Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA

4 October 2018

Papers citing "Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA"

7 / 7 papers shown

Title
LittleBit: Ultra Low-Bit Quantization via Latent Factorization Banseok Lee Dongkyu Kim Youngcheon You Youngmin Kim MQ 172 2 0 30 May 2025
MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning TreeIEEE International Conference on Computer Vision (ICCV), 2023 Quang Hieu Vo Linh-Tam Tran Sung-Ho Bae Lokwon Kim Choong Seon Hong MQ 183 1 0 26 Aug 2023
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs A. M. Ribeiro-dos-Santos João Dinis Ferreira O. Mutlu G. Falcão MQ 204 3 0 15 Jan 2023
Guarding Machine Learning Hardware Against Physical Side-Channel AttacksACM Journal on Emerging Technologies in Computing Systems (JETC), 2021 Anuj Dubey Rosario Cammarota Vikram B. Suresh Aydin Aysu AAML 194 37 0 01 Sep 2021
BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge DevicesIEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), 2021 Nael Fasfous M. Vemparala Alexander Frickenstein Lukas Frickenstein W. Stechele CVBM 189 35 0 06 Feb 2021
Binary Neural Networks: A SurveyPattern Recognition (Pattern Recognit.), 2020 Haotong Qin Yazhe Niu Xianglong Liu Xiao Bai Jingkuan Song Andrii Zadaianchuk MQ 262 525 0 31 Mar 2020
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? Shilin Zhu Xin Dong Hao Su MQ 276 145 0 20 Jun 2018