4 citations · 12 across the 5 of their papers we have counts for
5 papers
Yet another Improvement of Plantard Arithmetic for Faster Kyber on Low-end 32-bit IoT Devices
Junhao Huang, Haosong Zhao, Jipeng Zhang +5
This paper presents another improved version of Plantard arithmetic that could speed up Kyber implementations on two low-end 32-bit IoT platforms (ARM Cortex-M3 and RISC-V) without…
A Versatility-Performance Balanced Hardware Architecture for Scene Text Detection
Yao Xin, Guoming Tang, Donglong Chen +4
Detecting and extracting textual information from natural scene images needs Scene Text Detection (STD) algorithms. Fully Convolutional Neural Networks (FCNs) are usually utilized…
RAPDARTS: Resource-Aware Progressive Differentiable Architecture Search
Sam Green, Craig M. Vineyard, Ryan Helinski +1
Early neural network architectures were designed by so-called "grad student descent". Since then, the field of Neural Architecture Search (NAS) has developed with the goal of algor…
Distillation Strategies for Proximal Policy Optimization
Sam Green, Craig M. Vineyard, Çetin Kaya Koç
Vision-based deep reinforcement learning (RL) typically obtains performance benefit by using high capacity and relatively large convolutional neural networks (CNN). However, a larg…
Visual Diagnostics for Deep Reinforcement Learning Policy Development
Jieliang Luo, Sam Green, Peter Feghali +2
Modern vision-based reinforcement learning techniques often use convolutional neural networks (CNN) as universal function approximators to choose which action to take for a given v…