Theories of conversation for conversational IR
Multi-domain Task-oriented Dialog Challenge II
Deep Learning Group
The Deep Learning group advances the state-of-the-art in deep learning to achieve general intelligence. We develop algorithms, models, and systems in deep supervised and unsupervised learning, deep reinforcement learning, and neural-symbolic reasoning, and then pursue breakthroughs in computer vision,…
Exploring Massively Multilingual, Massive Neural Machine Translation
We will be giving an overview of the recent efforts towards universal translation at Google Research. From training a single translation model for 100+ languages to scaling neural networks beyond 80 billion parameters with 1000…
Faculty Summit 2016: Hot Topics
Generating Natural Questions About an Image CryptoNets: Machine Learning Inference on Encrypted Data Everest: Deploying Verified-Secure Implementations in the HTTPS Ecosystem Molecular Programming
Microsoft Scheduler and dawn of Intelligent PDAs with Dr. Pamela Bhattacharya
In a world where productivity is paramount and only a handful of people have personal assistants, many of us are frustrated by the amount of time we spend in meetings, and worse, the amount time…