Carl Denton

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 39 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Carl Denton trusts overall

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

  1. Jason Eisner
  2. Diederik P. Kingma
  3. Alex Graves
  4. Justin Domke
  5. Jason Aaron Edward Weston
  6. Geoffrey E. Hinton
  7. Yoshua Bengio
  8. Graham Neubig
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Carl Denton overall

  1. Fabien Baradel
  2. Dichao Hu
  3. Nicholas Geneva
  4. Zeljko Agic
  5. Adina Williams
  6. Christian Wolf
  7. Tao Shen
  8. Jihun Choi
  9. Masaru Isonuma
  10. Jing-Xuan Zhang

Papers from Carl Denton's perspective

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

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

Their papers