Zobrazeno 1 - 10
of 1 043
pro vyhledávání: '"Smyrnis A"'
Autor:
Li, Jeffrey, Fang, Alex, Smyrnis, Georgios, Ivgi, Maor, Jordan, Matt, Gadre, Samir, Bansal, Hritik, Guha, Etash, Keh, Sedrick, Arora, Kushal, Garg, Saurabh, Xin, Rui, Muennighoff, Niklas, Heckel, Reinhard, Mercat, Jean, Chen, Mayee, Gururangan, Suchin, Wortsman, Mitchell, Albalak, Alon, Bitton, Yonatan, Nezhurina, Marianna, Abbas, Amro, Hsieh, Cheng-Yu, Ghosh, Dhruba, Gardner, Josh, Kilian, Maciej, Zhang, Hanlin, Shao, Rulin, Pratt, Sarah, Sanyal, Sunny, Ilharco, Gabriel, Daras, Giannis, Marathe, Kalyani, Gokaslan, Aaron, Zhang, Jieyu, Chandu, Khyathi, Nguyen, Thao, Vasiljevic, Igor, Kakade, Sham, Song, Shuran, Sanghavi, Sujay, Faghri, Fartash, Oh, Sewoong, Zettlemoyer, Luke, Lo, Kyle, El-Nouby, Alaaeldin, Pouransari, Hadi, Toshev, Alexander, Wang, Stephanie, Groeneveld, Dirk, Soldaini, Luca, Koh, Pang Wei, Jitsev, Jenia, Kollar, Thomas, Dimakis, Alexandros G., Carmon, Yair, Dave, Achal, Schmidt, Ludwig, Shankar, Vaishaal
We introduce DataComp for Language Models (DCLM), a testbed for controlled dataset experiments with the goal of improving language models. As part of DCLM, we provide a standardized corpus of 240T tokens extracted from Common Crawl, effective pretrai
Externí odkaz:
http://arxiv.org/abs/2406.11794
Autor:
Gadre, Samir Yitzhak, Smyrnis, Georgios, Shankar, Vaishaal, Gururangan, Suchin, Wortsman, Mitchell, Shao, Rulin, Mercat, Jean, Fang, Alex, Li, Jeffrey, Keh, Sedrick, Xin, Rui, Nezhurina, Marianna, Vasiljevic, Igor, Jitsev, Jenia, Soldaini, Luca, Dimakis, Alexandros G., Ilharco, Gabriel, Koh, Pang Wei, Song, Shuran, Kollar, Thomas, Carmon, Yair, Dave, Achal, Heckel, Reinhard, Muennighoff, Niklas, Schmidt, Ludwig
Scaling laws are useful guides for derisking expensive training runs, as they predict performance of large models using cheaper, small-scale experiments. However, there remain gaps between current scaling studies and how language models are ultimatel
Externí odkaz:
http://arxiv.org/abs/2403.08540
Publikováno v:
Frontiers in Psychiatry, Vol 15 (2024)
BackgroundAssociating temporal variation of biomarkers with the onset of psychotic relapse could help demystify the pathogenesis of psychosis as a pathological brain state, while allowing for timely intervention, thus ameliorating clinical outcome. I
Externí odkaz:
https://doaj.org/article/b62af93ecb7b40acadbc777395b933d9
Autor:
Gadre, Samir Yitzhak, Ilharco, Gabriel, Fang, Alex, Hayase, Jonathan, Smyrnis, Georgios, Nguyen, Thao, Marten, Ryan, Wortsman, Mitchell, Ghosh, Dhruba, Zhang, Jieyu, Orgad, Eyal, Entezari, Rahim, Daras, Giannis, Pratt, Sarah, Ramanujan, Vivek, Bitton, Yonatan, Marathe, Kalyani, Mussmann, Stephen, Vencu, Richard, Cherti, Mehdi, Krishna, Ranjay, Koh, Pang Wei, Saukh, Olga, Ratner, Alexander, Song, Shuran, Hajishirzi, Hannaneh, Farhadi, Ali, Beaumont, Romain, Oh, Sewoong, Dimakis, Alex, Jitsev, Jenia, Carmon, Yair, Shankar, Vaishaal, Schmidt, Ludwig
Multimodal datasets are a critical component in recent breakthroughs such as Stable Diffusion and GPT-4, yet their design does not receive the same research attention as model architectures or training algorithms. To address this shortcoming in the M
Externí odkaz:
http://arxiv.org/abs/2304.14108
Autor:
Vasiliki Yotsidi, Charis Ntakolia, Ioanna Rannou, Pilios-Dimitris Stavrou, Panagiotis Ferentinos, Athanasios Douzenis, Nikolaos Smyrnis, Efthimia Gavriilidou, Rossetos Gournellis
Publikováno v:
Research in Psychotherapy, Vol 27, Iss 1 (2024)
Despite recent studies establishing self-compassion and secure attachment to be vital protective factors against suicidality, the role of attachment as a psychological mechanism that may mediate the relationship between self-compassion and suicidalit
Externí odkaz:
https://doaj.org/article/a7cfe8f145d445d186d8a794941fddba
Akademický článek
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Autor:
Maria Elena Stefanou, Neil M. Dundon, Patricia E. G. Bestelmeyer, Monica Biscaldi, Nikolaos Smyrnis, Christoph Klein
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
BackgroundDeficits in Multisensory Integration (MSI) in ASD have been reported repeatedly and have been suggested to be caused by altered long-range connectivity. Here we investigate behavioral and ERP correlates of MSI in ASD using ecologically vali
Externí odkaz:
https://doaj.org/article/f142882434bb44f2be9a3b4ce31ffc85
We study a new family of inverse problems for recovering representations of corrupted data. We assume access to a pre-trained representation learning network R(x) that operates on clean images, like CLIP. The problem is to recover the representation
Externí odkaz:
http://arxiv.org/abs/2110.07439
Autor:
Athanasia Zlatintsi, Panagiotis P. Filntisis, Niki Efthymiou, Christos Garoufis, George Retsinas, Thomas Sounapoglou, Ilias Maglogiannis, Panayiotis Tsanakas, Nikolaos Smyrnis, Petros Maragos
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 641-651 (2024)
This paper presents an overview of the e-Prevention: Person Identification and Relapse Detection Challenge, which was an open call for researchers at ICASSP-2023. The challenge aimed at the analysis and processing of long-term continuous recordings o
Externí odkaz:
https://doaj.org/article/ac7f0b06f1a045adb26b40e7f8ddba4a
Autor:
Kostas Siarkos, Efstratios Karavasilis, Georgios Velonakis, Charalabos Papageorgiou, Nikolaos Smyrnis, Nikolaos Kelekis, Antonios Politis
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract We investigated the potential of machine learning for diagnostic classification in late-life major depression based on an advanced whole brain white matter segmentation framework. Twenty-six late-life depression and 12 never depressed indivi
Externí odkaz:
https://doaj.org/article/0e0d90a8b7f84b9fb073cd892a34ae3f