Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Abdolrashidi, Amirali"'
Autor:
Abdolrashidi, AmirAli, Wang, Lisa, Agrawal, Shivani, Malmaud, Jonathan, Rybakov, Oleg, Leichner, Chas, Lew, Lukasz
Quantization has become a popular technique to compress neural networks and reduce compute cost, but most prior work focuses on studying quantization without changing the network size. Many real-world applications of neural networks have compute cost
Externí odkaz:
http://arxiv.org/abs/2105.03536
Autor:
Zhou, Yanqi, Roy, Sudip, Abdolrashidi, Amirali, Wong, Daniel, Ma, Peter, Xu, Qiumin, Liu, Hanxiao, Phothilimthana, Phitchaya Mangpo, Wang, Shen, Goldie, Anna, Mirhoseini, Azalia, Laudon, James
Publikováno v:
NeurIPS 2020
Most compilers for machine learning (ML) frameworks need to solve many correlated optimization problems to generate efficient machine code. Current ML compilers rely on heuristics based algorithms to solve these optimization problems one at a time. H
Externí odkaz:
http://arxiv.org/abs/2010.12438
Automatic prediction of age and gender from face images has drawn a lot of attention recently, due it is wide applications in various facial analysis problems. However, due to the large intra-class variation of face images (such as variation in light
Externí odkaz:
http://arxiv.org/abs/2010.03791
Generating realistic palmprint (more generally biometric) images has always been an interesting and, at the same time, challenging problem. Classical statistical models fail to generate realistic-looking palmprint images, as they are not powerful eno
Externí odkaz:
http://arxiv.org/abs/2003.10834
Deep learning-based models have been very successful in achieving state-of-the-art results in many of the computer vision, speech recognition, and natural language processing tasks in the last few years. These models seem a natural fit for handling t
Externí odkaz:
http://arxiv.org/abs/1912.00271
Autor:
Zhou, Yanqi, Roy, Sudip, Abdolrashidi, Amirali, Wong, Daniel, Ma, Peter C., Xu, Qiumin, Zhong, Ming, Liu, Hanxiao, Goldie, Anna, Mirhoseini, Azalia, Laudon, James
Runtime and scalability of large neural networks can be significantly affected by the placement of operations in their dataflow graphs on suitable devices. With increasingly complex neural network architectures and heterogeneous device characteristic
Externí odkaz:
http://arxiv.org/abs/1910.01578
Fingerprint recognition has been utilized for cellphone authentication, airport security and beyond. Many different features and algorithms have been proposed to improve fingerprint recognition. In this paper, we propose an end-to-end deep learning f
Externí odkaz:
http://arxiv.org/abs/1907.12956
Autor:
Minaee, Shervin, Abdolrashidi, Amirali
Iris recognition has been an active research area during last few decades, because of its wide applications in security, from airports to homeland security border control. Different features and algorithms have been proposed for iris recognition in t
Externí odkaz:
http://arxiv.org/abs/1907.09380
With the popularity of social networks, and e-commerce websites, sentiment analysis has become a more active area of research in the past few years. On a high level, sentiment analysis tries to understand the public opinion about a specific product o
Externí odkaz:
http://arxiv.org/abs/1904.04206
Autor:
Minaee, Shervin, Abdolrashidi, Amirali
Facial expression recognition has been an active research area over the past few decades, and it is still challenging due to the high intra-class variation. Traditional approaches for this problem rely on hand-crafted features such as SIFT, HOG and L
Externí odkaz:
http://arxiv.org/abs/1902.01019