Diana Gonzalez-Rico

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 56 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Diana Gonzalez-Rico trusts overall

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

  1. Jason Aaron Edward Weston
  2. Guillaume Lample
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Alec Radford
  6. Diederik P. Kingma
  7. Ilya Sutskever
  8. Eric Michael Smith
  9. Emily Dinan
  10. Richard Socher

Who trusts Diana Gonzalez-Rico overall

  1. Eric Michael Smith
  2. Emily Dinan
  3. Y-Lan Boureau
  4. Jing Xu
  5. Adina Williams
  6. Kushal Arora
  7. Sabrina J. Mielke

Papers from Diana Gonzalez-Rico's perspective

Ordered by how strongly the researchers Diana Gonzalez-Rico trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers