Zobrazeno 1 - 10
of 506
pro vyhledávání: '"Banbury, P."'
Autor:
Chen, Tianyi, Qu, Xiaoyi, Aponte, David, Banbury, Colby, Ko, Jongwoo, Ding, Tianyu, Ma, Yong, Lyapunov, Vladimir, Zharkov, Ilya, Liang, Luming
Structured pruning is one of the most popular approaches to effectively compress the heavy deep neural networks (DNNs) into compact sub-networks while retaining performance. The existing methods suffer from multi-stage procedures along with significa
Externí odkaz:
http://arxiv.org/abs/2409.09085
Autor:
Banbury, Colby, Njor, Emil, Garavagno, Andrea Mattia, Stewart, Matthew, Warden, Pete, Kudlur, Manjunath, Jeffries, Nat, Fafoutis, Xenofon, Reddi, Vijay Janapa
Tiny machine learning (TinyML) for low-power devices lacks robust datasets for development. We present Wake Vision, a large-scale dataset for person detection that contains over 6 million quality-filtered images. We provide two variants: Wake Vision
Externí odkaz:
http://arxiv.org/abs/2405.00892
Autor:
Qin, Danfeng, Leichner, Chas, Delakis, Manolis, Fornoni, Marco, Luo, Shixin, Yang, Fan, Wang, Weijun, Banbury, Colby, Ye, Chengxi, Akin, Berkin, Aggarwal, Vaibhav, Zhu, Tenghui, Moro, Daniele, Howard, Andrew
We present the latest generation of MobileNets, known as MobileNetV4 (MNv4), featuring universally efficient architecture designs for mobile devices. At its core, we introduce the Universal Inverted Bottleneck (UIB) search block, a unified and flexib
Externí odkaz:
http://arxiv.org/abs/2404.10518
Autor:
Kristina J. Anderson‐Teixeira, Valentine Herrmann, Madison Williams, Teagan Tinuviel, Rebecca Banbury Morgan, Ben Bond‐Lamberty, Susan Cook‐Patton
Publikováno v:
Plants, People, Planet, Vol 7, Iss 1, Pp 105-116 (2025)
Societal Impact Statement Human interactions with forests have shaped Earth's climate for millennia and will continue to do so as we target net‐zero emission goals. Accurately characterizing these climate impacts requires making reliable forest car
Externí odkaz:
https://doaj.org/article/5286f7cd1ec04dd798258ca29c4d5fc2
Autor:
Samantha Banbury, Chris Chandler, Simon Erridge, Javier del Rio Olvera, John Turner, Joanne Lusher
Publikováno v:
Psychoactives, Vol 3, Iss 3, Pp 384-399 (2024)
Research on the use of cannabis rectal suppositories for analgesia is limited. Few trials have evaluated the combined use of mindfulness and cannabis suppositories for anodyspareunia in men who have sex with men (MSM). This preliminary study, includi
Externí odkaz:
https://doaj.org/article/b8afe21edcfe46b89700a27116e9a04c
Autor:
Ilya Kister, Ryan Curtin, Amanda L. Piquet, Tyler Borko, Jinglan Pei, Barbara L Banbury, Tamar E. Bacon, Angie Kim, Michael Tuen, Yogambigai Velmurugu, Samantha Nyovanie, Sean Selva, Marie I. Samanovic, Mark J. Mulligan, Yury Patskovsky, Jessica Priest, Mark Cabatingan, Ryan C. Winger, Michelle Krogsgaard, Gregg J. Silverman
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 11, Iss 7, Pp 1750-1764 (2024)
Abstract Objectives (1) To plot the trajectory of humoral and cellular immune responses to the primary (two‐dose) COVID‐19 mRNA series and the third/booster dose in B‐cell‐depleted multiple sclerosis (MS) patients up to 2 years post‐vaccina
Externí odkaz:
https://doaj.org/article/cfc73b7beef44bd2b5b2db0f9b785a97
Autor:
Prakash, Shvetank, Stewart, Matthew, Banbury, Colby, Mazumder, Mark, Warden, Pete, Plancher, Brian, Reddi, Vijay Janapa
The sustained growth of carbon emissions and global waste elicits significant sustainability concerns for our environment's future. The growing Internet of Things (IoT) has the potential to exacerbate this issue. However, an emerging area known as Ti
Externí odkaz:
http://arxiv.org/abs/2301.11899
Autor:
Kwon, Hyoukjun, Nair, Krishnakumar, Seo, Jamin, Yik, Jason, Mohapatra, Debabrata, Zhan, Dongyuan, Song, Jinook, Capak, Peter, Zhang, Peizhao, Vajda, Peter, Banbury, Colby, Mazumder, Mark, Lai, Liangzhen, Sirasao, Ashish, Krishna, Tushar, Khaitan, Harshit, Chandra, Vikas, Reddi, Vijay Janapa
Real-time multi-task multi-model (MTMM) workloads, a new form of deep learning inference workloads, are emerging for applications areas like extended reality (XR) to support metaverse use cases. These workloads combine user interactivity with computa
Externí odkaz:
http://arxiv.org/abs/2211.08675
Autor:
Hymel, Shawn, Banbury, Colby, Situnayake, Daniel, Elium, Alex, Ward, Carl, Kelcey, Mat, Baaijens, Mathijs, Majchrzycki, Mateusz, Plunkett, Jenny, Tischler, David, Grande, Alessandro, Moreau, Louis, Maslov, Dmitry, Beavis, Artie, Jongboom, Jan, Reddi, Vijay Janapa
Edge Impulse is a cloud-based machine learning operations (MLOps) platform for developing embedded and edge ML (TinyML) systems that can be deployed to a wide range of hardware targets. Current TinyML workflows are plagued by fragmented software stac
Externí odkaz:
http://arxiv.org/abs/2212.03332
Autor:
Mazumder, Mark, Banbury, Colby, Yao, Xiaozhe, Karlaš, Bojan, Rojas, William Gaviria, Diamos, Sudnya, Diamos, Greg, He, Lynn, Parrish, Alicia, Kirk, Hannah Rose, Quaye, Jessica, Rastogi, Charvi, Kiela, Douwe, Jurado, David, Kanter, David, Mosquera, Rafael, Ciro, Juan, Aroyo, Lora, Acun, Bilge, Chen, Lingjiao, Raje, Mehul Smriti, Bartolo, Max, Eyuboglu, Sabri, Ghorbani, Amirata, Goodman, Emmett, Inel, Oana, Kane, Tariq, Kirkpatrick, Christine R., Kuo, Tzu-Sheng, Mueller, Jonas, Thrush, Tristan, Vanschoren, Joaquin, Warren, Margaret, Williams, Adina, Yeung, Serena, Ardalani, Newsha, Paritosh, Praveen, Bat-Leah, Lilith, Zhang, Ce, Zou, James, Wu, Carole-Jean, Coleman, Cody, Ng, Andrew, Mattson, Peter, Reddi, Vijay Janapa
Machine learning research has long focused on models rather than datasets, and prominent datasets are used for common ML tasks without regard to the breadth, difficulty, and faithfulness of the underlying problems. Neglecting the fundamental importan
Externí odkaz:
http://arxiv.org/abs/2207.10062