshan Zhang 19 1,418 0 24 May 2019
Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM Shaokai Ye Xiaoyu Feng Tianyun Zhang Xiaolong Ma Sheng Lin ... Jian Tang M. Fardad X. Lin Yongpan Liu Yanzhi Wang MQ 27 38 0 23 Mar 2019
Hardware-Guided Symbiotic Training for Compact, Accurate, yet Execution-Efficient LSTM Hongxu Yin Guoyang Chen Yingmin Li Shuai Che Weifeng Zhang N. Jha 22 10 0 30 Jan 2019
Trading-off Accuracy and Energy of Deep Inference on Embedded Systems: A Co-Design Approach Nitthilan Kanappan Jayakodi Anwesha Chatterjee Wonje Choi J. Doppa P. Pande 11 27 0 29 Jan 2019
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 24 162 0 31 Dec 2018
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression Yuchao Li Shaohui Lin Baochang Zhang Jianzhuang Liu David Doermann Yongjian Wu Feiyue Huang R. Ji 34 130 0 11 Dec 2018
Making BREAD: Biomimetic strategies for Artificial Intelligence Now and in the Future J. Krichmar William M. Severa Salar M. Khan J. Olds AI4CE 19 21 0 04 Dec 2018
HAQ: Hardware-Aware Automated Quantization with Mixed Precision Kuan-Chieh Jackson Wang Zhijian Liu Yujun Lin Ji Lin Song Han MQ 21 872 0 21 Nov 2018
QUENN: QUantization Engine for low-power Neural Networks Miguel de Prado Maurizio Denna Luca Benini Nuria Pazos MQ 27 14 0 14 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 26 38 0 17 Oct 2018
SCALE-Sim: Systolic CNN Accelerator Simulator A. Samajdar Yuhao Zhu P. Whatmough Matthew Mattina Tushar Krishna 16 136 0 16 Oct 2018
Hardware-Aware Machine Learning: Modeling and Optimization Diana Marculescu Dimitrios Stamoulis E. Cai 8 45 0 14 Sep 2018
Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking Haichuan Yang Yuhao Zhu Ji Liu CVBM 12 36 0 12 Jun 2018
MPDCompress - Matrix Permutation Decomposition Algorithm for Deep Neural Network Compression Lazar Supic R. Naous Ranko Sredojevic Aleksandra Faust Vladimir M. Stojanović 17 4 0 30 May 2018
Accelerating CNN inference on FPGAs: A Survey K. Abdelouahab Maxime Pelcat Jocelyn Serot F. Berry AI4CE 19 147 0 26 May 2018
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks Wenshuo Li Jincheng Yu Xuefei Ning Pengjun Wang Qi Wei Yu Wang Huazhong Yang AAML 31 61 0 14 May 2018
Quantization Mimic: Towards Very Tiny CNN for Object Detection Yi Wei Xinyu Pan Hongwei Qin Wanli Ouyang Junjie Yan ObjD 22 88 0 06 May 2018
SqueezeNext: Hardware-Aware Neural Network Design A. Gholami K. Kwon Bichen Wu Zizheng Tai Xiangyu Yue Peter H. Jin Sicheng Zhao Kurt Keutzer 14 295 0 23 Mar 2018
DeepWear: Adaptive Local Offloading for On-Wearable Deep Learning Mengwei Xu Feng Qian Mengze Zhu Feifan Huang Saumay Pushp Xuanzhe Liu 28 23 0 01 Dec 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian-jun Sun 32 2,503 0 19 Jul 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 15 479 0 24 May 2017
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision Amr Suleiman Yu-hsin Chen J. Emer Vivienne Sze 24 56 0 17 Mar 2017
Hardware for Machine Learning: Challenges and Opportunities Vivienne Sze Yu-hsin Chen Joel S. Einer Amr Suleiman Zhengdong Zhang 14 77 0 22 Dec 2016
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 183 2,947 0 15 Dec 2014