Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Brew, Anthony"'
Current state-of-the-art approaches to text classification typically leverage BERT-style Transformer models with a softmax classifier, jointly fine-tuned to predict class labels of a target task. In this paper, we instead propose an alternative train
Externí odkaz:
http://arxiv.org/abs/2212.00086
Autor:
Halder, Kishaloy, Krapac, Josip, Goryunov, Dmitry, Brew, Anthony, Lyra, Matti, Dizdari, Alsida, Gillett, William, Renahy, Adrien, Tang, Sinan
Ensuring safety of the products offered to the customers is of paramount importance to any e- commerce platform. Despite stringent quality and safety checking of products listed on these platforms, occasionally customers might receive a product that
Externí odkaz:
http://arxiv.org/abs/2210.14363
Active learning is useful in situations where labeled data is scarce, unlabeled data is available, and labeling a large number of examples is costly or impractical. These techniques help by identifying a minimal set of examples to label that will sup
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1061::36397ee8cc98c40f1d3ebe5ae9ccd039
Speaker verification is a challenging problem in speaker recognition where the objective is to determine whether a segment of speech in fact comes from a specific individual. In supervised machine learning terms this is a challenging problem as, whil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1061::3f00b6fd6c3a438b8d16bad86d20e8e2
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
2011 IEEE 11th International Conference on Data Mining Workshops (ICDMW); 2011, p53-60, 8p
Publikováno v:
Artificial Intelligence & Cognitive Science; 2010, p285-286, 2p