16 citations · 26 across the 15 of their papers we have counts for
3 papers · 1 filter
Sparse Communication via Mixed Distributions
António Farinhas, Wilker Aziz, Vlad Niculae +1
Neural networks and other machine learning models compute continuous representations, while humans communicate mostly through discrete symbols. Reconciling these two forms of commu…
Sparse Continuous Distributions and Fenchel-Young Losses
André F. T. Martins, Marcos Treviso, António Farinhas +4
Exponential families are widely used in machine learning, including many distributions in continuous and discrete domains (e.g., Gaussian, Dirichlet, Poisson, and categorical distr…
Multimodal Continuous Visual Attention Mechanisms
António Farinhas, André F. T. Martins, Pedro M. Q. Aguiar
Visual attention mechanisms are a key component of neural network models for computer vision. By focusing on a discrete set of objects or image regions, these mechanisms identify t…