Virginia Dignum

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 6 papers; trusts 18 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Virginia Dignum trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Chitu Okoli
  2. Hila Gonen
  3. Suzanne D. Pawlowski
  4. Morgan C. Benton
  5. Christian P. Robert
  6. Nick Bostrom
  7. Alan Bundy
  8. Nuno Vasconcelos
  9. Sanjay Modgil
  10. C. Frey

Who trusts Virginia Dignum overall

  1. Nantheera Anantrasirichai
  2. Vikas Hassija
  3. D. Bull
  4. Henrik Skaug Sætra
  5. Vincent C. Müller
  6. Daniel S. Schiff
  7. Iason Gabriel
  8. Stefan Larsson
  9. Vinay Chamola
  10. Davinder Kaur

Papers from Virginia Dignum's perspective

Ordered by how strongly the researchers Virginia Dignum trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. GloVe: Global Vectors for Word Representation
  8. ImageNet: A large-scale hierarchical image database
  9. Efficient Estimation of Word Representations in Vector Space
  10. Learning Multiple Layers of Features from Tiny Images

Their papers