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pro vyhledávání: '"Wick, Michael L."'
It's been said that "Language Models are Unsupervised Multitask Learners." Indeed, self-supervised language models trained on "positive" examples of English text generalize in desirable ways to many natural language tasks. But if such models can stra
Externí odkaz:
http://arxiv.org/abs/2010.11855
Autor:
Tristan, Jean-Baptiste, Tassarotti, Joseph, Vajjha, Koundinya, Wick, Michael L., Banerjee, Anindya
As machine learning is increasingly used in essential systems, it is important to reduce or eliminate the incidence of serious bugs. A growing body of research has developed machine learning algorithms with formal guarantees about performance, robust
Externí odkaz:
http://arxiv.org/abs/2007.06776
Humans perceive their surroundings in great detail even though most of our visual field is reduced to low-fidelity color-deprived (e.g. dichromatic) input by the retina. In contrast, most deep learning architectures are computationally wasteful in th
Externí odkaz:
http://arxiv.org/abs/1604.04125
Probabilistic databases play a preeminent role in the processing and management of uncertain data. Recently, many database research efforts have integrated probabilistic models into databases to support tasks such as information extraction and labeli
Externí odkaz:
http://arxiv.org/abs/1508.03116
Autor:
Wang, Daisy Zhe, Franklin, Michael J., Garofalakis, Minos, Hellerstein, Joseph M., Wick, Michael L.
Publikováno v:
Proceedings of the 2011 International Conference: Management of Data; 6/12/2011, p517-528, 12p
Publikováno v:
Proceeding of the 14th ACM SIGKDD International Conference: Knowledge Discovery & Data Mining; 8/24/2008, p722-730, 9p