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Vanessa D'Amario

3 papers hereh-index 462 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.AI1

identity via Semantic Scholar / OpenAlex

activity
20192023
most citedFrivolous Units: Wider Networks Are Not Really That Wide

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2023

D3: Data Diversity Design for Systematic Generalization in Visual Question Answering

Amir Rahimi, Vanessa D'Amario, Moyuru Yamada +3

Systematic generalization is a crucial aspect of intelligence, which refers to the ability to generalize to novel tasks by combining known subtasks and concepts. One critical facto…

cs.LG2021

How Modular Should Neural Module Networks Be for Systematic Generalization?

Vanessa D'Amario, Tomotake Sasaki, Xavier Boix

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 generali…

cs.LG2019★ 1 cited

Frivolous Units: Wider Networks Are Not Really That Wide

Stephen Casper, Xavier Boix, Vanessa D'Amario +4

A remarkable characteristic of overparameterized deep neural networks (DNNs) is that their accuracy does not degrade when the network's width is increased. Recent evidence suggests…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.