2329. Incidences and Characteristics of Influenza among Pregnant Women in Middle-Income Countries: Preliminary Results of the Pregnancy and Influenza Multinational Epidemiologic (PRIME) Study
Open Forum Infectious Diseases(2019)SCI 3区SCI 4区
Centers for Disease Control and Prevention | US Naval Medical Research Unit No. 6 | Queen Sirikit National Institute of Child Health | Lata Medical Research Foundation | Abt Associates | Thailand Ministry of Public Health—US Centers for Disease Control and Prevention Collaboration | Hospital Nacional Arzobispo Loayza | Instituto Nacional Materno Perinatal | Hospital Nacional Docente Madre Niño San Bartolomé | Hospital Nacional Dos de Mayo | Thailand MOPH - US CDC Collaboration | Abt Associates Inc. | Rollins School of Public Health | Dhruv Pathology and Molecular Diagnostic Lab | Dhruv Pathology and Molecular Diagnostics | Armed Forces Research Institute of Medical Sciences | US Centers for Disease Control and Prevention
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

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