2 papers
cs.CV2020
Learning Unbiased Representations via Mutual Information Backpropagation
Ruggero Ragonesi, Riccardo Volpi, Jacopo Cavazza +1
We are interested in learning data-driven representations that can generalize well, even when trained on inherently biased data. In particular, we face the case where some attribut…
cs.CV2020
Generative Pseudo-label Refinement for Unsupervised Domain Adaptation
Pietro Morerio, Riccardo Volpi, Ruggero Ragonesi +1
We investigate and characterize the inherent resilience of conditional Generative Adversarial Networks (cGANs) against noise in their conditioning labels, and exploit this fact in…