Abstract This is a two-part seminar. The first part will be dedicated to discussing how we can apply bayesian approaches to model comparison in NLP (and also ML in general), the drawbacks and limitations of[…]
Abstract Neural Architecture Search (NAS) is a very promising but still young field. I will start this talk by discussing various works aiming to build a scientific community around NAS, including benchmarks, best practices, and[…]
Abstract Fueling deep learning models with big, curated datasets can yield unprecedented results for recognizing objects, scenes, human activities, and attributes. However, as we continue to advance the boundary of visual recognition and the number[…]
Abstract People love to argue. In recent years, Artificial Intelligence has achieved great advances in modelling natural language argumentation. While analysing and creating arguments is a highly complex (and enjoyable!) task at which even humans are[…]
Abstract Never before was it so easy to write a powerful NLP system, never before did it have such a potential impact. However, these systems are now increasingly used in applications they were not intended[…]
Abstract Computational analysis of sound scenes has emerged in the last years as a prominent research area that has several applications, but also different several different engineering tasks to be solved. This presentation give an[…]
Abstract Given the recent proliferation of disinformation online, there has been growing research interest in automatically debunking rumors, false claims, and “fake news”. A number of fact-checking initiatives have been launched so far, both manual[…]
