High-Performance FPGA-based Accelerator for Bayesian Neural Networks

High-Performance FPGA-based Accelerator for Bayesian Neural Networks

12 May 2021

Miguel R. D. Rodrigues

Papers citing "High-Performance FPGA-based Accelerator for Bayesian Neural Networks"

11 / 11 papers shown

Title
Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts Tiago Azevedo R. D. Jong Matthew Mattina Partha P. Maji UQCV 54 15 0 07 Sep 2020
VINNAS: Variational Inference-based Neural Network Architecture Search Martin Ferianc Hongxiang Fan Miguel R. D. Rodrigues 3DPC 110 6 0 12 Jul 2020
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks Agustinus Kristiadi Matthias Hein Philipp Hennig BDL UQCV 77 286 0 24 Feb 2020
VIBNN: Hardware Acceleration of Bayesian Neural Networks R. Cai Ao Ren Ning Liu Caiwen Ding Luhao Wang Xuehai Qian Massoud Pedram Yanzhi Wang BDL 75 87 0 02 Feb 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob S. Kligys Bo Chen Menglong Zhu Matthew Tang Andrew G. Howard Hartwig Adam Dmitry Kalenichenko MQ 143 3,121 0 15 Dec 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 291 5,825 0 14 Jun 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,814 0 10 Dec 2015
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding Alex Kendall Vijay Badrinarayanan R. Cipolla UQCV BDL 83 1,064 0 09 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 802 9,302 0 06 Jun 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 450 43,277 0 11 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,330 0 04 Sep 2014