Zobrazeno 1 - 10
of 3 350
pro vyhledávání: '"Chan, David"'
Publikováno v:
GMS Ophthalmology Cases, Vol 13, p Doc12 (2023)
Background: While complex public health challenges and the emergence of variants have impeded responses to the COVID pandemic, vaccines continue to represent a crucial tool in mitigating the risk of morbidity and mortality. Safety issues weigh heavil
Externí odkaz:
https://doaj.org/article/d00a5385ee3442c8b8bf14c049634320
Autor:
Moon, Suhong, Abdulhai, Marwa, Kang, Minwoo, Suh, Joseph, Soedarmadji, Widyadewi, Behar, Eran Kohen, Chan, David M.
Large language models (LLMs) are trained from vast repositories of text authored by millions of distinct authors, reflecting an enormous diversity of human traits. While these models bear the potential to be used as approximations of human subjects i
Externí odkaz:
http://arxiv.org/abs/2407.06576
Autor:
Chan, David, Vogeli, Chase
We compute the $RO(G)$-graded equivariant algebraic $K$-groups of a finite field with an action by its Galois group $G$. Specifically, we show these $K$-groups split as the sum of an explicitly computable term and the well-studied $RO(G)$-graded coef
Externí odkaz:
http://arxiv.org/abs/2406.19481
Autor:
Petryk, Suzanne, Chan, David M., Kachinthaya, Anish, Zou, Haodi, Canny, John, Gonzalez, Joseph E., Darrell, Trevor
Despite recent advances in multimodal pre-training for visual description, state-of-the-art models still produce captions containing errors, such as hallucinating objects not present in a scene. The existing prominent metric for object hallucination,
Externí odkaz:
http://arxiv.org/abs/2404.02904
Autor:
Jain, Yash, Chan, David, Dheram, Pranav, Khare, Aparna, Shonibare, Olabanji, Ravichandran, Venkatesh, Ghosh, Shalini
Recent advances in machine learning have demonstrated that multi-modal pre-training can improve automatic speech recognition (ASR) performance compared to randomly initialized models, even when models are fine-tuned on uni-modal tasks. Existing multi
Externí odkaz:
http://arxiv.org/abs/2403.19822
Autor:
Chen, Jian, Chen, Mingcong, Zhao, Qingxiang, Wang, Shuai, Wang, Yihe, Xiao, Ying, Hu, Jian, Chan, Danny Tat Ming, Yeung, Kam Tong Leo, Chan, David Yuen Chung, Liu, Hongbin
Traditional rigid endoscopes have challenges in flexibly treating tumors located deep in the brain, and low operability and fixed viewing angles limit its development. This study introduces a novel dual-segment flexible robotic endoscope MicroNeuro,
Externí odkaz:
http://arxiv.org/abs/2402.09679
Autor:
Richardson, Julie, Letts, Lori, Sinclair, Susanne, Chan, David, Miller, Jordan, Donnelly, Catherine, Smith-Turchyn, Jenna, Wojkowski, Sarah, Gravesande, Janelle, Loyola Sánchez, Adalberto
Publikováno v:
JMIR Rehabilitation and Assistive Technologies, Vol 8, Iss 1, p e19519 (2021)
BackgroundThe global rise in the incidence of chronic conditions and aging is associated with increased disability. Physiotherapists and occupational therapists can mitigate the resulting burden on the health care system with their expertise in optim
Externí odkaz:
https://doaj.org/article/789f8df65613424b860c305572f8e9d9
The Internet's wealth of content, with up to 60% published in English, starkly contrasts the global population, where only 18.8% are English speakers, and just 5.1% consider it their native language, leading to disparities in online information acces
Externí odkaz:
http://arxiv.org/abs/2401.05314
Modern ConvNets continue to achieve state-of-the-art results over a vast array of vision and image classification tasks, but at the cost of increasing parameters. One strategy for compactifying a network without sacrificing much expressive power is t
Externí odkaz:
http://arxiv.org/abs/2401.03384
While word error rates of automatic speech recognition (ASR) systems have consistently fallen, natural language understanding (NLU) applications built on top of ASR systems still attribute significant numbers of failures to low-quality speech recogni
Externí odkaz:
http://arxiv.org/abs/2401.02417