Javier de la Rosa

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Javier de la Rosa trusts overall

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

  1. Alec Radford
  2. Kenneth Heafield
  3. Jacob Devlin
  4. Guillaume Lample
  5. Alexis Conneau
  6. Geoffrey E. Hinton
  7. Yoshua Bengio
  8. Ilya Sutskever
  9. Diederik P. Kingma
  10. Malvina Nissim

Who trusts Javier de la Rosa overall

  1. Margaret Mitchell

Papers from Javier de la Rosa's perspective

Ordered by how strongly the researchers Javier de la Rosa trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers