1 citations · 1 across the 2 of their papers we have counts for
5 papers
SPECTRA: Sparse Structured Text Rationalization
Nuno Miguel Guerreiro, André F. T. Martins
Selective rationalization aims to produce decisions along with rationales (e.g., text highlights or word alignments between two sentences). Commonly, rationales are modeled as stoc…
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…
Reconciling the Discrete-Continuous Divide: Towards a Mathematical Theory of Sparse Communication
André F. T. Martins
Neural networks and other machine learning models compute continuous representations, while humans communicate with discrete symbols. Reconciling these two forms of communication i…
Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning
Tsvetomila Mihaylova, Vlad Niculae, André F. T. Martins
Latent structure models are a powerful tool for modeling language data: they can mitigate the error propagation and annotation bottleneck in pipeline systems, while simultaneously…
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity
Gonçalo M. Correia, Vlad Niculae, Wilker Aziz +1
Training neural network models with discrete (categorical or structured) latent variables can be computationally challenging, due to the need for marginalization over large or comb…