Zobrazeno 1 - 10
of 3 687
pro vyhledávání: '"P Sukumaran"'
Recent advances in parameter-efficient fine-tuning methods, such as Low Rank Adaptation (LoRA), have gained significant attention for their ability to efficiently adapt large foundational models to various downstream tasks. These methods are apprecia
Externí odkaz:
http://arxiv.org/abs/2410.17358
Publikováno v:
Journal of Open Source Software, 9(101), 6943
Contemporary bioinformatics has seen in profound new visibility into the composition, structure, and history of the natural world around us. Arguably, the central pillar of bioinformatics is phylogenetics -- the study of hereditary relatedness among
Externí odkaz:
http://arxiv.org/abs/2405.14120
Autor:
Alexander, Koen, Bahgat, Andrea, Benyamini, Avishai, Black, Dylan, Bonneau, Damien, Burgos, Stanley, Burridge, Ben, Campbell, Geoff, Catalano, Gabriel, Ceballos, Alex, Chang, Chia-Ming, Chung, CJ, Danesh, Fariba, Dauer, Tom, Davis, Michael, Dudley, Eric, Er-Xuan, Ping, Fargas, Josep, Farsi, Alessandro, Fenrich, Colleen, Frazer, Jonathan, Fukami, Masaya, Ganesan, Yogeeswaran, Gibson, Gary, Gimeno-Segovia, Mercedes, Goeldi, Sebastian, Goley, Patrick, Haislmaier, Ryan, Halimi, Sami, Hansen, Paul, Hardy, Sam, Horng, Jason, House, Matthew, Hu, Hong, Jadidi, Mehdi, Johansson, Henrik, Jones, Thomas, Kamineni, Vimal, Kelez, Nicholas, Koustuban, Ravi, Kovall, George, Krogen, Peter, Kumar, Nikhil, Liang, Yong, LiCausi, Nicholas, Llewellyn, Dan, Lokovic, Kimberly, Lovelady, Michael, Manfrinato, Vitor, Melnichuk, Ann, Souza, Mario, Mendoza, Gabriel, Moores, Brad, Mukherjee, Shaunak, Munns, Joseph, Musalem, Francois-Xavier, Najafi, Faraz, O'Brien, Jeremy L., Ortmann, J. Elliott, Pai, Sunil, Park, Bryan, Peng, Hsuan-Tung, Penthorn, Nicholas, Peterson, Brennan, Poush, Matt, Pryde, Geoff J., Ramprasad, Tarun, Ray, Gareth, Rodriguez, Angelita, Roxworthy, Brian, Rudolph, Terry, Saunders, Dylan J., Shadbolt, Pete, Shah, Deesha, Shin, Hyungki, Smith, Jake, Sohn, Ben, Sohn, Young-Ik, Son, Gyeongho, Sparrow, Chris, Staffaroni, Matteo, Stavrakas, Camille, Sukumaran, Vijay, Tamborini, Davide, Thompson, Mark G., Tran, Khanh, Triplet, Mark, Tung, Maryann, Vert, Alexey, Vidrighin, Mihai D., Vorobeichik, Ilya, Weigel, Peter, Wingert, Mathhew, Wooding, Jamie, Zhou, Xinran
Whilst holding great promise for low noise, ease of operation and networking, useful photonic quantum computing has been precluded by the need for beyond-state-of-the-art components, manufactured by the millions. Here we introduce a manufacturable pl
Externí odkaz:
http://arxiv.org/abs/2404.17570
Humans can learn a new word and infer its grammatical properties from very few examples. They have an abstract notion of linguistic properties like grammatical gender and agreement rules that can be applied to novel syntactic contexts and words. Draw
Externí odkaz:
http://arxiv.org/abs/2403.10338
Autor:
Javed, Tahir, Nawale, Janki Atul, George, Eldho Ittan, Joshi, Sakshi, Bhogale, Kaushal Santosh, Mehendale, Deovrat, Sethi, Ishvinder Virender, Ananthanarayanan, Aparna, Faquih, Hafsah, Palit, Pratiti, Ravishankar, Sneha, Sukumaran, Saranya, Panchagnula, Tripura, Murali, Sunjay, Gandhi, Kunal Sharad, R, Ambujavalli, M, Manickam K, Vaijayanthi, C Venkata, Karunganni, Krishnan Srinivasa Raghavan, Kumar, Pratyush, Khapra, Mitesh M
We present INDICVOICES, a dataset of natural and spontaneous speech containing a total of 7348 hours of read (9%), extempore (74%) and conversational (17%) audio from 16237 speakers covering 145 Indian districts and 22 languages. Of these 7348 hours,
Externí odkaz:
http://arxiv.org/abs/2403.01926
Autor:
Hashemizadeh, Meraj, Ramirez, Juan, Sukumaran, Rohan, Farnadi, Golnoosh, Lacoste-Julien, Simon, Gallego-Posada, Jose
Model pruning is a popular approach to enable the deployment of large deep learning models on edge devices with restricted computational or storage capacities. Although sparse models achieve performance comparable to that of their dense counterparts
Externí odkaz:
http://arxiv.org/abs/2310.20673
Autor:
Sesha Subramanian Murugan, Chang Hyeon Ha, Pandurang Appana Dalavi, Sukumaran Anil, Jayachandran Venkatesan, Gi Hun Seong
Publikováno v:
ACS Omega, Vol 9, Iss 47, Pp 46904-46915 (2024)
Externí odkaz:
https://doaj.org/article/9ac9c203067046179b4eb23eaadc81ae
Autor:
Ravinder Saini, Sunil Kumar Vaddamanu, Masroor Ahmed Kanji, Syed Altafuddin Quadri, Saeed Awod Bin Hassan, Sukumaran Anil, Deepti Shrivastava, Kumar Chandan Srivastava
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Resin cement exhibits numerous therapeutic advantages over conventional luting materials. However, the effectiveness of the antibacterial properties of resin cement remains unclear. Nanotechnology provides a viable option, whereby the integr
Externí odkaz:
https://doaj.org/article/a4be66307f8c45228a91ad3f8c63cfe2
Autor:
Nisha Krishnan, Sandhya Sukumaran, V. G. Vysakh, Wilson Sebastian, Anjaly Jose, Neenu Raj, A. Gopalakrishnan
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-12 (2024)
Abstract Cephalopods have dominated the oceans for hundreds of millions of years and are unquestionably at the peak of molluscan evolution. The development of the large brain and a well-sophisticated sensory system contributed significantly to its su
Externí odkaz:
https://doaj.org/article/970482a7be4a4d01aaf946123ed0cfa6
Autor:
Kesavan Devarayan, Gangeswar Mohan, Yazhiniyan Palanisamy, Anand Theivasigamani, Evon Umesh Siluvai John, Monikandon Sukumaran, Hema Anjappan
Publikováno v:
Discover Food, Vol 4, Iss 1, Pp 1-12 (2024)
Abstract The development of a biopolymer-based color-changing visual sensor for monitoring the spoilage of fishery products is described in this study. At first, a cellulose-based composite film containing mixed-indicator dyes was fabricated. The fil
Externí odkaz:
https://doaj.org/article/27827c2908f842c580af7d82cd0aeab4