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pro vyhledávání: '"Esposito, Piero"'
State-of-the-art generative text-to-image models are known to exhibit social biases and over-represent certain groups like people of perceived lighter skin tones and men in their outcomes. In this work, we propose a method to mitigate such biases and
Externí odkaz:
http://arxiv.org/abs/2310.06904
Autor:
Larcher, Celio, Piau, Marcos, Finardi, Paulo, Gengo, Pedro, Esposito, Piero, Caridá, Vinicius
The strategy of training the model from scratch in a specific language or domain serves two essential purposes: i) enhancing performance in the particular linguistic or domain context, and ii) ensuring effective tokenization. The main limitation inhe
Externí odkaz:
http://arxiv.org/abs/2308.11878
Autor:
Esposito, Piero, Scicchitano, Sergio
Publikováno v:
In Structural Change and Economic Dynamics June 2022 61:138-155
Autor:
Collignon, Stefan, Esposito, Piero
Publikováno v:
In Journal of Policy Modeling May-June 2021 43(3):673-691
Autor:
Esposito, Piero, Ferrante, Francesco
Publikováno v:
Economia Politica; October 2024, Vol. 41 Issue: 3 p739-769, 31p
In this book, the authors explore the psychological implications, social expectations and role of sexuality in marriage today. Topics presented from across the globe include the nature of the sexual relationship in marriage and during transition to p
Publikováno v:
In Economic Modelling January 2020 84:249-258
Autor:
Esposito, Piero, Messori, Marcello
Publikováno v:
In North American Journal of Economics and Finance January 2019 47:147-167
Akademický článek
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Publikováno v:
In Economic Modelling April 2018 71:80-86