Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA

23 June 2024

Papers citing "Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA"

8 / 8 papers shown

Title
When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGA Hongxiang Fan Hao Mark Chen Liam Castelli Zhiqiang Que He Li Kenneth Long Wayne Luk BDL 29 2 0 13 Aug 2023
High-Performance FPGA-based Accelerator for Bayesian Neural Networks Hongxiang Fan Martin Ferianc Miguel R. D. Rodrigues Hongyu Zhou Xinyu Niu Wayne Luk BDL 20 22 0 12 May 2021
hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices F. Fahim B. Hawks C. Herwig J. Hirschauer S. Jindariani ... J. Ngadiuba Miaoyuan Liu Duc Hoang E. Kreinar Zhenbin Wu 49 132 0 09 Mar 2021
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users Laurent Valentin Jospin Wray Buntine F. Boussaïd Hamid Laga Bennamoun OOD BDL UQCV 77 625 0 14 Jul 2020
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 159 1,688 0 06 Jun 2019
DropBlock: A regularization method for convolutional networks Golnaz Ghiasi Nayeon Lee Quoc V. Le 105 914 0 30 Oct 2018
VIBNN: Hardware Acceleration of Bayesian Neural Networks R. Cai Ao Ren Ning Liu Caiwen Ding Luhao Wang Xuehai Qian Massoud Pedram Yanzhi Wang BDL 73 87 0 02 Feb 2018
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 238 4,778 0 04 Jan 2016