Zobrazeno 1 - 10
of 4 226
pro vyhledávání: '"A Marouf"'
Autor:
Laria, Héctor, Gomez-Villa, Alex, Marouf, Imad Eddine, Wang, Kai, Raducanu, Bogdan, van de Weijer, Joost
Recent advances in diffusion models have significantly enhanced image generation capabilities. However, customizing these models with new classes often leads to unintended consequences that compromise their reliability. We introduce the concept of op
Externí odkaz:
http://arxiv.org/abs/2410.14159
Autor:
Biner, Burak Can, Sofian, Farrin Marouf, Karakaş, Umur Berkay, Ceylan, Duygu, Erdem, Erkut, Erdem, Aykut
We are witnessing a revolution in conditional image synthesis with the recent success of large scale text-to-image generation methods. This success also opens up new opportunities in controlling the generation and editing process using multi-modal in
Externí odkaz:
http://arxiv.org/abs/2405.00878
In this work, we study the problem of continual learning (CL) where the goal is to learn a model on a sequence of tasks, such that the data from the previous tasks becomes unavailable while learning on the current task data. CL is essentially a balan
Externí odkaz:
http://arxiv.org/abs/2312.08977
Publikováno v:
Columbia Law Review, 2024 Mar 01. 124(2), 43-66.
Externí odkaz:
https://www.jstor.org/stable/27305118
Vision Transformers (ViTs) have become one of the dominant architectures in computer vision, and pre-trained ViT models are commonly adapted to new tasks via fine-tuning. Recent works proposed several parameter-efficient transfer learning methods, su
Externí odkaz:
http://arxiv.org/abs/2311.03873
The study described in this paper was conducted as part of the European Funded CleanSky2 project AFC4TR (Active Flow Control for Tilt-Rotor aircraft). High Fidelity numerical simulations were made to study various approaches of using Active Flow Cont
Externí odkaz:
http://arxiv.org/abs/2310.20023
Class-incremental learning (CIL) is a challenging task that involves sequentially learning to categorize classes from new tasks without forgetting previously learned information. The advent of large pre-trained models (PTMs) has fast-tracked the prog
Externí odkaz:
http://arxiv.org/abs/2310.11482
Grammatical Error Detection and Correction (GEC) tools have proven useful for native speakers and second language learners. Developing such tools requires a large amount of parallel, annotated data, which is unavailable for most languages. Synthetic
Externí odkaz:
http://arxiv.org/abs/2309.11346
Autor:
Elhadj Marouf Diallo, Fatoumata Bintou Traore, Alice Langlet, Letitia A. Onyango, Marie Blanquet, Bienvenu Salim Camara, Sidikiba Sidibe, Alioune Camara, Laurent Gerbaud
Publikováno v:
Health Economics Review, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Background Access to safe, financial affordable health care is a key factor in reducing health disparities. The malaria is a major public health issue, with significant economic implications in Guinea where the free malaria care services wer
Externí odkaz:
https://doaj.org/article/b182c2c3dca94e778604c92dd99d9eb1
Autor:
Junji Koya, Tomohiko Tanigawa, Kota Mizuno, Haryoon Kim, Yuta Ito, Mitsuhiro Yuasa, Kentaro Yamaguchi, Yasunori Kogure, Yuki Saito, Sumito Shingaki, Mariko Tabata, Koichi Murakami, Kenichi Chiba, Ai Okada, Yuichi Shiraishi, Amira Marouf, Raphaël Liévin, Sammara Chaubard, Arnaud Jaccard, Olivier Hermine, Laurence de Leval, Olivier Tournilhac, Gandhi Damaj, Philippe Gaulard, Lucile Couronné, Teruhito Yasui, Kazutaka Nakashima, Hiroaki Miyoshi, Koichi Ohshima, Keisuke Kataoka
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Extranodal NK/T-cell lymphoma (ENKTCL) is an Epstein-Barr virus (EBV)-related neoplasm preferentially involving the upper aerodigestive tract. Here we show that NK-cell-specific Trp53 disruption in mice leads to the development of NK-cell ly
Externí odkaz:
https://doaj.org/article/68fc246b7ff6480fbf1db57d7aa345f7