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To address the challenge posed by noise in real quantum devices, quantum error mitigation techniques play a crucial role. These techniques are resource-efficient, making them suitable for implementation in noisy intermediate-scale quantum devices, un
Externí odkaz:
http://arxiv.org/abs/2411.16653
Autor:
Fonollosa, Laia Garrobé, Gillespie, Douglas, Stankovic, Lina, Stankovic, Vladimir, Rendell, Luke
Passive acoustic monitoring (PAM) data is often weakly labelled, audited at the scale of detection presence or absence on timescales of minutes to hours. Moreover, this data exhibits great variability from one deployment to the next, due to differenc
Externí odkaz:
http://arxiv.org/abs/2410.17006
Publikováno v:
Ocular Immunology & Inflammation. May2024, Vol. 32 Issue 4, p437-439. 3p.
Data scarcity and the modality gap between the speech and text modalities are two major obstacles of end-to-end Speech Translation (ST) systems, thus hindering their performance. Prior work has attempted to mitigate these challenges by leveraging ext
Externí odkaz:
http://arxiv.org/abs/2402.10422
Autor:
Sonia Fournet-Pérot
Publikováno v:
Dirāsāt Hispānicas, Iss 4, Pp 269-280 (2017)
El éxito internacional de la serie Juego de Tronos —adaptación televisiva de las novelas de George R. R. Martin— inspiró en 2015 a José Fonollosa la elaboración de un cómic paródico titulado Parodia de Tronos. El autor va caricaturizando a
Externí odkaz:
https://doaj.org/article/d3cb4e3b339547ca88c842b7b8ccad87
Despite substantial progress in multilingual extractive Question Answering (QA), models with high and uniformly distributed performance across languages remain challenging, especially for languages with limited resources. We study cross-lingual trans
Externí odkaz:
http://arxiv.org/abs/2309.17134
This paper describes the submission of the UPC Machine Translation group to the IWSLT 2023 Offline Speech Translation task. Our Speech Translation systems utilize foundation models for speech (wav2vec 2.0) and text (mBART50). We incorporate a Siamese
Externí odkaz:
http://arxiv.org/abs/2306.01327
The widespread use of machine learning has raised the question of quantum supremacy for supervised learning as compared to quantum computational advantage. In fact, a recent work shows that computational and learning advantage are, in general, not eq
Externí odkaz:
http://arxiv.org/abs/2304.06687