Zobrazeno 1 - 10
of 118
pro vyhledávání: '"Mehta, Yash"'
Autor:
Mehta, Yash, White, Colin, Zela, Arber, Krishnakumar, Arjun, Zabergja, Guri, Moradian, Shakiba, Safari, Mahmoud, Yu, Kaicheng, Hutter, Frank
The release of tabular benchmarks, such as NAS-Bench-101 and NAS-Bench-201, has significantly lowered the computational overhead for conducting scientific research in neural architecture search (NAS). Although they have been widely adopted and used t
Externí odkaz:
http://arxiv.org/abs/2201.13396
Convolutional networks are ubiquitous in deep learning. They are particularly useful for images, as they reduce the number of parameters, reduce training time, and increase accuracy. However, as a model of the brain they are seriously problematic, si
Externí odkaz:
http://arxiv.org/abs/2106.13031
In recent years, deep learning-based automated personality trait detection has received a lot of attention, especially now, due to the massive digital footprints of an individual. Moreover, many researchers have demonstrated that there is a strong li
Externí odkaz:
http://arxiv.org/abs/2101.02346
A unique identification for citizens can lead to effective governance to manage and provide citizen-centric services. While ensuring this service, privacy of the citizens needs to be preserved. Aadhaar, the identification system by UIDAI has faced so
Externí odkaz:
http://arxiv.org/abs/2012.04215
Publikováno v:
Proceedings of the The Fourth Widening Natural Language Processing Workshop (2020)
Recently, the automatic prediction of personality traits has received increasing attention and has emerged as a hot topic within the field of affective computing. In this work, we present a novel deep learning-based approach for automated personality
Externí odkaz:
http://arxiv.org/abs/2010.01309
Publikováno v:
In Microvascular Research November 2023 150
Publikováno v:
Artif Intell Rev 53 (2020) 2313-2339
Recently, the automatic prediction of personality traits has received a lot of attention. Specifically, personality trait prediction from multimodal data has emerged as a hot topic within the field of affective computing. In this paper, we review sig
Externí odkaz:
http://arxiv.org/abs/1908.03628
Autor:
Draelos, Anne W., Wei, Ming-Tso, Seredinski, Andrew, Li, Hengming, Mehta, Yash, Watanabe, Kenji, Taniguchi, Takashi, Borzenets, Ivan V., Amet, Francois, Finkelstein, Gleb
We investigate the electronic properties of ballistic planar Josephson junctions with multiple superconducting terminals. Our devices consist of monolayer graphene encapsulated in boron nitride with molybdenum-rhenium contacts. Resistance measurement
Externí odkaz:
http://arxiv.org/abs/1810.11632
Autor:
Seredinski, Andrew, Draelos, Anne, Wei, Ming-Tso, Ke, Chung-Ting, Fleming, Tate, Mehta, Yash, Mancil, Ethan, Li, Hengming, Taniguchi, Takashi, Watanabe, Kenji, Tarucha, Seigo, Yamamoto, Michihisa, Borzenets, Ivan V., Amet, Francois, Finkelstein, Gleb
Coupling superconductors to quantum Hall edge states is the subject of intense investigation as part of the ongoing search for non-abelian excitations. Our group has previously observed supercurrents of hundreds of picoamperes in graphene Josephson j
Externí odkaz:
http://arxiv.org/abs/1807.11923