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Talks & Seminars
Title: Advances in the Trinity of AI: Data, Algorithms & Compute
Prof. Anima Anandkumar, Caltech and NVIDIA
Date & Time: December 14, 2018 15:00
Venue: Department of Computer Science and Engineering, Room no. 109, 01st Floor, New CSE/CC Building
Abstract:
AI at scale requires a perfect mix of data, algorithms and compute. Modern deep learning requires large amounts of training data. We develop methods that improve data collection, aggregation and semi-supervised learning. This involves active learning, partial feedback, crowdsourcing, and deep generative models. To scale up machine learning for distributed training, we employ drastic gradient quantization and show that it can still achieve the same accuracy as full precision training. We achieve a high degree of neural network compression by extending matrix computational layers to higher dimensions using tensor algebraic techniques. We also develop user friendly software frameworks like Tensorly that makes it easier to define and deploy tensorized neural networks.
Speaker Profile:
Anima Anandkumar is a Bren professor at Caltech CMS department and a director of machine learning research at NVIDIA. Her research spans both theoretical and practical aspects of large-scale machine learning. In particular, she has spearheaded research in tensor-algebraic methods, non-convex optimization, probabilistic models and deep learning. Anima is the recipient of several awards and honors such as the Bren named chair professorship at Caltech, Alfred. P. Sloan Fellowship, Young investigator awards from the Air Force and Army research offices, Faculty fellowships from Microsoft, Google and Adobe, and several best paper awards. She was recently nominated to the World Economic Forum's Expert Network consisting of leading experts from academia, business, government, and the media. She has been featured in documentaries by PBS, KPCC, wired magazine, and in articles by MIT Technology review, Forbes, Yourstory, O’Reilly media, and so on. Anima received her B. Tech. in Electrical Engineering from IIT Madras in 2004 and her Ph. D. from Cornell University in 2009. She was a postdoctoral researcher at MIT from 2009 to 2010, a visiting researcher at Microsoft Research New England in 2012 and 2014, an assistant professor at U.C. Irvine between 2010 and 2016, an associate professor at U.C. Irvine between 2016 and 2017 and a principal scientist at Amazon Web Services between 2016 and 2018.
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