Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Video
Empowering ALL K12 students to learn computer science
Day 3 | November 19, 2020 Theme: Unblocking the Pipeline from Education to Employment Ruthe Farmer, CS for All Consortium The Accessible Computer Science Education Fall Workshop was hosted by Microsoft, University of Washington CREATE,…
Video
Directions in ML: Automating Dataset Comparison and Manipulation with Optimal Transport
Machine learning research has traditionally been model-centric, focusing on architectures, parameter optimization, and model transfer. Much less attention has been given to the datasets on which these models are trained, which are often assumed to…
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Students with disabilities in the U.S.
Day 1 | November 17, 2020 Theme: Envisioning the Future of Tech for Inclusion Richard Ladner, University of Washington The Accessible Computer Science Education Fall Workshop was hosted by Microsoft, University of Washington CREATE, and…
Tool
Uncertainty-aware Self-training for Few-shot Text Classification (code)
Uncertainty-aware self-training (UST) for few-shot text classification with pre-trained language models. With only 20-30 labeled samples per class for each task, UST can perform similar to fully supervised pre-trained language models like BERT fine-tuned on…
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Welcome & Introduction to Microsoft’s Accessible Computer Science Education Fall Workshop
Day 1 | November 17, 2020 Theme: Envisioning the Future of Tech for Inclusion Roy Zimmermann, Microsoft The Accessible Computer Science Education Fall Workshop was hosted by Microsoft, University of Washington CREATE, and University of…
Event
Accessible Computer Science Education Fall Workshop
The Accessible Learning Fall Workshop will be three intensive days of talks, discussions and planning for new research dedicated to improving learning experiences for people with disabilities. At this event, we will build a research…
Group
Deep and Reinforcement Learning Group
The Deep and Reinforcement Learning Group at Microsoft Research Asia pushes forward the research of deep learning and reinforcement learning from both algorithmic and practical aspects. Our interests include Deep representation learning, with focus on…