Working at Microsoft Research Cambridge
Here at Microsoft Research in Cambridge, we truly aspire to transform the world through deep research. Watch the video to find out more about our culture, ambition and research themes. Find out more at: https://aka.ms/MSRCambridge
Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model (NeurIPS 2019)
In this paper we address the ice-start problem, i.e., the challenge of deploying machine learning models when only little or no training data is initially available, and acquiring each feature element of data is associated…
A Machine Learning Perspective on Managing Noisy Structured Data
Modern analytics depend on high-effort tasks like data preparation and data cleaning to produce accurate results. This talk describes recent work on making routine data preparation tasks such as data cleaning dramatically easier. I will…
Machine teaching, LUIS and the democratization of custom AI with Dr. Riham Mansour
Machine learning is a powerful tool that enables conversational agents to provide general question-answer services. But in domains with more specific taxonomies – or simply for requests that are longer and more complicated than “Play…
The 1st Workshop on Hot Topics in Video Analytics and Intelligent Edges
Cameras are everywhere! Analyzing live videos from these cameras has great potential to impact science and society. Enterprise cameras are deployed for a wide variety of commercial and security reasons. Consumer devices themselves have cameras with users…