December 6, 2018

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Infinia ML Increases Research Contributions to NeurIPS


Infinia ML, an advanced machine learning company that delivers transformative automation solutions and data science to enterprise businesses, is celebrating more accepted research papers at the world’s most prestigious machine learning conference.

The Conference on Neural Information Processing Systems (NeurIPS, formerly NIPS), which has been compared to the AI world’s version of SXSW and CES, accepted less than 21% of submitted papers in 2018.

One of the accepted works is a paper which was co-authored by Infinia ML Research Scientist Hongteng Xu. “Distilled Wasserstein Learning for Word Embedding and Topic Modeling,” proposes a machine learning method for hospital patient admission records that could help predict mortality and recommend procedures.

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[Originally posted by Benzinga — December 4, 2018]