Zobrazeno 1 - 10
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pro vyhledávání: '"King, Daniel A"'
Monitoring of Diffuse Intrinsic Pontine Glioma (DIPG) and Diffuse Midline Glioma (DMG) brain tumors in pediatric patients is key for assessment of treatment response. Response Assessment in Pediatric Neuro-Oncology (RAPNO) guidelines recommend the vo
Externí odkaz:
http://arxiv.org/abs/2410.14020
Autor:
Biderman, Dan, Portes, Jacob, Ortiz, Jose Javier Gonzalez, Paul, Mansheej, Greengard, Philip, Jennings, Connor, King, Daniel, Havens, Sam, Chiley, Vitaliy, Frankle, Jonathan, Blakeney, Cody, Cunningham, John P.
Low-Rank Adaptation (LoRA) is a widely-used parameter-efficient finetuning method for large language models. LoRA saves memory by training only low rank perturbations to selected weight matrices. In this work, we compare the performance of LoRA and f
Externí odkaz:
http://arxiv.org/abs/2405.09673
The localized active space self consistent field (LASSCF) method factorizes a complete active space (CAS) wave function into an antisymmetrized product of localized active space wave function fragments. Correlation between fragments is then reintrodu
Externí odkaz:
http://arxiv.org/abs/2403.15495
Autor:
Portes, Jacob, Trott, Alex, Havens, Sam, King, Daniel, Venigalla, Abhinav, Nadeem, Moin, Sardana, Nikhil, Khudia, Daya, Frankle, Jonathan
Publikováno v:
NeurIPS 2023
Although BERT-style encoder models are heavily used in NLP research, many researchers do not pretrain their own BERTs from scratch due to the high cost of training. In the past half-decade since BERT first rose to prominence, many advances have been
Externí odkaz:
http://arxiv.org/abs/2312.17482
Autor:
Miyabe, Shungo, Quanz, Brian, Shimada, Noriaki, Mitra, Abhijit, Yamamoto, Takahiro, Rastunkov, Vladimir, Alevras, Dimitris, Metcalf, Mekena, King, Daniel J. M., Mamouei, Mohammad, Jackson, Matthew D., Brown, Martin, Intallura, Philip, Park, Jae-Eun
Financial services is a prospect industry where unlocked near-term quantum utility could yield profitable potential, and, in particular, quantum machine learning algorithms could potentially benefit businesses by improving the quality of predictive m
Externí odkaz:
http://arxiv.org/abs/2312.00260
Encoding classical data on quantum spin Hamiltonians yields ordered spin ground states which are used to discriminate data types for binary classification. The Ising Hamiltonian is a typical spin model to encode classical data onto qubits, known as t
Externí odkaz:
http://arxiv.org/abs/2303.01461
Autor:
Kinney, Rodney, Anastasiades, Chloe, Authur, Russell, Beltagy, Iz, Bragg, Jonathan, Buraczynski, Alexandra, Cachola, Isabel, Candra, Stefan, Chandrasekhar, Yoganand, Cohan, Arman, Crawford, Miles, Downey, Doug, Dunkelberger, Jason, Etzioni, Oren, Evans, Rob, Feldman, Sergey, Gorney, Joseph, Graham, David, Hu, Fangzhou, Huff, Regan, King, Daniel, Kohlmeier, Sebastian, Kuehl, Bailey, Langan, Michael, Lin, Daniel, Liu, Haokun, Lo, Kyle, Lochner, Jaron, MacMillan, Kelsey, Murray, Tyler, Newell, Chris, Rao, Smita, Rohatgi, Shaurya, Sayre, Paul, Shen, Zejiang, Singh, Amanpreet, Soldaini, Luca, Subramanian, Shivashankar, Tanaka, Amber, Wade, Alex D., Wagner, Linda, Wang, Lucy Lu, Wilhelm, Chris, Wu, Caroline, Yang, Jiangjiang, Zamarron, Angele, Van Zuylen, Madeleine, Weld, Daniel S.
The volume of scientific output is creating an urgent need for automated tools to help scientists keep up with developments in their field. Semantic Scholar (S2) is an open data platform and website aimed at accelerating science by helping scholars d
Externí odkaz:
http://arxiv.org/abs/2301.10140
Autor:
King, Daniel1 (AUTHOR) daniel.king@ntu.ac.uk, Griffin, Martyn2 (AUTHOR)
Publikováno v:
Organization. Nov2024, Vol. 31 Issue 8, p1193-1213. 21p.
Autor:
Murthy, Sonia K., Lo, Kyle, King, Daniel, Bhagavatula, Chandra, Kuehl, Bailey, Johnson, Sophie, Borchardt, Jonathan, Weld, Daniel S., Hope, Tom, Downey, Doug
Systems that can automatically define unfamiliar terms hold the promise of improving the accessibility of scientific texts, especially for readers who may lack prerequisite background knowledge. However, current systems assume a single "best" descrip
Externí odkaz:
http://arxiv.org/abs/2205.06982
Publikováno v:
The ACM/IEEE Joint Conference on Digital Libraries in 2022 (JCDL '22), June 20-24, 2022, Cologne, Germany
Mentorship is a critical component of academia, but is not as visible as publications, citations, grants, and awards. Despite the importance of studying the quality and impact of mentorship, there are few large representative mentorship datasets avai
Externí odkaz:
http://arxiv.org/abs/2204.10838