Deep Architectures for Structured Data

Deep learning has shown to be very efficient for supervised classification problems like object recognition and speech recognition. In this presentation, I will discuss several structured data problems, like image captioning and machine translation, and will present several approaches to address them with deep architectures, both in terms of model and learning algorithms. The talk will combine results published at CVPR, ICLR and NIPS in the last year.