Leonardo F. R. Ribeiro

Artificial Intelligence · with Ribeiro · 2022

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Leonardo F. R. Ribeiro trusts overall

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

  1. Diederik P. Kingma
  2. Nils Reimers
  3. Jimmy Ba
  4. Geoffrey E. Hinton
  5. Artidoro Pagnoni
  6. Yoshua Bengio
  7. Ziqiang Cao
  8. Ramesh Nallapati
  9. Jeffrey Flanigan
  10. Michele Banko

Papers from Leonardo F. R. Ribeiro's perspective

Ordered by how strongly the researchers Leonardo F. R. Ribeiro trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers