Chris Jones

Artificial Intelligence · with Clark · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chris Jones trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Ilya Sutskever
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Kaiming He
  7. Aäron van den Oord
  8. Yann LeCun
  9. Karen Simonyan

Papers from Chris Jones's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Going deeper with convolutions
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. GENERATIVE ADVERSARIAL NETS
  8. Long Short-Term Memory
  9. Gradient-based learning applied to document recognition
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers