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Sustainable self-supervised learning for speech representations

Sustainable artificial intelligence focuses on data, hardware, and algorithms to make machine learning models more environmentally responsible. In particular, machine learning models for speech representations are computationally expensive, generatin

Externí odkaz: http://arxiv.org/abs/2406.07696

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Efficiency-oriented approaches for self-supervised speech representation learning

Autor: Lugo, Luis, Vielzeuf, Valentin

Self-supervised learning enables the training of large neural models without the need for large, labeled datasets. It has been generating breakthroughs in several fields, including computer vision, natural language processing, biology, and speech. In

Externí odkaz: http://arxiv.org/abs/2312.11142

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Akademický článek

The design and delivery of out-of-school comprehensive sexuality education from the perspective of the young people it is intended to serve

Autor: Boborakhimov, Sharafdzhon, Mosisa, Helema Bekele, Demerew, Dagem, Narenjiha, Morvarid, Jiménez, Jesus Manuel Sanjuanelo, Lugo, Luis Eduardo Payares, Phiri, Ishmael, Duut, Fauzia, Addo, Priscilla Ama, Chavula, Prudence

Publikováno v: Sexual and Reproductive Health Matters, 2023 Dec 01. 31(2), 7-15.

Externí odkaz: https://www.jstor.org/stable/48749733

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Comparative study of different functionalized graphene-nanoplatelet aqueous nanofluids for solar energy applications

Autor: Vallejo, Javier P., Mercatelli, Luca, Martina, Maria Raffaella, Di Rosa, Daniele, Dell'Oro, Aldo, Lugo, Luis, Sani, Elisa

Publikováno v: Renewable Energy, vol. 141 (2019), pages 791-801

The optical properties of nanofluids are peculiar and interesting for a variety of applications. Among them, the high light extinction coefficient of nanofluids can be useful in linear parabolic concentrating solar systems, while their properties und

Externí odkaz: http://arxiv.org/abs/2206.02516

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