Connecting Vision and Language via Interpretation, Grounding and Imagination
Understanding how to model vision and language jointly is a long-standing challenge in artificial intelligence. Vision is one of the primary sensors we use to perceive the world, while language is our data structure to…
Rapid Adaptation and Metalearning with Conditionally Shifted Neurons
The Machine Comprehension team at MSR-Montreal recently developed a neural mechanism for metalearning that we call conditionally shifted neurons. Conditionally shifted neurons (CSNs) adapt their activation values rapidly to new data to help neural networks…
Accessibility in the AI Frontier
In the past few years, accessibility has increasingly become a focus of interest in the realm of technology. This is no more true than with the modern developments of AI Technology. However, with AI technology…
Found in Translation: Achieving Human Parity on Chinese to English News Translation
Machine translation has made rapid advances in recent years. In this talk we describe recent advances of Microsoft’s machine translation system using Neural Machine Translation that lead to achieving a new state-of-the-art, and achieving human…
Customized neural machine translation with Microsoft Translator
Released in preview this week at Build 2018, the new Microsoft Translator custom feature lets users customize neural machine translation systems. These customizations can be applied to both text and speech translation workflows. Microsoft Translator…