Learning Inference Rules with Neural TP-Reasoner
Research at Microsoft 2020: Addressing the present while looking to the future
Microsoft researchers pursue the big questions about what the world will be like in the future and the role technology will play. Not only do they take on the responsibility of exploring the long-term vision…
FLAML: A Fast Library for AutoML and Tuning
FLAML is a Python library designed to automatically produce accurate machine learning models with low computational cost. It frees users from selecting learners and hyperparameters for each learner. FLAML is powered by a new, cost-effective…
GitHub Publication Publication Publication Publication Publication
OOPSLA’20 Talk: Feedback-Driven Semi-supervised Synthesis of Program Transformations
This talk was presented at OOPSLA 2020.