Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Microsoft Research Blog
Microsoft Research 2018: 10 memorable blogs topping a year of open source and innovation
The year’s end is an opportunity to reflect on what was achieved and to resolve to aspire to even greater heights in the one that’s about to begin. Looking back on what was accomplished at…
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Deep Learning and Representation Learning
We are working on deep learning. We focus on developing new learning strategies and more efficient algorithms, designing better neural network structures, and improving representation learning. Efficient Deep Learning Xiang Li, Tao Qin, Jian Yang,…
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Neural Machine Translation
We are working on neural machine translation, using deep neural networks for machine translation. We achieved human parity in translating news from Chinese to English. Our Papers Xu Tan, Yi Ren, Di He, Tao Qin,…
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Learning to Teach and AutoML
Introduction to Learning to Teach AutoML, which aims to automate a machine learning system, has attract a lot of attention in research community and made a lot of noise in industry and media . Different…
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Dual Learning
Introduction to Dual Learning Many AI tasks are emerged in dual forms, e.g., English-to-French translation vs. French-to-English translation, speech recognition vs. text to speech, question answering vs. question generation, and image classification vs. image generation.…
Publication