Microsoft Research Lab – Redmond
News & features
CausalCity: Introducing a high-fidelity simulation with agency for advancing causal reasoning in machine learning
| Daniel McDuff, Yale Song, Sai Vemprala, Vibhav Vineet, Shuang Ma, and Ashish Kapoor
The ability to reason about causality, and ask “what would happen if…?’’ is one property that sets human intelligence apart from artificial intelligence. Modern AI algorithms perform well on clearly defined pattern recognition tasks but fall short generalizing in the…
Awards | PLDI 2021 Conference
Ben Zorn awarded SIGPLAN Distinguished Service Award 2021
Ben Zorn was honored with the SIGPLAN Distinguished Service Award 2021 (opens in new tab) having served the programming language community for many years and in many capacities. He also has mentored many of his work colleagues and visiting students/professors…
In the news | BigThink
Will AI replace mathematicians?
If computers can beat us at chess, maybe they could beat us at math, too. Most everyone fears that they will be replaced by robots or AI someday. A field like mathematics, which is governed solely by rules that computers…
In the news | Nature
Mathematicians welcome computer-assisted proof in ‘grand unification’ theory
Proof-assistant software handles an abstract concept at the cutting edge of research, revealing a bigger role for software in mathematics. Peter Scholze wants to rebuild much of modern mathematics, starting from one of its cornerstones. Now, he has received validation…
SOLOIST: Pairing transfer learning and machine teaching to advance task bots at scale
| Baolin Peng, Chunyuan Li, Jinchao Li, Lars Liden, and Jianfeng Gao
The increasing use of personal assistants and messaging applications has spurred interest in building task-oriented dialog systems (or task bots) that can communicate with users through natural language to accomplish a wide range of tasks, such as restaurant booking, weather…
How can generative adversarial networks learn real-life distributions easily
| Zeyuan Allen-Zhu and Yuanzhi Li
A Generative adversarial network, or GAN, is one of the most powerful machine learning models proposed by Goodfellow et al. (opens in new tab) for learning to generate samples from complicated real-world distributions. GANs have sparked millions of applications, ranging…
Awards | A Taxonomy of Sounds in Virtual Reality
Best Paper, ACM Designing Interactive Systems (DIS2021)
In the news | Microsoft Research Website
Dhruv “DJ” Jain awarded 2021 Microsoft Research Dissertation Grant
Dhruv “DJ” Jain (opens in new tab), an intern alumni of the Microsoft Research Ability group, has been named a recipient of the 2021 Microsoft Research Dissertation Grant for his dissertation titled “Sound Sensing and Feedback Techniques for Deaf and…
Microsoft and NVIDIA introduce parameter-efficient multimodal transformers for video representation learning
| Yale Song
Understanding video is one of the most challenging problems in AI, and an important underlying requirement is learning multimodal representations that capture information about objects, actions, sounds, and their long-range statistical dependencies from audio-visual signals. Recently, transformers have been successful in…