Jordan Clive

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 152 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jordan Clive trusts overall

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

  1. Chin-Yew Lin
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Richard Socher
  6. Ilya Sutskever
  7. Alex Krizhevsky
  8. Jeffrey Pennington
  9. Yann LeCun
  10. Kaiming He

Papers from Jordan Clive's perspective

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

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

Their papers