Zobrazeno 1 - 10
of 69 336
pro vyhledávání: '"Shetty, A"'
Autor:
Ahmed, Faruk, Sellergren, Andrew, Yang, Lin, Xu, Shawn, Babenko, Boris, Ward, Abbi, Olson, Niels, Mohtashamian, Arash, Matias, Yossi, Corrado, Greg S., Duong, Quang, Webster, Dale R., Shetty, Shravya, Golden, Daniel, Liu, Yun, Steiner, David F., Wulczyn, Ellery
Microscopic interpretation of histopathology images underlies many important diagnostic and treatment decisions. While advances in vision-language modeling raise new opportunities for analysis of such images, the gigapixel-scale size of whole slide i
Externí odkaz:
http://arxiv.org/abs/2406.19578
Large Language Models(LLMs) have shown exceptional abilities, yet training these models can be quite challenging. There is a strong dependence on the quality of data and finding the best instruction tuning set. Further, the inherent limitations in tr
Externí odkaz:
http://arxiv.org/abs/2406.19112
Autor:
Trella, Anna L., Zhang, Kelly W., Carpenter, Stephanie M., Elashoff, David, Greer, Zara M., Nahum-Shani, Inbal, Ruenger, Dennis, Shetty, Vivek, Murphy, Susan A.
Dental disease is still one of the most common chronic diseases in the United States. While dental disease is preventable through healthy oral self-care behaviors (OSCB), this basic behavior is not consistently practiced. We have developed Oralytics,
Externí odkaz:
http://arxiv.org/abs/2406.13127
Matching a target spectrum with known spectra in a spectral library is a common method for material identification in hyperspectral imaging research. Hyperspectral spectra exhibit precise absorption features across different wavelength segments, and
Externí odkaz:
http://arxiv.org/abs/2406.13006
Autor:
Cosentino, Justin, Belyaeva, Anastasiya, Liu, Xin, Furlotte, Nicholas A., Yang, Zhun, Lee, Chace, Schenck, Erik, Patel, Yojan, Cui, Jian, Schneider, Logan Douglas, Bryant, Robby, Gomes, Ryan G., Jiang, Allen, Lee, Roy, Liu, Yun, Perez, Javier, Rogers, Jameson K., Speed, Cathy, Tailor, Shyam, Walker, Megan, Yu, Jeffrey, Althoff, Tim, Heneghan, Conor, Hernandez, John, Malhotra, Mark, Stern, Leor, Matias, Yossi, Corrado, Greg S., Patel, Shwetak, Shetty, Shravya, Zhan, Jiening, Prabhakara, Shruthi, McDuff, Daniel, McLean, Cory Y.
In health, most large language model (LLM) research has focused on clinical tasks. However, mobile and wearable devices, which are rarely integrated into such tasks, provide rich, longitudinal data for personal health monitoring. Here we present Pers
Externí odkaz:
http://arxiv.org/abs/2406.06474
Autor:
Chawla, Palak, Shweta, Swain, K. R., Patel, Tushti, Bala, Renu, Shetty, Disha, Sugisaki, Kenji, Mandal, Sudhindu Bikash, Riu, Jordi, Nogue, Jan, Prasannaa, V. S., Das, B. P.
The quantum-classical hybrid Variational Quantum Eigensolver (VQE) algorithm is recognized to be the method of choice to obtain ground state energies of quantum many-body systems in the noisy intermediate scale quantum (NISQ) era. This study not only
Externí odkaz:
http://arxiv.org/abs/2406.04992
We study the problem of learning under arbitrary distribution shift, where the learner is trained on a labeled set from one distribution but evaluated on a different, potentially adversarially generated test distribution. We focus on two frameworks:
Externí odkaz:
http://arxiv.org/abs/2406.02742
Autor:
Lingam, Vijay, Tejaswi, Atula, Vavre, Aditya, Shetty, Aneesh, Gudur, Gautham Krishna, Ghosh, Joydeep, Dimakis, Alex, Choi, Eunsol, Bojchevski, Aleksandar, Sanghavi, Sujay
Popular parameter-efficient fine-tuning (PEFT) methods, such as LoRA and its variants, freeze pre-trained model weights \(W\) and inject learnable matrices \(\Delta W\). These \(\Delta W\) matrices are structured for efficient parameterization, often
Externí odkaz:
http://arxiv.org/abs/2405.19597
Recent advances in robot skill learning have unlocked the potential to construct task-agnostic skill libraries, facilitating the seamless sequencing of multiple simple manipulation primitives (aka. skills) to tackle significantly more complex tasks.
Externí odkaz:
http://arxiv.org/abs/2405.04082
Autor:
Yang, Lin, Xu, Shawn, Sellergren, Andrew, Kohlberger, Timo, Zhou, Yuchen, Ktena, Ira, Kiraly, Atilla, Ahmed, Faruk, Hormozdiari, Farhad, Jaroensri, Tiam, Wang, Eric, Wulczyn, Ellery, Jamil, Fayaz, Guidroz, Theo, Lau, Chuck, Qiao, Siyuan, Liu, Yun, Goel, Akshay, Park, Kendall, Agharwal, Arnav, George, Nick, Wang, Yang, Tanno, Ryutaro, Barrett, David G. T., Weng, Wei-Hung, Mahdavi, S. Sara, Saab, Khaled, Tu, Tao, Kalidindi, Sreenivasa Raju, Etemadi, Mozziyar, Cuadros, Jorge, Sorensen, Gregory, Matias, Yossi, Chou, Katherine, Corrado, Greg, Barral, Joelle, Shetty, Shravya, Fleet, David, Eslami, S. M. Ali, Tse, Daniel, Prabhakara, Shruthi, McLean, Cory, Steiner, Dave, Pilgrim, Rory, Kelly, Christopher, Azizi, Shekoofeh, Golden, Daniel
Many clinical tasks require an understanding of specialized data, such as medical images and genomics, which is not typically found in general-purpose large multimodal models. Building upon Gemini's multimodal models, we develop several models within
Externí odkaz:
http://arxiv.org/abs/2405.03162