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Dual-polarized, monostatic antenna array with improved Tx–Rx isolation for 2.4 GHz in-band full duplex applications

Nov 21, 2018 · In this paper, we introduce the Hardware-Aware Automated Quantization (HAQ) framework which leverages the reinforcement learning to automatically determine the quantization policy, and we take the hardware accelerator's feedback in the design loop.

May 29, 2019 · Whenever you’re given ‘K’ sorted arrays, you can use a Heap to efficiently perform a sorted traversal of all the elements of all arrays. You can push the smallest element of each array in a Min Heap to get the overall minimum.

In this paper, we intro-duce the Hardware-Aware Automated Quantization (HAQ) framework which leverages the reinforcement learning to automatically determine the quantization policy, and we take the hardware accelerator’s feedback in the design loop.

2019 IEEE International Conference on Prognostics and Health Management … Experimental Mechanics of Composite, Hybrid, and Multifunctional Materials …

In this paper, we present a novel Multi-Ring Slots Ultra-Wide-Band (MRS-UWB) patch antenna that can be used for breast tumor detection. After confirming the measured and simulated results of a...

This repo contains PyTorch implementation for paper HAQ: Hardware-Aware Automated Quantization with Mixed Precision (CVPR2019, oral) Other papers related to automated model design: We evaluate this code with Pytorch 1.1 (cuda10) and torchvision 0.3.0, you can install pytorch with conda: