Papers citing 'Hardware-oriented Approximation of Convolutional Neural Networks'

Title
Computation-efficient Deep Learning for Computer Vision: A Survey Yulin Wang Yizeng Han Chaofei Wang Shiji Song Qi Tian Gao Huang VLM 258 30 0 27 Aug 2023
Number Systems for Deep Neural Network Architectures: A Survey Ghada Alsuhli Vasileios Sakellariou H. Saleh Mahmoud Al-Qutayri Baker Mohammad T. Stouraitis 171 5 0 11 Jul 2023
AutoQNN: An End-to-End Framework for Automatically Quantizing Neural NetworksJournal of Computational Science and Technology (JCST), 2023 Cheng Gong Ye Lu Surong Dai Deng Qian Chenkun Du Tao Li MQ 119 0 0 07 Apr 2023
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural NetworksIEEE International Joint Conference on Neural Network (IJCNN), 2022 Muhammad Abdullah Hanif G. M. Sarda Alberto Marchisio Guido Masera Maurizio Martina Mohamed Bennai MQ 128 5 0 31 Jul 2022
Computational Complexity Evaluation of Neural Network Applications in Signal Processing Pedro J. Freire S. Srivallapanondh A. Napoli Jaroslaw E. Prilepsky S. Turitsyn 155 1 0 24 Jun 2022
MKQ-BERT: Quantized BERT with 4-bits Weights and Activations Hanlin Tang Xipeng Zhang Kai Liu Jianchen Zhu Zhanhui Kang VLM MQ 103 17 0 25 Mar 2022
ThreshNet: An Efficient DenseNet Using Threshold Mechanism to Reduce ConnectionsIEEE Access (IEEE Access), 2022 Ruikang Ju Ting-Yu Lin Jia-Hao Jian Jen-Shiun Chiang Weida Yang 169 9 0 09 Jan 2022
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AIIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021 Jiangchao Yao Shengyu Zhang Yang Yao Feng Wang Jianxin Ma ... Kun Kuang Chao-Xiang Wu Leilei Gan Jingren Zhou Hongxia Yang 334 133 0 11 Nov 2021
Reconfigurable co-processor architecture with limited numerical precision to accelerate deep convolutional neural networks Sasindu Wijeratne Sandaruwan Jayaweera Mahesh Dananjaya A. Pasqual 91 7 0 21 Aug 2021
A Construction Kit for Efficient Low Power Neural Network Accelerator Designs Petar Jokic E. Azarkhish Andrea Bonetti M. Pons S. Emery Luca Benini 151 5 0 24 Jun 2021
3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization, and Ultra-Low Latency AccelerationACM Great Lakes Symposium on VLSI (GLSVLSI), 2021 Yao Chen Cole Hawkins Kaiqi Zhang Zheng Zhang Cong Hao 97 9 0 11 May 2021
A Very Compact Embedded CNN Processor Design Based on Logarithmic Computing Tsung-Ying Lu Hsu-Hsun Chin Hsin-I Wu R. Tsay MQ 98 2 0 13 Oct 2020
Fast Implementation of 4-bit Convolutional Neural Networks for Mobile DevicesInternational Conference on Pattern Recognition (ICPR), 2020 A. Trusov E. Limonova Dmitry Slugin D. Nikolaev V. Arlazarov MQ 223 19 0 14 Sep 2020
Exploiting Weight Redundancy in CNNs: Beyond Pruning and Quantization Yuan Wen David Gregg MQ 131 3 0 22 Jun 2020
VecQ: Minimal Loss DNN Model Compression With Vectorized Weight Quantization Cheng Gong Yao Chen Ye Lu Tao Li Cong Hao Deming Chen MQ 150 58 0 18 May 2020
ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network David Gschwend 111 66 0 14 May 2020
Quantization of Deep Neural Networks for Accumulator-constrained ProcessorsMicroprocessors and microsystems (MM), 2020 B. Bruin Z. Zivkovic Henk Corporaal MQ 89 21 0 24 Apr 2020
HCM: Hardware-Aware Complexity Metric for Neural Network Architectures Alex Karbachevsky Chaim Baskin Evgenii Zheltonozhskii Yevgeny Yermolin F. Gabbay A. Bronstein A. Mendelson 203 11 0 19 Apr 2020
Q-CapsNets: A Specialized Framework for Quantizing Capsule NetworksDesign Automation Conference (DAC), 2020 Alberto Marchisio Beatrice Bussolino Alessio Colucci Maurizio Martina Guido Masera Mohamed Bennai 3DPC 143 15 0 15 Apr 2020
IFQ-Net: Integrated Fixed-point Quantization Networks for Embedded Vision Hongxing Gao Wei Tao Dongchao Wen Tse-Wei Chen Kinya Osa Masami Kato MQ 128 11 0 19 Nov 2019
eCNN: A Block-Based and Highly-Parallel CNN Accelerator for Edge InferenceMicro (MICRO), 2019 Chao-Tsung Huang Yu-Chun Ding Huan-Ching Wang Chi-Wen Weng Kai-Ping Lin Li-Wei Wang Li-De Chen 161 50 0 13 Oct 2019
HarDNet: A Low Memory Traffic NetworkIEEE International Conference on Computer Vision (ICCV), 2019 P. Chao Chao-Yang Kao Yunxing Ruan Chien-Hsiang Huang Y. Lin 376 292 0 03 Sep 2019
High Performance Scalable FPGA Accelerator for Deep Neural Networks Sudarshan Srinivasan Pradeep Janedula Saurabh Dhoble Sasikanth Avancha Dipankar Das Naveen Mellempudi Bharat Daga M. Langhammer Gregg Baeckler Bharat Kaul 63 3 0 29 Aug 2019
