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pro vyhledávání: '"Piñar A"'
Training deep learning models is a repetitive and resource-intensive process. Data scientists often train several models before landing on set of parameters (e.g., hyper-parameter tuning), model architecture (e.g., neural architecture search), among
Externí odkaz:
http://arxiv.org/abs/2409.18749
This paper considers the minimization of a continuously differentiable function over a cardinality constraint. We focus on smooth and relatively smooth functions. These smoothness criteria result in new descent lemmas. Based on the new descent lemmas
Externí odkaz:
http://arxiv.org/abs/2409.12343
Autor:
Özdemir, Övgü, İşyapar, M. Tuğberk, Karagöz, Pınar, Schmidt, Klaus Werner, Demir, Demet, Karagöz, N. Alpay
Modern vehicles are equipped with Electronic Control Units (ECU) that are used for controlling important vehicle functions including safety-critical operations. ECUs exchange information via in-vehicle communication buses, of which the Controller Are
Externí odkaz:
http://arxiv.org/abs/2409.07505
Autor:
Ghasemlou, Shervin, Katiyar, Ashish, Saraf, Aparajita, Moon, Seungwhan, Pujari, Mangesh, Donmez, Pinar, Damavandi, Babak, Kumar, Anuj
In this paper, we investigate the problem of "generation supervision" in large language models, and present a novel bicameral architecture to separate supervision signals from their core capability, helpfulness. Doppelg\"anger, a new module parallel
Externí odkaz:
http://arxiv.org/abs/2409.06107
In therapeutic focused ultrasound (FUS), such as thermal ablation and hyperthermia, effective acousto-thermal manipulation requires precise targeting of complex geometries, sound wave propagation through irregular structures and selective focusing at
Externí odkaz:
http://arxiv.org/abs/2409.01323
Autor:
Ravva, Pavan Uttej, Kiafar, Behdokht, Kullu, Pinar, Li, Jicheng, Bhat, Anjana, Barmaki, Roghayeh Leila
Autism spectrum disorder (ASD) is characterized by significant challenges in social interaction and comprehending communication signals. Recently, therapeutic interventions for ASD have increasingly utilized Deep learning powered-computer vision tech
Externí odkaz:
http://arxiv.org/abs/2408.15077
Autor:
Yılmaz, Fatma K., Ketenci, Pınar G.
Publikováno v:
African Journal of Reproductive Health / La Revue Africaine de la Santé Reproductive, 2024 Aug 01. 28(8), 89-98.
Externí odkaz:
https://www.jstor.org/stable/27325740
Autor:
Schwöbel, Pola, Franceschi, Luca, Zafar, Muhammad Bilal, Vasist, Keerthan, Malhotra, Aman, Shenhar, Tomer, Tailor, Pinal, Yilmaz, Pinar, Diamond, Michael, Donini, Michele
fmeval is an open source library to evaluate large language models (LLMs) in a range of tasks. It helps practitioners evaluate their model for task performance and along multiple responsible AI dimensions. This paper presents the library and exposes
Externí odkaz:
http://arxiv.org/abs/2407.12872
Autor:
Zheng, Matthew, Simsar, Enis, Yesiltepe, Hidir, Tombari, Federico, Simon, Joel, Yanardag, Pinar
Text-to-image models are becoming increasingly popular, revolutionizing the landscape of digital art creation by enabling highly detailed and creative visual content generation. These models have been widely employed across various domains, particula
Externí odkaz:
http://arxiv.org/abs/2406.14599
Autor:
Akdemir, Kiymet, Yanardag, Pinar
Text-to-image diffusion models have recently taken center stage as pivotal tools in promoting visual creativity across an array of domains such as comic book artistry, children's literature, game development, and web design. These models harness the
Externí odkaz:
http://arxiv.org/abs/2406.02820