Zobrazeno 1 - 10
of 458
pro vyhledávání: '"A. Kolbeinsson"'
Autor:
Kolbeinsson, Arinbjorn, O'Brien, Kyle, Huang, Tianjin, Gao, Shanghua, Liu, Shiwei, Schwarz, Jonathan Richard, Vaidya, Anurag, Mahmood, Faisal, Zitnik, Marinka, Chen, Tianlong, Hartvigsen, Thomas
Test-time interventions for language models can enhance factual accuracy, mitigate harmful outputs, and improve model efficiency without costly retraining. But despite a flood of new methods, different types of interventions are largely developing in
Externí odkaz:
http://arxiv.org/abs/2407.06483
Traditional knowledge distillation (KD) relies on a proficient teacher trained on the target task, which is not always available. In this setting, cross-task distillation can be used, enabling the use of any teacher model trained on a different task.
Externí odkaz:
http://arxiv.org/abs/2403.14494
The advancement of autonomous drones, essential for sectors such as remote sensing and emergency services, is hindered by the absence of training datasets that fully capture the environmental challenges present in real-world scenarios, particularly o
Externí odkaz:
http://arxiv.org/abs/2312.12494
Autor:
Kolbeinsson, Arinbjörn, Foschini, Luca
Data scarcity is a common obstacle in medical research due to the high costs associated with data collection and the complexity of gaining access to and utilizing data. Synthesizing health data may provide an efficient and cost-effective solution to
Externí odkaz:
http://arxiv.org/abs/2307.16664
Semantic segmentation from aerial views is a crucial task for autonomous drones, as they rely on precise and accurate segmentation to navigate safely and efficiently. However, aerial images present unique challenges such as diverse viewpoints, extrem
Externí odkaz:
http://arxiv.org/abs/2212.00787
Publikováno v:
PLOS Digital Health, Vol 3, Iss 9, p e0000584 (2024)
The timely identification of infectious pre-symptomatic and asymptomatic cases is key towards preventing the spread of a viral illness like COVID-19. Early identification has been done through routine testing programs, which are indeed costly and pot
Externí odkaz:
https://doaj.org/article/084cdd1c349b4309b42bdf243e1b0cd1
Autor:
Rob S. A. van Bemmelen, Børge Moe, Hans Schekkerman, Sveinn Are Hansen, Katherine R. S. Snell, Elizabeth M. Humphreys, Elina Mäntylä, Gunnar Thor Hallgrimsson, Olivier Gilg, Dorothée Ehrich, John Calladine, Sjúrður Hammer, Sarah Harris, Johannes Lang, Sölvi Rúnar Vignisson, Yann Kolbeinsson, Kimmo Nuotio, Matti Sillanpää, Benoît Sittler, Aleksandr Sokolov, Raymond H. G. Klaassen, Richard A. Phillips, Ingrid Tulp
Publikováno v:
Movement Ecology, Vol 12, Iss 1, Pp 1-15 (2024)
Abstract Background Migratory birds generally have tightly scheduled annual cycles, in which delays can have carry-over effects on the timing of later events, ultimately impacting reproductive output. Whether temporal carry-over effects are more pron
Externí odkaz:
https://doaj.org/article/607088b619db475287d2832bc10cab5c
Publikováno v:
BMJ Open Sport & Exercise Medicine, Vol 10, Iss 3 (2024)
Objectives To explore the relationships between age, gender, type of sport, perfectionistic self-presentation and motivation on body satisfaction among young athletes in one aesthetic sport (gymnastics) and one non-aesthetic sport (basketball). The s
