Zobrazeno 1 - 10
of 99 471
pro vyhledávání: '"A Haider"'
Personalized Federated Learning (pFL) holds immense promise for tailoring machine learning models to individual users while preserving data privacy. However, achieving optimal performance in pFL often requires a careful balancing act between memory o
Externí odkaz:
http://arxiv.org/abs/2409.06805
Autor:
Soliman, Amr, Williams, C, Hopper, Richard, Udrea, Florin, Butt, Haider, Wilkinson, Timothy D.
Mid-infrared (MIR) spectroscopy is a powerful technique employed for a variety of applications, including gas sensing, industrial inspection, astronomy, surveillance, and imaging. Thin-film narrowband interference filters, targeted to specific absorp
Externí odkaz:
http://arxiv.org/abs/2409.05071
We conduct a comprehensive \textit{ab initio} investigation of electron-electron interactions within the pyrochlore structures of R$_2$Ru$_2$O$_7$, R$_2$Ir$_2$O$_7$, Ca$_2$Ru$_2$O$_7$, and Cd$_2$Ru$_2$O$_7$, where R denotes a rare-earth element. Util
Externí odkaz:
http://arxiv.org/abs/2409.01123
Autor:
Volponi, M., Zieliński, J., Rauschendorfer, T., Huck, S., Caravita, R., Auzins, M., Bergmann, B., Burian, P., Brusa, R. S., Camper, A., Castelli, F., Cerchiari, G., Ciuryło, R., Consolati, G., Doser, M., Eliaszuk, K., Giszczak, A., Glöggler, L. T., Graczykowski, Ł., Grosbart, M., Guatieri, F., Gusakova, N., Gustafsson, F., Haider, S., Janik, M. A., Januszek, T., Kasprowicz, G., Khatri, G., Kłosowski, Ł., Kornakov, G., Krumins, V., Lappo, L., Linek, A., Malamant, J., Mariazzi, S., Penasa, L., Petracek, V., Piwiński, M., Pospisil, S., Povolo, L., Prelz, F., Rangwala, S. A., Rawat, B. S., Rienäcker, B., Rodin, V., Røhne, O. M., Sandaker, H., Smolyanskiy, P., Sowiński, T., Tefelski, D., Vafeiadis, T., Welsch, C. P., Wolz, T., Zawada, M., Zurlo, N.
Publikováno v:
Rev. Sci. Instrum. 95, 085116 (2024)
Modern physics experiments are frequently very complex, relying on multiple simultaneous events to happen in order to obtain the desired result. The experiment control system plays a central role in orchestrating the measurement setup: However, its d
Externí odkaz:
http://arxiv.org/abs/2409.01058
Convolutional layers with 1-D filters are often used as frontend to encode audio signals. Unlike fixed time-frequency representations, they can adapt to the local characteristics of input data. However, 1-D filters on raw audio are hard to train and
Externí odkaz:
http://arxiv.org/abs/2408.17358
This paper introduces a novel training framework called Focused Discriminative Training (FDT) to further improve streaming word-piece end-to-end (E2E) automatic speech recognition (ASR) models trained using either CTC or an interpolation of CTC and a
Externí odkaz:
http://arxiv.org/abs/2408.13008
Autor:
Hamdani, Syed Jawwad Haider, Saifullah, Saifullah, Agne, Stefan, Dengel, Andreas, Ahmed, Sheraz
Obtaining annotated table structure data for complex tables is a challenging task due to the inherent diversity and complexity of real-world document layouts. The scarcity of publicly available datasets with comprehensive annotations for intricate ta
Externí odkaz:
http://arxiv.org/abs/2408.09800
Autor:
Xue, Yuyang, Yan, Junyu, Dutt, Raman, Haider, Fasih, Liu, Jingshuai, McDonagh, Steven, Tsaftaris, Sotirios A.
Developing models with robust group fairness properties is paramount, particularly in ethically sensitive domains such as medical diagnosis. Recent approaches to achieving fairness in machine learning require a substantial amount of training data and
Externí odkaz:
http://arxiv.org/abs/2408.06890
Autor:
Al-Tahan, Haider, Garrido, Quentin, Balestriero, Randall, Bouchacourt, Diane, Hazirbas, Caner, Ibrahim, Mark
Significant research efforts have been made to scale and improve vision-language model (VLM) training approaches. Yet, with an ever-growing number of benchmarks, researchers are tasked with the heavy burden of implementing each protocol, bearing a no
Externí odkaz:
http://arxiv.org/abs/2408.04810
Autor:
Raza, Haider, Ali, Mohsin, Singh, Vishal Krishna, Wahjuningrum, Agustin, Sarig, Rachel, Chaurasia, Akhilanand
Precise identification and detection of the Mental Foramen are crucial in dentistry, impacting procedures such as impacted tooth removal, cyst surgeries, and implants. Accurately identifying this anatomical feature facilitates post-surgery issues and
Externí odkaz:
http://arxiv.org/abs/2408.04763