Sujith Ravi
Senior Staff Research Scientist and Senior Manager, Google AI

Sujith Ravi is a senior staff research scientist and senior manager at Google AI, where he leads the company’s large-scale graph-based machine learning platform and on-device machine learning efforts for products used by millions of people everyday in Search, Gmail, Photos, Android, and YouTube. These technologies power features like Smart Reply, image search, on-device predictions in Android, and platforms like Neural Structured Learning and Learn2Compress. Sujith has authored over 90 scientific publications and patents in top-tier machine learning and natural language processing conferences, and his work won the SIGDIAL Best Paper Award in 2019 and ACM SIGKDD Best Research Paper Award in 2014. His work has been featured in Wired, Forbes, Forrester, New York Times, TechCrunch, VentureBeat, Engadget, New Scientist, among others, and he’s a mentor for Google Launchpad startups. Sujith was the cochair (AI and deep learning) for the 2019 National Academy of Engineering (NAE) Frontiers of Engineering symposium. He was the cochair for ICML 2019, NAACL 2019, and NeurIPS 2018 ML workshops and regularly serves as senior/area chair and PC of top-tier machine learning and natural language processing conferences.

Sessions

4:10pm–4:50pm Thursday, October 31, 2019

Location: Great American Ballroom J/K

Neural structured learning in TensorFlow

Core technologies

Da-Cheng Juan (Google Research), Sujith Ravi (Google AI)

Average rating:

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Da-Cheng Juan and Sujith Ravi explain neural structured learning (NSL), an easy-to-use TensorFlow framework that both novice and advanced developers can use for training neural networks with structured signals. Read more.