Zobrazeno 1 - 10
of 6 407
pro vyhledávání: '"Førde IS"'
Autor:
Xu, Maxwell A., Narain, Jaya, Darnell, Gregory, Hallgrimsson, Haraldur, Jeong, Hyewon, Forde, Darren, Fineman, Richard, Raghuram, Karthik J., Rehg, James M., Ren, Shirley
We present RelCon, a novel self-supervised *Rel*ative *Con*trastive learning approach that uses a learnable distance measure in combination with a softened contrastive loss for training an motion foundation model from wearable sensors. The learnable
Externí odkaz:
http://arxiv.org/abs/2411.18822
Autor:
Biderman, Stella, Schoelkopf, Hailey, Sutawika, Lintang, Gao, Leo, Tow, Jonathan, Abbasi, Baber, Aji, Alham Fikri, Ammanamanchi, Pawan Sasanka, Black, Sidney, Clive, Jordan, DiPofi, Anthony, Etxaniz, Julen, Fattori, Benjamin, Forde, Jessica Zosa, Foster, Charles, Hsu, Jeffrey, Jaiswal, Mimansa, Lee, Wilson Y., Li, Haonan, Lovering, Charles, Muennighoff, Niklas, Pavlick, Ellie, Phang, Jason, Skowron, Aviya, Tan, Samson, Tang, Xiangru, Wang, Kevin A., Winata, Genta Indra, Yvon, François, Zou, Andy
Effective evaluation of language models remains an open challenge in NLP. Researchers and engineers face methodological issues such as the sensitivity of models to evaluation setup, difficulty of proper comparisons across methods, and the lack of rep
Externí odkaz:
http://arxiv.org/abs/2405.14782
Autor:
Forde, Shawn, Giles, Audrey R., Stewart-Withers, Rochelle, Rynne, Steven, Hapeta, Jeremy, Hayhurst, Lyndsay, Henhawk, Daniel
Publikováno v:
International Indigenous Policy Journal, 2024 Apr 01. 15(1), 1-31.
Externí odkaz:
https://www.jstor.org/stable/48778703
Autor:
Kristin Engh Førde
Publikováno v:
Tidsskrift for Kjønnsforskning, Vol 48, Iss 3, Pp 130-144 (2024)
Med fraspark i en informants beskrivelse av nedfrysing av egne ubefruktede egg som «vår generasjons p-pille» diskuterer jeg i denne artikkelen i hvilken grad og på hvilke måter kvinner fra millenialgenerasjonen i en nordisk velferdsstat opplever
Externí odkaz:
https://doaj.org/article/fb413ab940e042a9a96fdc2501c1269b
Autor:
Kristin Engh Førde, Ingvill Stuvøy
Publikováno v:
Tidsskrift for Kjønnsforskning, Vol 48, Iss 3, Pp 170-181 (2024)
Externí odkaz:
https://doaj.org/article/1005c116412b4df49d0fdb43cf0c25bd
Autor:
Kristin Engh Førde, Ingvill Stuvøy
Publikováno v:
Tidsskrift for Kjønnsforskning, Vol 48, Iss 3, Pp 109-111 (2024)
Externí odkaz:
https://doaj.org/article/e70b65b9bbd14c398926d301559c8b99
Autor:
Lee, Ji-Ung, Puerto, Haritz, van Aken, Betty, Arase, Yuki, Forde, Jessica Zosa, Derczynski, Leon, Rücklé, Andreas, Gurevych, Iryna, Schwartz, Roy, Strubell, Emma, Dodge, Jesse
Many recent improvements in NLP stem from the development and use of large pre-trained language models (PLMs) with billions of parameters. Large model sizes makes computational cost one of the main limiting factors for training and evaluating such mo
Externí odkaz:
http://arxiv.org/abs/2306.16900
Autor:
Jan-Lukas Førde, Abdelnour Alhourani, Tian Carey, Adrees Arbab, Kari E. Fladmark, Silje Skrede, Tom Eirik Mollnes, Lars Herfindal, Hanne R. Hagland
Publikováno v:
ACS Omega, Vol 9, Iss 39, Pp 40468-40476 (2024)
Externí odkaz:
https://doaj.org/article/c5a574877dc544b99d96c419e751c6d4
Autor:
Yong, Zheng-Xin, Zhang, Ruochen, Forde, Jessica Zosa, Wang, Skyler, Subramonian, Arjun, Lovenia, Holy, Cahyawijaya, Samuel, Winata, Genta Indra, Sutawika, Lintang, Cruz, Jan Christian Blaise, Tan, Yin Lin, Phan, Long, Garcia, Rowena, Solorio, Thamar, Aji, Alham Fikri
While code-mixing is a common linguistic practice in many parts of the world, collecting high-quality and low-cost code-mixed data remains a challenge for natural language processing (NLP) research. The recent proliferation of Large Language Models (
Externí odkaz:
http://arxiv.org/abs/2303.13592
Autor:
Dagny Førde, Thomas Kilvær, Mona Irene Pedersen, Egil S Blix, Ilona Urbarova, Erna-Elise Paulsen, Mehrdad Rakaee, Lill-Tove Rasmussen Busund, Tom Donnem, Sigve Andersen
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
IntroductionTumor-infiltrating lymphocytes are both prognostic and predictive biomarkers for immunotherapy response. However, less is known about the survival benefits oftheir subpopulations.MethodsUsing machine learning models, we assessed the clini
Externí odkaz:
https://doaj.org/article/757f0a38143c48e79d7e199fbd984086