Miguel Graça

Natural Language Processing · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Miguel Graça trusts overall

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

  1. Rico Sennrich
  2. Diederik P. Kingma
  3. Barry Haddow
  4. Philipp Koehn
  5. Jimmy Ba
  6. Alexandra Birch
  7. Geoffrey E. Hinton
  8. Kenji Imamura
  9. Peter F. Brown
  10. Ashish Vaswani

Papers from Miguel Graça's perspective

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

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

Their papers