Samuel Carton

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 99 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Samuel Carton trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Ilya Sutskever
  5. Alex Krizhevsky
  6. Sepp Hochreiter
  7. Yann LeCun
  8. Oriol Vinyals
  9. J. Urgen Schmidhuber
  10. Alex Graves

Who trusts Samuel Carton overall

  1. Sarah Wiegreffe
  2. Ana Marasovic
  3. Chenhao Tan
  4. Jian Guan
  5. Elizabeth Clark
  6. Jie Gui

Papers from Samuel Carton's perspective

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

Their papers