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Vanessa D'Amario

2 accepted papers

2021

Frivolous Units: Wider Networks Are Not Really That Wide

AAAI 2021technical

A remarkable characteristic of overparameterized deep neural networks (DNNs) is that their accuracy does not degrade when the network width is increased. Recent evidence suggests that developing compressible representations allows the complexity of large networks to be adjusted for the learning task…

2021

How Modular should Neural Module Networks Be for Systematic Generalization?

NeurIPS 2021poster

Neural Module Networks (NMNs) aim at Visual Question Answering (VQA) via composition of modules that tackle a sub-task. NMNs are a promising strategy to achieve systematic generalization, i.e., overcoming biasing factors in the training distribution. However, the aspects of NMNs that facilitate syst…