Recently, various memory devices have been actively studied as suitable candidates for
synaptic devices, which are important memory and computing units in neuromorphic …

Deep learning technologies have demonstrated remarkable effectiveness in a wide range of
tasks, and deep learning holds the potential to advance a multitude of applications …

Bayesian Optimization Mixed-Precision Neural Architecture Search (BOMP-NAS) is a
method to quantizationaware neural architecture search that leverages both Bayesian …

World today is exploding with enormous amounts of multimedia data every second and
technologies are being developed to understand it and make use of it in a profound way …

Significant improvements in the accuracy of Neural Networks (NNs) have been observed for
a wide range of problems, often achieved by highly over-parameterized models. Despite the …

This paper aims to provide a selective survey about knowledge distillation (KD) framework
for researchers and practitioners to take advantage of it for developing new optimized …

Abstract Nowadays Deep Neural Networks (DNNs) are getting more and more a part of our
everyday life. DNNs are often used for sophisticated tasks such as speech recognition or …

대립 생성망 (Generative Adversarial Networks, GAN) 은 이미지 생성, 이미지 번역 등 다양한
분야에 사용되고 있다. 좋은 품질의 이미지를 생성하기 위해 무거운 모델들이 제안되었지만 …