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Overview
The Deep Learning group advances the state-of-the-art in deep learning to achieve general intelligence. We develop algorithms, models, and systems in deep supervised and unsupervised learning, deep reinforcement learning, and neural-symbolic reasoning, and then pursue breakthroughs in natural language processing, computer vision, conversational AI, multimodal intelligence, and other relevant areas.
Researchers from the group have contributed to many projects that have had a significant impact in the academic community and led to the deployment of scenario-enabling AI products and services. A recent example is the computer vision API in Microsoft Cognitive Services, which provides the world’s first image-captioning cloud service. This service enables next-generation scenarios such as CaptionBot, Seeing AI, and empowers Microsoft Word and PowerPoint to create image descriptions automatically for millions of users.
News
- Three papers accepted to ICML 17
- Three papers accepted to CVPR 17 and our team which included University of Adelaide and Australian National University won 1st place in the Visual Question Answering Challenge 2017. See the leaderboard and MSFTResearch Twitter.
- One paper accepted to ACL 17
- Two papers accepted to ICLR 17
- Released the image captioning service in Microsoft Cognitive Services/Vision API. You can try the CaptionBot demo at http://CaptionBot.ai, or add it to your Skype and have a photo chat. The technology is based on our competition winning deep learning multimodal intelligence models.
- Our Microsoft Research entry won 1st Prize, tied with Google, at the MS COCO Captioning Challenge 2015, achieved the highest score in the Turing Test among all submissions. More details in the CVPR paper, demo, relevant talk, and recent media coverage by Microsoft blog, TechNet, SlashGear, Engadget, ventureBeat, androidHeadlines.
