Accelerating Binarized Convolutional Neural Networks with Software-Programmable FPGAs
An Energy-Efficient Architecture for Binary Weight Convolutional Neural Networks
Attacking Binarized Neural Networks
Deep Reinforcement Learning of Region Proposal Networks for Object Detection
Energy Efficient Scientific Computing on FPGAs using OpenCL
fpgaConvNet: A Framework for Mapping Convolutional Neural Networks on FPGAs