Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
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RaCT
This repository implements Ranking-Critical Training (RaCT) for Collaborative Filtering, accepted in International Conference on Learning Representations (ICLR), 2020. By using an actor-critic architecture to fine-tune a differentiable collaborative filtering model, we can improve the performance…
동영상
Webinar: Designing Computer Vision Algorithms to Describe the Visual World to People Who Are Blind or Low Vision
A common goal in computer vision research is to build machines that can replicate the human vision system (for example, detect an object or scene category, describe an object or scene, or locate an object).…
동영상
Neural Learning To Rank by Bhaskar Mitra (Guest lecture at Emory University)
Learning to rank (LTR) for information retrieval (IR) involves the application of machine learning models to rank artifacts, such as items to be recommended, in response to user’s need. LTR models typically employ training data,…
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Research Collection: Research Supporting Responsible AI
Microsoft is committed to the advancement and use of AI grounded in principles that put people first and benefit society. We are putting these principles into practice throughout the company by embracing diverse perspectives, fostering…
