2020
Unsupervised Model Selection for Variational Disentangled Representation Learning
ICLR 2020poster
Disentangled representations have recently been shown to improve fairness, data efficiency and generalisation in simple supervised and reinforcement learning tasks. To extend the benefits of disentangled representations to more complex domains and practical applications, it is important to enable hy…