Nicolas Angelard-Gontier

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 34 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Nicolas Angelard-Gontier trusts overall

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

  1. Yoshua Bengio
  2. Iulian Serban
  3. Oriol Vinyals
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Diederik P. Kingma
  7. Alessandro Sordoni
  8. Ryan J. Lowe
  9. Sepp Hochreiter
  10. Alex Krizhevsky

Who trusts Nicolas Angelard-Gontier overall

  1. Ananya B. Sai

Papers from Nicolas Angelard-Gontier's perspective

Ordered by how strongly the researchers Nicolas Angelard-Gontier trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers