TextWorld: A learning environment for training reinforcement learning agents, inspired by text-based games
| Wendy Tay, Adam Trischler, and Emery Fine
Today, fresh out of the Microsoft Research Montreal lab, comes an open-source project called TextWorld. TextWorld is an extensible Python framework for generating text-based games. Reinforcement learning researchers can use TextWorld to train and test AI agents in skills such…
Helping proteomics scientists share peptide data: Azure does the heavy lifting
| Vani Mandava
Scientific research breakthroughs are often achieved when many different scientists, in different labs and organizations, work together on a single task. That happened at the turn of the 21st century with the Human Genome Project, where human DNA was mapped…
In the news | Microsoft Research Blog
Helping proteomics scientists share peptide data: Azure does the heavy lifting
The Big Data Hubs are a National Science Foundation-sponsored effort that supplies cloud computing credits to large scientific projects, including Azure credits donated by Microsoft.
The story of an Office AI feature: How AI can promote efficient meeting preparation
Adam Troy had an idea. He was spending so much time searching through old emails and attachments to prepare for meetings: Could AI help him be better prepared for meetings? Could machine learning automatically identify the most relevant emails and…
In between the lines: Broadening access to web search by understanding the needs of people with dyslexia
People with dyslexia perceive the world in different ways when it comes to the arrangement of letters and words on paper – or, these days, on web pages. Indeed, so much of modern life and accessibility to the information that…
Adversarial and reinforcement learning-based approaches to information retrieval
| Bhaskar Mitra
Traditionally, machine learning based approaches to information retrieval have taken the form of supervised learning-to-rank models. Recent advances in other machine learning approaches—such as adversarial learning and reinforcement learning—should find interesting new applications in future retrieval systems. At Microsoft AI…
Awards | ACM SIGIR
Susan Dumais receives SIGIR 2018 Test of Time Award
Susan Dumais, a leading researcher at the intersection of information retrieval and human-computer interaction, and significant contributor to Microsoft’s search technologies, received the SIGIR 2018 (opens in new tab) Test of Time Award for the paper entitled Improving Web Search Ranking…
Awards | SIGIR 2018
Best Short Paper Award at SIGIR 2018
Best Short Paper Award for “Cross Domain Regularization for Neural Ranking Models Using Adversarial Learning” with Daniel Cohen, Katja Hofmann, and W. Bruce Croft, SIGIR 2018.
ICML Conference Analytics
The Microsoft Academic Graph makes it possible to gain analytic insights about any of the entities within it: publications, authors, institutions, topics, journals, and conferences. In this series, we present analytic insights about current conferences, which we hope will help you prepare for attending each event. All…