Grace Cuenca

Artificial Intelligence · 2022

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 Grace Cuenca trusts overall

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

  1. Pengcheng Yin
  2. Graham Neubig
  3. Jörg Tiedemann
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Victor Zhong
  8. Ilya Sutskever
  9. Richard Socher
  10. Naman Goyal

Who trusts Grace Cuenca overall

  1. Zhiruo Wang

Papers from Grace Cuenca's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers