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pro vyhledávání: '"Khandagale, Sujay"'
Autor:
McElfresh, Duncan, Khandagale, Sujay, Valverde, Jonathan, C, Vishak Prasad, Feuer, Benjamin, Hegde, Chinmay, Ramakrishnan, Ganesh, Goldblum, Micah, White, Colin
Tabular data is one of the most commonly used types of data in machine learning. Despite recent advances in neural nets (NNs) for tabular data, there is still an active discussion on whether or not NNs generally outperform gradient-boosted decision t
Externí odkaz:
http://arxiv.org/abs/2305.02997
While other areas of machine learning have seen more and more automation, designing a high-performing recommender system still requires a high level of human effort. Furthermore, recent work has shown that modern recommender system algorithms do not
Externí odkaz:
http://arxiv.org/abs/2206.11886
As machine learning models grow more complex and their applications become more high-stakes, tools for explaining model predictions have become increasingly important. This has spurred a flurry of research in model explainability and has given rise t
Externí odkaz:
http://arxiv.org/abs/2106.12543
Extreme multi-label classification (XMC) refers to supervised multi-label learning involving hundreds of thousand or even millions of labels. In this paper, we develop a suite of algorithms, called Bonsai, which generalizes the notion of label repres
Externí odkaz:
http://arxiv.org/abs/1904.08249
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