Samuel Humeau

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 9 papers; trusts 555 researchers and is trusted by 96 researchers here, as inferred from the citation graph.

Subfields

Whom Samuel Humeau trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Jason Aaron Edward Weston
  7. Ilya Sutskever
  8. Oriol Vinyals
  9. Jimmy Ba
  10. Yann LeCun

Who trusts Samuel Humeau overall

  1. Kurt Shuster
  2. Jason Aaron Edward Weston
  3. Stephen Roller
  4. Emily Dinan
  5. Da Ju
  6. Eric Michael Smith
  7. Angela Fan
  8. Y-Lan Boureau
  9. Prithviraj Ammanabrolu
  10. Margaret Li

Papers from Samuel Humeau's perspective

Ordered by how strongly the researchers Samuel Humeau 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers