Machine Learning Posts - Page 5

An overview of research at SAIL related to new techniques that allow us to look inside the black box of neural networks, to how it is possible to find and remove bias, and to how safety in autonomous systems can be assured.

On uncertainty autoencoders, a new framework for statistical compressed sensing and unsupervised representation learning.

On using weak supervision, or high-level noisy sources of labels, to efficiently label training data.