Externí odkaz:
https://doaj.org/article/d66b16eafccf4a94a03cd0da9a68fed9
Autor:
Alvarez-Ordóñez, Avelino, Alvarez, Pablo, Antonielli, Livio, Arendt, Elke, Armanini, Federica, Aubry, Aurelie, Baelum, Jacob, Barcenilla, Coral, Belanche, Alejandro, Benavent-Gil, Yaiza, Blake, Tony, Blanco-Míguez, Aitor, Bongoni, Radhika, Boyer, Mickael, Brennan, Fiona, Breselge, Samuel, Briem, Helgi, Butler, Derek, Calvete-Torre, Inés, Carballo, Omar Cristobal, Cardinal, Mireille, Carlino, Niccolò, Chervaux, Christian, Chopin, Christine, Clotaire, Natallia, Coakley, Mairead, Cobo-Díaz, José Francisco, Codd, Jim, Conroy, Stephen, Corral-Jara, Karla Fabiola, Corral-Jara, Karla-Fabiola, Cotter, Paul D., Coyne, Gerard, Creevey, Chris, Cuevas, Patricia D., Curran, Brendan, Delgado, Susana, Derde, Liesbeth, Derrien, Muriel, Ercolini, Danilo, Exposito, Ruth Gomez, López Fernández, María Mercedes, De Filippis, Francesca, Fordham, Daniel, Galy, Hubert, Gavriilidou, Asimenia, Gunnarsson, Oddur, Hanson, Buck, Hermes, Gerben, Huang, Rongcai, Huws, Sharon, Ikoyi, Israel, Jaeger, Alice, Jeffery, Ian, Jérôme, Marc, Juan, Pierre-Alexandre, Kenny, David, Kers, Annelies, Khinouche, Karim-Franck, Kirwan, Stuart, Klaassens, Eline S., Knobloch, Stephen, Kolbeinsson, Kristinn, Kolypczuk, Laetitia, Kostic, Tanja, Ledda, Fabio, Leech, John, Lehmann, Doerte, Leroi, Françoise, Lewis, Eva, Ley, Johanna, Lucic, Eva, Lynch, Kieran, Mace, Sabrina, MacLaren-Lee, Iain, Mahler de Sanchez, Lisa, Marchart, Juergen, Margolles, Abelardo, Marteinsson, Viggó Thór, Masetti, Giulia, McGovern, Fiona, McHugh, Noirin, McLoughlin, Steven, Meehan, Dara, Mølbak, Lars, Monin, Thomas, Moreno, Javier, Morgavi, Diego, Morrison, Steven, Müench, Steffen, Ramos Neves, Ana Rute, Neylon, Emma, Nyhan, Laura, O’Kelly, Rhona, O’Neil, Dominic, O’Toole, Paul, Ortiz-Chura, Abimael, Palma, Juan Manuel, Pasolli, Edoardo, Passerini, Delphine, Pastar, Milica, Pinto, Federica, Pirovano, Walter, Plans, Olga, Policht, Marion, Pop, Aurel, Pop, Bianca, Popova, Milka, Prieto, Miguel, Quijada, Narciso M., Reiss, Antje, Romero, Pedro, Ruas-Madiedo, Patricia, Rubino, Francesco, Rubio, Raul Cabrera, Ruiz, Lorena, Ryan, Angela, Ryan, Clodagh, Sabater, Carlos, Sahin, Aylin, Salaun, Cecile, Santos, Fernanda Godoy, Schneider, Carolin, Segata, Nicola, Selberherr, Evelyne, Sessitsch, Angela, Skírnisdóttir, Sigurlaug, Smidt, Hauke, Smith, Paul, Sprenger-Haussels, Markus, Tapio, Ilma, Tap, Julien, Valentino, Vincenzo, Wagner, Martin, Walsh, Aaron, Walsh, Liam, Waters, Sinead M., Willcocks, Spike, Yáñez-Ruiz, David R., Yan, Tianhai, Yap, Min, Zannini, Emanuele, Zuliani, Véronique, Punčochář, Michal, Mengoni, Claudia, Tatti, Alessia, Manghi, Paolo, Avagliano, Michele, Cabrera-Rubio, Raul, Coakley, Mairéad, Cobo-Díaz, José F., Dey, Hrituraj, Asnicar, Francesco, Fackelmann, Gloria, Heidrich, Vitor, Rota Stabelli, Omar
Publikováno v:
In Cell 3 October 2024 187(20):5775-5795
Self-supervision may boost model performance in downstream tasks. However, there is no principled way of selecting the self-supervised objectives that yield the most adaptable models. Here, we study this problem on daily time-series data generated fr
Externí odkaz:
http://arxiv.org/abs/2112.13755