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Training Complex Models with Multi-Task Weak Supervision

As machine learning models continue to increase in complexity, collecting large hand-labeled training sets has become one of the biggest roadblocks in practice. Instead, weaker forms of supervision that provide noisier but cheaper labels are often used. However, these weak supervision sources have d...

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Bibliografiset tiedot
Julkaisussa:Proc AAAI Conf Artif Intell
Päätekijät: Ratner, Alexander, Hancock, Braden, Dunnmon, Jared, Sala, Frederic, Pandey, Shreyash, Ré, Christopher
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2019
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC6765366/
https://ncbi.nlm.nih.gov/pubmed/31565535
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1609/aaai.v33i01.33014763
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