Charles Staats

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Charles Staats trusts overall

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

  1. Sinong Wang
  2. Nikita Kitaev
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Tianqi Chen
  6. Ashish Vaswani
  7. Aurko Roy
  8. Diederik P. Kingma
  9. Ilya Sutskever
  10. Zhuoran Shen

Who trusts Charles Staats overall

  1. Tri Dao
  2. Hao Liu
  3. Amey Agrawal

Papers from Charles Staats's perspective

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

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

Their papers