Projets
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Sequence generation is important because we need it to solve real life problems such as machine translation, document summarization , question generation , sentence generation, as well as many image and video captioning tasks that are developed at MSR in…
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This research project aims at developing a new class of Reinforcement Learning (RL) algorithms that are sample efficient, off policy, and transferable. We seek to demonstrate these new algorithms in real-world operational optimal control applications such as Indoor Farm Control…
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We are focusing on understanding, reasoning, and generation across language and vision, and creation of intelligent services, including vision-to-text captioning, text-to-vision generation, and question answering/dialog about images and videos.
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Microsoft Dialogue Challenge: Building End-to-End Task-Completion Dialogue Systems, at SLT 2018. [Proposal] All the data, source code and schedule information will be updated here. This project aims to develop intelligent dialogue agents to help users effectively accomplish tasks via natural…
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To build a machine learning based intelligent system, we often need to collect training labels and feed them into the system. A useful lesson in machine learning is that «more data beats a clever algorithm». In the current days, through…