Machine Learning and the InnerEye for Cancer Treatment with Dr. Antonio Criminisi
Episode 13, February 21, 2018 – Today, Dr. Criminisi talks about Project InnerEye, an innovative machine learning tool that helps radiologists identify and analyze 3-D images of cancerous tumors. He also gives us some insight…
Avoiding the Pitfalls of Active Learning with Robust Predictors for Covariate Shift
Pool-based active learning promises to significantly reduce the labeling burden of black-box supervised machine learning methods but often doesn’t deliver in practice. In fact, standard active learning techniques frequently provide worse performance than passive learners…
Swiss Joint Research Center Workshop 2018
The 5th annual workshop of the Microsoft-Swiss Joint Research Center (with ETH Zurich/EPFL) took place February 19 -20, 2018 at EPFL in Lausanne. This was the last workshop for the Swiss JRC in 2018. The…