Gaël Richard

Artificial Intelligence · 2000–2021

A researcher in the Science corpus: 5 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gaël Richard trusts overall

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

  1. Diederik P. Kingma
  2. Radford M. Neal
  3. Alex Krizhevsky
  4. Frank Dellaert
  5. Yurii E. Nesterov
  6. Geoffrey E. Hinton
  7. Max Welling
  8. Yoshua Bengio
  9. Jimmy Ba
  10. Yann LeCun

Papers from Gaël Richard's perspective

Ordered by how strongly the researchers Gaël Richard 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. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Learning Multiple Layers of Features from Tiny Images
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet: A large-scale hierarchical image database

Their papers