Zobrazeno 1 - 10
of 47 049
pro vyhledávání: '"Abdelaziz, A. A."'
Autor:
Safa, Omar M., Abdelaziz, Mahmoud M., Eltawy, Mustafa, Mamdouh, Mohamed, Gharib, Moamen, Eltenihy, Salaheldin, Ghanem, Nagia M., Ismail, Mohamed M.
Machine Unlearning has emerged as a critical area in artificial intelligence, addressing the need to selectively remove learned data from machine learning models in response to data privacy regulations. This paper provides a comprehensive comparative
Externí odkaz:
http://arxiv.org/abs/2412.19583
Autor:
Kim, Yunsu, Abdelaziz, AhmedElmogtaba, Ferreira, Thiago Castro, Al-Badrashiny, Mohamed, Sawaf, Hassan
As the demand for artificial intelligence (AI) grows to address complex real-world tasks, single models are often insufficient, requiring the integration of multiple models into pipelines. This paper introduces Bel Esprit, a conversational agent desi
Externí odkaz:
http://arxiv.org/abs/2412.14684
Autor:
Ognjen, Rudovic, Dighe, Pranay, Su, Yi, Garg, Vineet, Dharur, Sameer, Niu, Xiaochuan, Abdelaziz, Ahmed H., Adya, Saurabh, Tewfik, Ahmed
Follow-up conversations with virtual assistants (VAs) enable a user to seamlessly interact with a VA without the need to repeatedly invoke it using a keyword (after the first query). Therefore, accurate Device-directed Speech Detection (DDSD) from th
Externí odkaz:
http://arxiv.org/abs/2411.00023
Autor:
Maniparambil, Mayug, Akshulakov, Raiymbek, Djilali, Yasser Abdelaziz Dahou, Narayan, Sanath, Singh, Ankit, O'Connor, Noel E.
Recent contrastive multimodal vision-language models like CLIP have demonstrated robust open-world semantic understanding, becoming the standard image backbones for vision-language applications due to their aligned latent space. However, this practic
Externí odkaz:
http://arxiv.org/abs/2409.19425
Autor:
Aldeneh, Zakaria, Higuchi, Takuya, Jung, Jee-weon, Chen, Li-Wei, Shum, Stephen, Abdelaziz, Ahmed Hussen, Watanabe, Shinji, Likhomanenko, Tatiana, Theobald, Barry-John
Iterative self-training, or iterative pseudo-labeling (IPL)--using an improved model from the current iteration to provide pseudo-labels for the next iteration--has proven to be a powerful approach to enhance the quality of speaker representations. R
Externí odkaz:
http://arxiv.org/abs/2409.10791
Autor:
Chen, Li-Wei, Higuchi, Takuya, Bai, He, Abdelaziz, Ahmed Hussen, Rudnicky, Alexander, Watanabe, Shinji, Likhomanenko, Tatiana, Theobald, Barry-John, Aldeneh, Zakaria
Speech foundation models, such as HuBERT and its variants, are pre-trained on large amounts of unlabeled speech for various downstream tasks. These models use a masked prediction objective, where the model learns to predict information about masked i
Externí odkaz:
http://arxiv.org/abs/2409.10788
Autor:
Rahmani, Anis, Mennouni, Abdelaziz
This research presents a model that accurately represents the motions of gaseous stars We employ the Navier-Stokes-Poisson system to transform compressible Euler equations into non-compressible ones by combining quasineutral and inviscid conditions.
Externí odkaz:
http://arxiv.org/abs/2409.17152
Autor:
Rahmani, Anis, Mennouni, Abdelaziz
This work investigates the existence and uniqueness of local weak solutions for the d-dimensional $(d \geq 2)$ fractional magnetic B\'enard system without thermal diffusion, integrating the B\'enard equation and MHD system. For $\kappa = 0$ and $1 \l
Externí odkaz:
http://arxiv.org/abs/2409.17151
Autor:
Basu, Kinjal, Abdelaziz, Ibrahim, Bradford, Kelsey, Crouse, Maxwell, Kate, Kiran, Kumaravel, Sadhana, Goyal, Saurabh, Munawar, Asim, Rizk, Yara, Wang, Xin, Lastras, Luis, Kapanipathi, Pavan
Autonomous agent applications powered by large language models (LLMs) have recently risen to prominence as effective tools for addressing complex real-world tasks. At their core, agentic workflows rely on LLMs to plan and execute the use of tools and
Externí odkaz:
http://arxiv.org/abs/2409.03797
Publikováno v:
ICSEA 2018, Luigi Lavazza; Roy Oberhauser; Radek Koci, Oct 2018, Nice, France
The automated and timely conversion of cybersecurity information from unstructured online sources, such as blogs and articles to more formal representations has become a necessity for many applications in the domain nowadays. Named Entity Recognition
Externí odkaz:
http://arxiv.org/abs/2409.10521