Rodrigo Nogueira

Artificial Intelligence · with Jiang · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rodrigo Nogueira trusts overall

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

  1. Mostafa Dehghani
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. Oriol Vinyals
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Alex Graves
  8. Alex Krizhevsky
  9. Tomas Mikolov
  10. Stephan Gouws

Papers from Rodrigo Nogueira's perspective

Ordered by how strongly the researchers Rodrigo Nogueira 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers