In this post, we introduce how to use transfer learning to address label noise for large-scale image classification tasks. We’ll avoid describing the approach using too much math. If you are interested in the deeper theory behind this approach, please refer to our paper, “CleanNet:…
A pair of groundbreaking papers in computer vision open new vistas on possibilities in the realms of creating very real-looking natural images and synthesizing realistic, identity-preserving facial images. In CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training, presented this past October at ICCV 2017 in Venice,…
At SIGMOD 2018, a team from Microsoft Research will be presenting a new embedded key-value store called FASTER, described in their paper “FASTER: A Concurrent Key-Value Store with In-Place Updates”. As its name suggests, FASTER makes a major leap forward in terms of supporting fast…
“Growing up, my mom was a programmer with a computer science degree at a time when there was no computer science department in Romania,” remembers Microsoft senior researcher Stefan Saroiu with a smile that is palpable over the telephone. As a child in late 1970s…
Ten years ago, while writing a physics engine, I learned about the Barnes-Hut algorithm for the gravitational n-body problem. Normally, computing the Newtonian gravitational forces between n bodies requires evaluations of Newton's law of universal gravitation, as every body exerts a force on every other…
Machine translation has become a crucial component in the advancing of global communication. Millions of people are using online translation systems and mobile applications to communicate across language barriers. Machine translation has made rapid advances in recent years with the deep learning wave. Microsoft Research…
For most of us, a call to emergency services is a rare act, or one thankfully that we’ve never had to take. Anyone having had to make that call often will, in a calmer future moment, reflect on what transpired during it – the quality…
Microsoft Research further bolsters its research force this month, welcoming Landon Cox to the Mobility and Networking Group as Senior Researcher.
Introduction Speech technology has come a long way since Alexander Graham Bell's famous Mr. Watson – Come here – I want to see you became the first speech to be heard over the telephone in 1876. Today, speech technology has moved into realms such as…
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 solve new tasks. They do this with task-specific, additive shifts…
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 released neural machine translation (NMT) in 2016. NMT provided major…
Over the last five years, deep learning-based methods have revolutionised a wide range of applications, for example those requiring understanding of pictures, speech and natural language. For computer scientists, a naturally arising question is whether computers learn to understand source code? It appears to be…
Meet our community of researchers, learn about exciting research topics, and grow your network
Ongoing conversations at the cutting edge of research
Join us for a continuous exchange of ideas about research in the era of general AI
