Natalia Silveira

Artificial Intelligence · 2014–2017

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Natalia Silveira trusts overall

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

  1. Slav Petrov
  2. Marie-Catherine de Marneffe
  3. Daniel Klein
  4. Christopher D. Manning
  5. Roger Levy
  6. Michael Collins
  7. Ryan T. McDonald
  8. Eduard H. Hovy
  9. Bill MacCartney
  10. Joakim Nivre

Who trusts Natalia Silveira overall

  1. Ian Tenney
  2. Matt Gardner
  3. Grzegorz Chrupała
  4. Amir Zeldes
  5. Dat Quoc Nguyen
  6. Terra Blevins
  7. Amil Merchant
  8. Nelson F. Liu
  9. Ellie Pavlick
  10. Koustuv Sinha

Papers from Natalia Silveira's perspective

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

  1. Long Short-Term Memory
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  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. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers