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 / 120 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 37 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 45 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 50 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 47 0 0 01 Nov 2024
Quality Scalable Quantization Methodology for Deep Learning on Edge S. Khaliq Rehan Hafiz MQ 53 1 0 15 Jul 2024
BOLD: Boolean Logic Deep Learning Van Minh Nguyen Cristian Ocampo Aymen Askri Louis Leconte Ba-Hien Tran AI4CE 45 0 0 25 May 2024
Compression Repair for Feedforward Neural Networks Based on Model Equivalence Evaluation Zihao Mo Yejiang Yang Shuaizheng Lu Weiming Xiang 45 1 0 18 Feb 2024
Towards Sobolev Pruning Neil Kichler Sher Afghan U. Naumann 23 0 0 06 Dec 2023
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI Dustin Wright Christian Igel Gabrielle Samuel Raghavendra Selvan 40 15 0 05 Sep 2023
Maestro: Uncovering Low-Rank Structures via Trainable Decomposition Samuel Horváth Stefanos Laskaridis Shashank Rajput Hongyi Wang BDL 37 4 0 28 Aug 2023
D-Score: A Synapse-Inspired Approach for Filter Pruning Doyoung Park Jinsoo Kim Ji-Min Nam Jooyoung Chang S. Park 22 0 0 08 Aug 2023
Cuttlefish: Low-Rank Model Training without All the Tuning Hongyi Wang Saurabh Agarwal Pongsakorn U-chupala Yoshiki Tanaka Eric P. Xing Dimitris Papailiopoulos OffRL 65 22 0 04 May 2023
Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning Shangli Zhou Mikhail A. Bragin Lynn Pepin Deniz Gurevin Fei Miao Caiwen Ding 29 3 0 08 Apr 2023
What Matters In The Structured Pruning of Generative Language Models? Michael Santacroce Zixin Wen Yelong Shen Yuan-Fang Li 31 33 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 23 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 29 6 0 29 Nov 2022
Pruning Very Deep Neural Network Channels for Efficient Inference Yihui He 35 1 0 14 Nov 2022
AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks Louis Leconte S. Schechtman Eric Moulines 34 4 0 07 Nov 2022
Weight Fixing Networks Christopher Subia-Waud S. Dasmahapatra MQ 32 2 0 24 Oct 2022
Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharing Alireza Azadbakht Saeed Reza Kheradpisheh Ismail Khalfaoui-Hassani T. Masquelier 38 1 0 23 Oct 2022
Mixed-Precision Neural Networks: A Survey M. Rakka M. Fouda Pramod P. Khargonekar Fadi J. Kurdahi MQ 30 11 0 11 Aug 2022
Energy-Aware Planning-Scheduling for Autonomous Aerial Robots Adam Seewald Héctor García de Marina H. Midtiby U. Schultz 23 5 0 22 Jul 2022
Atrial Fibrillation Detection Using Weight-Pruned, Log-Quantised Convolutional Neural Networks Xiu Qi Chang Ann Feng Chew Benjamin Chen Ming Choong Shuhui Wang Rui Han W. He Li Xiaolin R. Panicker Deepu John 16 0 0 14 Jun 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Yangqiu Song Jian Pei 47 104 0 16 May 2022
AGIC: Approximate Gradient Inversion Attack on Federated Learning Jin Xu Chi Hong Jiyue Huang L. Chen Jérémie Decouchant AAML FedML 37 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 23 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 40 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 32 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 26 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 23 44 0 18 Dec 2021
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 39 26 0 16 Dec 2021
Optimizing for In-memory Deep Learning with Emerging Memory Technology Zhehui Wang Yaoyu Zhang Rick Siow Mong Goh Wei Zhang Weng-Fai Wong 20 1 0 01 Dec 2021
Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks Hassan Dbouk Naresh R Shanbhag AAML 21 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 31 13 0 12 Oct 2021
Partial Variable Training for Efficient On-Device Federated Learning Tien-Ju Yang Dhruv Guliani F. Beaufays Giovanni Motta FedML 27 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 41 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 32 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 30 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 35 0 0 16 Jul 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 104 197 0 12 Jul 2021
Sparse Flows: Pruning Continuous-depth Models Lucas Liebenwein Ramin Hasani Alexander Amini Daniela Rus 28 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 55 8 0 03 May 2021
Stealthy Backdoors as Compression Artifacts Yulong Tian Fnu Suya Fengyuan Xu David Evans 40 22 0 30 Apr 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 29 4 0 28 Apr 2021
QuickLoc: Adaptive Deep-Learning for Fast Indoor Localization with Mobile Devices Saideep Tiku Prathmesh Kale S. Pasricha HAI 27 19 0 15 Apr 2021
SETGAN: Scale and Energy Trade-off GANs for Image Applications on Mobile Platforms Nitthilan Kanappan Jayakodi J. Doppa P. Pande GAN 36 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 25 38 0 20 Mar 2021
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges Yoshitomo Matsubara Marco Levorato Francesco Restuccia 35 200 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 22 41 0 05 Mar 2021