Zobrazeno 1 - 10
of 3 956
pro vyhledávání: '"AlMansoori, A."'
Non-iid data is prevalent in real-world federated learning problems. Data heterogeneity can come in different types in terms of distribution shifts. In this work, we are interested in the heterogeneity that comes from concept shifts, i.e., shifts in
Externí odkaz:
http://arxiv.org/abs/2410.03497
Autor:
Alami, Reda, Almansoori, Ali Khalifa, Alzubaidi, Ahmed, Seddik, Mohamed El Amine, Farooq, Mugariya, Hacid, Hakim
We demonstrate that preference optimization methods can effectively enhance LLM safety. Applying various alignment techniques to the Falcon 11B model using safety datasets, we achieve a significant boost in global safety score (from $57.64\%$ to $99.
Externí odkaz:
http://arxiv.org/abs/2409.07772
The emerging task of fine-grained image classification in low-data regimes assumes the presence of low inter-class variance and large intra-class variation along with a highly limited amount of training samples per class. However, traditional ways of
Externí odkaz:
http://arxiv.org/abs/2406.19814
Autor:
Tripathi, Dhurba, Giommi, Paolo, Di Giovanni, Adriano, Almansoori, Rawdha R., Hamly, Nouf Al, Arneodo, Francesco, Macciò, Andrea V., Puccetti, Goffredo, de Almeida, Ulisses Barres, Brandt, Carlos, Di Pippo, Simonetta, Doro, Michele, Israyelyan, David, Pollock, Andrew M. T., Sahakyan, Narek
Firmamento (https://firmamento.hosting.nyu.edu) is a new-concept web-based and mobile-friendly data analysis tool dedicated to multi-frequency/multi-messenger emitters, as exemplified by blazars. Although initially intended to support a citizen resea
Externí odkaz:
http://arxiv.org/abs/2311.15102
Autor:
Tupitsa, Nazarii, Almansoori, Abdulla Jasem, Wu, Yanlin, Takáč, Martin, Nandakumar, Karthik, Horváth, Samuel, Gorbunov, Eduard
Robustness to Byzantine attacks is a necessity for various distributed training scenarios. When the training reduces to the process of solving a minimization problem, Byzantine robustness is relatively well-understood. However, other problem formulat
Externí odkaz:
http://arxiv.org/abs/2311.04611
Person search (PS) is a challenging computer vision problem where the objective is to achieve joint optimization for pedestrian detection and re-identification (ReID). Although previous advancements have shown promising performance in the field under
Externí odkaz:
http://arxiv.org/abs/2310.20706
Autor:
Alkaron, Wasan1,2,3 (AUTHOR) alaa.almansoori@ek.hun-ren.hu, Almansoori, Alaa1,3 (AUTHOR) balazsi.katalin@ek.hun-ren.hu, Balázsi, Katalin1 (AUTHOR), Balázsi, Csaba1 (AUTHOR) wasan.alkaron@ek.hun-ren.hu
Publikováno v:
Materials (1996-1944). Aug2024, Vol. 17 Issue 16, p4117. 22p.
Publikováno v:
Green Chemical Engineering, Vol 5, Iss 4, Pp 461-472 (2024)
Cooling water systems (CWSs) are extensively utilized in various industries to eliminate the excess heat and converse energy. Studies on CWSs mainly concentrated on finding the optimal cooler network structure. In addition, some works also considered
Externí odkaz:
https://doaj.org/article/aa2e7c96d8ab4ad5a85836509ec89bcd
Autor:
Beenish Sarfraz, Jean Tuyisabe, Louis De Montfort, Abdulrahman Ibrahim, Shamma Z. Abdulkreem Almansoori, Haya Alajami, Asma Almeqbaali, Biduth Kundu, Vishnu Sukumari Nath, Esam Eldin Saeed, Ajay Kumar Mishra, Khaled Michel Hazzouri, Raja Almaskari, Abhishek Kumar Sharma, Naganeeswaran Sudalaimuthuasari, Khaled M. A. Amiri
Publikováno v:
BMC Genomic Data, Vol 25, Iss 1, Pp 1-4 (2024)
Abstract Objectives Sabkhas represent polyextreme environments characterized by elevated salinity levels, intense ultraviolet (UV) radiation exposure, and extreme temperature fluctuations. In this study, we present the complete genomes of five bacter
Externí odkaz:
https://doaj.org/article/ad14854c64784da8ae9e35f37c0bd65e
Federated learning has become a popular machine learning paradigm with many potential real-life applications, including recommendation systems, the Internet of Things (IoT), healthcare, and self-driving cars. Though most current applications focus on
Externí odkaz:
http://arxiv.org/abs/2212.03836