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Snorkel MeTaL: Weak Supervision for Multi-Task Learning
Many real-world machine learning problems are challenging to tackle for two reasons: (i) they involve multiple sub-tasks at different levels of granularity; and (ii) they require large volumes of labeled training data. We propose Snorkel MeTaL, an end-to-end system for multi-task learning that lever...
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| Vydáno v: | Proc Second Workshop Data Manag End End Mach Learn (2018) |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2018
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6436830/ https://ncbi.nlm.nih.gov/pubmed/30931438 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1145/3209889.3209898 |
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