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"

50 / 84 papers shown

Title
How Do Companies Manage the Environmental Sustainability of AI? An Interview Study About Green AI Efforts and Regulations Ashmita Sampatsing Sophie Vos Emma Beauxis-Aussalet Justus Bogner 30 0 0 12 May 2025
Revisiting DNN Training for Intermittently-Powered Energy-Harvesting Micro-Computers Cyan Subhra Mishra Deeksha Chaudhary Jack Sampson Mahmut Taylan Knademir Chita R. Das 43 0 0 28 Jan 2025
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks Giulia Fracastoro Sophie M. Fosson Andrea Migliorati G. Calafiore 38 1 0 19 Jan 2025
On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance Jaskirat Singh Bram Adams Ahmed E. Hassan VLM 36 0 0 01 Nov 2024
Quality Scalable Quantization Methodology for Deep Learning on Edge S. Khaliq Rehan Hafiz MQ 35 1 0 15 Jul 2024
BOLD: Boolean Logic Deep Learning Van Minh Nguyen Cristian Ocampo Aymen Askri Louis Leconte Ba-Hien Tran AI4CE 37 0 0 25 May 2024
Compression Repair for Feedforward Neural Networks Based on Model Equivalence Evaluation Zihao Mo Yejiang Yang Shuaizheng Lu Weiming Xiang 32 1 0 18 Feb 2024
Towards Sobolev Pruning Neil Kichler Sher Afghan U. Naumann 18 0 0 06 Dec 2023
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI Dustin Wright Christian Igel Gabrielle Samuel Raghavendra Selvan 27 15 0 05 Sep 2023
Maestro: Uncovering Low-Rank Structures via Trainable Decomposition Samuel Horváth Stefanos Laskaridis Shashank Rajput Hongyi Wang BDL 32 4 0 28 Aug 2023
What Matters In The Structured Pruning of Generative Language Models? Michael Santacroce Zixin Wen Yelong Shen Yuan-Fang Li 18 32 0 07 Feb 2023
COLT: Cyclic Overlapping Lottery Tickets for Faster Pruning of Convolutional Neural Networks Md. Ismail Hossain Mohammed Rakib M. M. L. Elahi Nabeel Mohammed Shafin Rahman 21 1 0 24 Dec 2022
AdaEnlight: Energy-aware Low-light Video Stream Enhancement on Mobile Devices Sicong Liu Xiaocheng Li Zimu Zhou Bin Guo Mengsu Zhang Haocheng Shen Zhiwen Yu 16 6 0 29 Nov 2022
AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks Louis Leconte S. Schechtman Eric Moulines 27 4 0 07 Nov 2022
Mixed-Precision Neural Networks: A Survey M. Rakka M. Fouda Pramod P. Khargonekar Fadi J. Kurdahi MQ 18 11 0 11 Aug 2022
Energy-Aware Planning-Scheduling for Autonomous Aerial Robots Adam Seewald Héctor García de Marina H. Midtiby U. Schultz 8 5 0 22 Jul 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
AGIC: Approximate Gradient Inversion Attack on Federated Learning Jin Xu Chi Hong Jiyue Huang L. Chen Jérémie Decouchant AAML FedML 11 21 0 28 Apr 2022
Multiply-and-Fire (MNF): An Event-driven Sparse Neural Network Accelerator Miao Yu Tingting Xiang Venkata Pavan Kumar Miriyala Trevor E. Carlson 15 1 0 20 Apr 2022
Compact Model Training by Low-Rank Projection with Energy Transfer K. Guo Zhenquan Lin Xiaofen Xing Fang Liu Xiangmin Xu 20 2 0 12 Apr 2022
Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis Raghavendra Selvan N. Bhagwat Lasse F. Wolff Anthony Benjamin Kanding Erik Dam 36 24 0 04 Mar 2022
Robust Binary Models by Pruning Randomly-initialized Networks Chen Liu Ziqi Zhao Sabine Süsstrunk Mathieu Salzmann TPM AAML MQ 16 4 0 03 Feb 2022
UDC: Unified DNAS for Compressible TinyML Models Igor Fedorov Ramon Matas Hokchhay Tann Chu Zhou Matthew Mattina P. Whatmough AI4CE 21 13 0 15 Jan 2022
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision Rui Han Qinglong Zhang C. Liu Guoren Wang Jian Tang L. Chen 16 43 0 18 Dec 2021
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 25 26 0 16 Dec 2021
Optimizing for In-memory Deep Learning with Emerging Memory Technology Zhehui Wang Tao Luo Rick Siow Mong Goh Wei Zhang Weng-Fai Wong 13 1 0 01 Dec 2021
Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks Hassan Dbouk Naresh R Shanbhag AAML 19 7 0 28 Oct 2021
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks Shuai Zhang Meng Wang Sijia Liu Pin-Yu Chen Jinjun Xiong UQCV MLT 21 13 0 12 Oct 2021
Partial Variable Training for Efficient On-Device Federated Learning Tien-Ju Yang Dhruv Guliani F. Beaufays Giovanni Motta FedML 16 25 0 11 Oct 2021
Architecture Aware Latency Constrained Sparse Neural Networks Tianli Zhao Qinghao Hu Xiangyu He Weixiang Xu Jiaxing Wang Cong Leng Jian Cheng 28 0 0 01 Sep 2021
Leveraging Transprecision Computing for Machine Vision Applications at the Edge U. Minhas L. Mukhanov G. Karakonstantis Hans Vandierendonck Roger Francis Woods 24 5 0 29 Aug 2021
MOHAQ: Multi-Objective Hardware-Aware Quantization of Recurrent Neural Networks Nesma M. Rezk Tomas Nordstrom D. Stathis Z. Ul-Abdin E. Aksoy A. Hemani MQ 20 1 0 02 Aug 2021
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference Chaojian Li Wuyang Chen Yuchen Gu Tianlong Chen Yonggan Fu Zhangyang Wang Yingyan Lin 25 0 0 16 Jul 2021
Sparse Flows: Pruning Continuous-depth Models Lucas Liebenwein Ramin Hasani Alexander Amini Daniela Rus 18 16 0 24 Jun 2021
Single-Training Collaborative Object Detectors Adaptive to Bandwidth and Computation Juliano S. Assine José Cândido Silveira Santos Filho Eduardo Valle ObjD 42 8 0 03 May 2021
Deep Neural Networks Based Weight Approximation and Computation Reuse for 2-D Image Classification M. Tolba H. Tesfai H. Saleh B. Mohammad Mahmoud Al-Qutayri 16 4 0 28 Apr 2021
SETGAN: Scale and Energy Trade-off GANs for Image Applications on Mobile Platforms Nitthilan Kanappan Jayakodi J. Doppa P. Pande GAN 28 4 0 23 Mar 2021
Compacting Deep Neural Networks for Internet of Things: Methods and Applications Ke Zhang Hanbo Ying Hongning Dai Lin Li Yuangyuang Peng Keyi Guo Hongfang Yu 16 38 0 20 Mar 2021
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges Yoshitomo Matsubara Marco Levorato Francesco Restuccia 22 199 0 08 Mar 2021
Environmental Sound Classification on the Edge: A Pipeline for Deep Acoustic Networks on Extremely Resource-Constrained Devices Md Mohaimenuzzaman Christoph Bergmeir I. West B. Meyer 12 41 0 05 Mar 2021
Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks Karina Vasquez Yeshwanth Venkatesha Abhiroop Bhattacharjee Abhishek Moitra Priyadarshini Panda MQ 35 15 0 12 Jan 2021
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training Y. Fu Haoran You Yang Katie Zhao Yue Wang Chaojian Li K. Gopalakrishnan Zhangyang Wang Yingyan Lin MQ 30 32 0 24 Dec 2020
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead Maurizio Capra Beatrice Bussolino Alberto Marchisio Guido Masera Maurizio Martina Muhammad Shafique BDL 48 140 0 21 Dec 2020
Bringing AI To Edge: From Deep Learning's Perspective Di Liu Hao Kong Xiangzhong Luo Weichen Liu Ravi Subramaniam 42 116 0 25 Nov 2020
Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks Fuxun Yu Dimitrios Stamoulis Di Wang Dimitrios Lymberopoulos Xiang Chen 3DV 6 1 0 22 Nov 2020
Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity Cong Guo B. Hsueh Jingwen Leng Yuxian Qiu Yue Guan Zehuan Wang Xiaoying Jia Xipeng Li M. Guo Yuhao Zhu 32 82 0 29 Aug 2020
The Ramifications of Making Deep Neural Networks Compact N. Jha Sparsh Mittal Govardhan Mattela 6 14 0 26 Jun 2020
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles Sicong Liu Junzhao Du Kaiming Nan Zimu Zhou Zhangyang Wang Yingyan Lin 19 30 0 08 Jun 2020
AOWS: Adaptive and optimal network width search with latency constraints Maxim Berman Leonid Pischulin N. Xu Matthew B. Blaschko Gérard Medioni 25 29 0 21 May 2020
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 3DPC MedIm 22 52 0 08 May 2020