James Cross

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 7 papers; trusts 300 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom James Cross trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. Diederik P. Kingma
  5. Kyunghyun Cho
  6. Rico Sennrich
  7. Alex Krizhevsky
  8. Oriol Vinyals
  9. Dzmitry Bahdanau
  10. Alex Graves

Who trusts James Cross overall

  1. Francisco (Paco) Guzmán
  2. Andrea Madotto
  3. Julian Salazar
  4. Sumanth Dathathri
  5. Surangika Ranathunga
  6. Peng-Jen Chen

Papers from James Cross's perspective

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

Their papers