Light Multi-segment Activation for Model CompressionAAAI Conference on Artificial Intelligence (AAAI), 2019 Zhenhui Xu Guolin Ke Jia Zhang Jiang Bian Tie-Yan Liu 94 2 0 16 Jul 2019
Distilling Object Detectors with Fine-grained Feature ImitationComputer Vision and Pattern Recognition (CVPR), 2019 Tao Wang Li-xin Yuan Xiaopeng Zhang Jiashi Feng ObjD 177 439 0 09 Jun 2019
NeuPart: Using Analytical Models to Drive Energy-Efficient Partitioning of CNN Computations on Cloud-Connected Mobile Clients Susmita Dey Manasi F. S. Snigdha S. Sapatnekar 201 18 0 09 May 2019
Understanding Chat Messages for Sticker Recommendation in Messaging Apps Abhishek Laddha Mohamed Hanoosh Debdoot Mukherjee Parth Patwa Ankur Narang 150 18 0 07 Feb 2019
A Simple Method to Reduce Off-chip Memory Accesses on Convolutional Neural Networks Doyun Kim Kyoung-Young Kim Sangsoo Ko Sanghyuck Ha 75 5 0 28 Jan 2019
Distill-Net: Application-Specific Distillation of Deep Convolutional Neural Networks for Resource-Constrained IoT Platforms Mohammad Motamedi Felix Portillo Daniel D. Fong S. Ghiasi 56 3 0 16 Dec 2018
Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint OptimizationInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2018 H. T. Kung Bradley McDanel Shanghang Zhang 126 146 0 07 Nov 2018
Convolutional Neural Network Quantization using Generalized Gamma Distribution Doyun Kim H. Yim Sanghyuck Ha Changgwun Lee Inyup Kang MQ 60 4 0 31 Oct 2018
An FPGA-Accelerated Design for Deep Learning Pedestrian Detection in Self-Driving Vehicles Abdallah Moussawi K. Haddad Anthony Chahine 62 6 0 16 Sep 2018
Learning Sparse Low-Precision Neural Networks With Learnable Regularization Yoojin Choi Mostafa El-Khamy Jungwon Lee MQ 248 31 0 01 Sep 2018
DNN Feature Map Compression using Learned Representation over GF(2) Denis A. Gudovskiy Alec Hodgkinson Luca Rigazio 116 19 0 15 Aug 2018
CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams Lukas Cavigelli Luca Benini 132 27 0 15 Aug 2018
Design Flow of Accelerating Hybrid Extremely Low Bit-width Neural Network in Embedded FPGA Junsong Wang Qiuwen Lou Xiaofan Zhang Chao Zhu Yonghua Lin Deming Chen MQ 136 97 0 31 Jul 2018
Deploying Customized Data Representation and Approximate Computing in Machine Learning Applications M. Nazemi Massoud Pedram 81 5 0 03 Jun 2018
Accelerating CNN inference on FPGAs: A Survey K. Abdelouahab Maxime Pelcat Jocelyn Serot F. Berry AI4CE 99 152 0 26 May 2018
CascadeCNN: Pushing the performance limits of quantisation Alexandros Kouris Stylianos I. Venieris C. Bouganis MQ 74 25 0 22 May 2018
Deep Learning Inference on Embedded Devices: Fixed-Point vs Posit Seyed Hamed Fatemi Langroudi Tej Pandit Dhireesha Kudithipudi MQ 123 46 0 22 May 2018
Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines S. Settle Manasa Bollavaram P. DÁlberto Elliott Delaye Oscar Fernández Nicholas J. Fraser A. Ng Ashish Sirasao Michael Wu MQ 101 21 0 21 May 2018
Towards Accurate and High-Speed Spiking Neuromorphic Systems with Data Quantization-Aware Deep Networks Fuqiang Liu Chenchen Liu 72 5 0 08 May 2018
SqueezeJet: High-level Synthesis Accelerator Design for Deep Convolutional Neural Networks Panagiotis G. Mousouliotis L. Petrou 94 11 0 06 May 2018
Face Recognition with Hybrid Efficient Convolution Algorithms on FPGAs Chuanhao Zhuge Xinheng Liu Xiaofan Zhang S. Gummadi Jinjun Xiong Deming Chen CVBM 88 37 0 23 Mar 2018
Expanding a robot's life: Low power object recognition via FPGA-based DCNN deployment Panagiotis G. Mousouliotis K. Panayiotou E. Tsardoulias L. Petrou A. Symeonidis 69 13 0 23 Mar 2018
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future DirectionsACM Computing Surveys (CSUR), 2018 Stylianos I. Venieris Alexandros Kouris C. Bouganis 149 192 0 15 Mar 2018
Hyperdrive: A Multi-Chip Systolically Scalable Binary-Weight CNN Inference Engine Renzo Andri Lukas Cavigelli D. Rossi Luca Benini MQ 160 19 0 05 Mar 2018
Low complexity convolutional neural network for vessel segmentation in portable retinal diagnostic devices M. Hajabdollahi Reza Esfandiarpoor S. M. Reza Soroushmehr N. Karimi S. Samavi Kayvan Najarian 82 35 0 21 Feb 2018
Model compression via distillation and quantization A. Polino Razvan Pascanu Dan Alistarh MQ 241 793 0 15 Feb 2018
On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks Yukun Ding Jinglan Liu Jinjun Xiong Yiyu Shi MQ 212 23 0 10 Feb 2018