Zobrazeno 1 - 10
of 10 124
pro vyhledávání: '"Wertheimer, A"'
Autor:
Bhattacharjee, Bishwaranjan, Trivedi, Aashka, Muraoka, Masayasu, Ramasubramanian, Muthukumaran, Udagawa, Takuma, Gurung, Iksha, Pantha, Nishan, Zhang, Rong, Dandala, Bharath, Ramachandran, Rahul, Maskey, Manil, Bugbee, Kaylin, Little, Mike, Fancher, Elizabeth, Gerasimov, Irina, Mehrabian, Armin, Sanders, Lauren, Costes, Sylvain, Blanco-Cuaresma, Sergi, Lockhart, Kelly, Allen, Thomas, Grezes, Felix, Ansdell, Megan, Accomazzi, Alberto, El-Kurdi, Yousef, Wertheimer, Davis, Pfitzmann, Birgit, Ramis, Cesar Berrospi, Dolfi, Michele, de Lima, Rafael Teixeira, Vagenas, Panagiotis, Mukkavilli, S. Karthik, Staar, Peter, Vahidinia, Sanaz, McGranaghan, Ryan, Lee, Tsendgar
Large language models (LLMs) trained on general domain corpora showed remarkable results on natural language processing (NLP) tasks. However, previous research demonstrated LLMs trained using domain-focused corpora perform better on specialized tasks
Externí odkaz:
http://arxiv.org/abs/2405.10725
Autor:
Wertheimer, Davis, Rosenkranz, Joshua, Parnell, Thomas, Suneja, Sahil, Ranganathan, Pavithra, Ganti, Raghu, Srivatsa, Mudhakar
This technical report describes the design and training of novel speculative decoding draft models, for accelerating the inference speeds of large language models in a production environment. By conditioning draft predictions on both context vectors
Externí odkaz:
http://arxiv.org/abs/2404.19124
Autor:
Wang, Tianshi, Li, Jinyang, Wang, Ruijie, Kara, Denizhan, Liu, Shengzhong, Wertheimer, Davis, Viros-i-Martin, Antoni, Ganti, Raghu, Srivatsa, Mudhakar, Abdelzaher, Tarek
This paper introduces SudokuSens, a generative framework for automated generation of training data in machine-learning-based Internet-of-Things (IoT) applications, such that the generated synthetic data mimic experimental configurations not encounter
Externí odkaz:
http://arxiv.org/abs/2402.02275
Autor:
Anna Hillenmayer, Christian M. Wertheimer, Marlene Hillenmayer, Laura D. Strehle, Lennart M. Hartmann, Efstathios Vounotrypidis, Armin Wolf
Publikováno v:
BMC Ophthalmology, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background/aims Submacular haemorrhages (SMH) cause significant visual impairment. Until now, the comparative effectiveness of different treatment approaches remains inconclusive without clear treatment guidelines. The aim of our study was t
Externí odkaz:
https://doaj.org/article/09d7e18b950d44f8960841d79b4dc473
Autor:
Avital Wertheimer, Onit Sapir, Alyssa Hochberg, Avi Ben-Haroush, Eran Altman, Tzippy Shochat, Eran Hadar, Yoel Shufaro
Publikováno v:
BMC Pregnancy and Childbirth, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background With the advancement in embryology and the introduction of time-lapse monitoring system, the embryologists' goal might be to find not only the embryo with the highest probability of live birth, but also the embryo with the highest
Externí odkaz:
https://doaj.org/article/f38efad4f31e40388d7d9c9c41fae0f2
Publikováno v:
Frontiers in Global Women's Health, Vol 5 (2024)
BackgroundEndometriosis, impacting roughly 10% of reproductive-age women and girls globally, presents diagnostic challenges that can cause significant delays between symptom onset and medical confirmation. The aim of the current study was to explore
Externí odkaz:
https://doaj.org/article/e795226e18394610ac9daca64ced16b8
Publikováno v:
INNOVATIONS in Pharmacy, Vol 15, Iss 4 (2024)
Biosimilars are safe and effective treatments for chronic diseases such as cancer and rheumatoid arthritis. The Saudi Food and Drug Authority (SFDA) manages the quality and registration of biosimilars in the Kingdom of Saudi Arabia. However, disparit
Externí odkaz:
https://doaj.org/article/af6d5b3fe8d5497c9188305c6d97293e
Publikováno v:
Letras de Hoje, Vol 39, Iss 1, Pp 229-246 (2004)
Externí odkaz:
https://doaj.org/article/7c08a4845ed145eebb8be580eb2efb4a
Few-shot recognition involves training an image classifier to distinguish novel concepts at test time using few examples (shot). Existing approaches generally assume that the shot number at test time is known in advance. This is not realistic, and th
Externí odkaz:
http://arxiv.org/abs/2207.03398
Deep neural network models have been very successfully applied to Natural Language Processing (NLP) and Image based tasks. Their application to network analysis and management tasks is just recently being pursued. Our interest is in producing deep mo
Externí odkaz:
http://arxiv.org/abs/2206.10472