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Current (2013-2014): Research Scientist, Google.
Recent publications: (All publications)
Address: 1600 Amphitheatre Parkway Mountain View, CA 94043.
Past: PhD Student, AI Lab, Computer Science Department, Stanford University.
Advisor: Professor Andrew Ng.
Address: Room 110A, Gates Building, Stanford CA 94305.
Email: someone@somewhere where someone is quoc.leviet and somewhere is gmail.com
I did my undergraduate at ANU & NICTA (Canberra, Australia), under the supervision of Professor Alex Smola.
I was also a research visitor at Dept Schölkopf, Max Planck Institute for Biological Cybernetics (Tübingen, Germany).
Grounded Compositional Semantics for Finding and Describing Images with Sentences.
Transactions of the Association for Computational Linguistics (TACL 2013).
also at: Deep Learning Workshop at NIPS 2013. [PDF]
Exploiting Similarities among Languages for Machine Translation.
arXiv, 2013. [PDF], [Technology Review]
Learning the meaning behind words.
Google OpenSource Blogpost, 2013. [Link], [Popular press]
Fastfood — Approximating Kernel Expansions in Loglinear Time.
ICML, 2013. [PDF], [PDF with Supplementary]
On Rectified Linear Units for Speech Processing.
IEEE International Conference on Acoustic Speech and Signal Processing (ICASSP), 2013. [PDF]
Large Scale Distributed Deep Networks.
NIPS, 2012. [PDF], [Project page]
Building high-level features using large scale unsupervised learning..
ICML, 2012. [PDF], [Project page]
(Large scale deep learning simulations on 10000s of cores that lead to:
- Face and cat neurons from unlabeled data,
- State-of-the-art on ImageNet from raw pixels.)
Topics: Large-scale deep learning, computer vision.
Google Official Blog Post, Google Research G+ post
Press: New York Times (front page), NPR, BBC, the Atlantic, MSNBC, the Economist, Times and many others
Slides: [hour-long talk], [20-minute talk].
Deep Learning and Unsupervised Feature Learning, NIPS'2012.
Challenges in Learning Hierarchical Models: Transfer Learning and Optimization.