Machine learning and fairness webinar
In this webinar led by Microsoft researchers Jenn Wortman Vaughan and Hanna Wallach, 15-year veterans of the machine learning field, you’ll learn how to make detecting and mitigating biases a first-order priority in your development and deployment…
Winning combination: 2019 Microsoft Research Ada Lovelace and PhD Fellowships support top talent
Microsoft Research is proud to announce the 2019 winners of the Ada Lovelace Fellowship and PhD Fellowship. The Ada Lovelace Fellowship is a new fellowship for Microsoft Research, established to support diverse talent getting doctorates…
Microsoft Ability Initiative: A collaborative quest to innovate in image captioning for people who are blind or with low vision
Microsoft is committed to pushing the boundaries of technology to improve and positively influence all parts of society. Recent advances in deep learning and related AI techniques have resulted in significant strides in automated image…
Building contextually intelligent assistants with Dr. Paul Bennett
Episode 59, January 16, 2019 – Dr. Bennett brings us up to speed on the science of contextually intelligent assistants, explains how what we think our machines can do actually shapes what we expect them…
FigureQA Dataset
Answering questions about a given image is a difficult task, requiring both an understanding of the image and the accompanying query. Microsoft research Montreal’s FigureQA dataset introduces a new visual reasoning task for research, specific…
Frames Dataset
Motivation A generation of voice assistants such as Siri, Cortana, and Google Now have been popular spoken dialogue systems. More recently, we have seen a rise in text-based conversational agents (aka chatbots). Text is preferred…
NewsQA Dataset
With massive volumes of written text being produced every second, how do we make sure that we have the most recent and relevant information available to us? Microsoft research Montreal is tackling this problem by…
Advances in AI and the Future of Work: Perspectives and Discussion
Please join us for this special Microsoft event brought to you by Microsoft Research, CELA, and the Microsoft Aether Committee. Advances in methods and applications of AI, particularly with uses of machine learning, have stimulated…
Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision
This code supports the paper “Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision”, presented at EMNLP 2018.