Vincent-Pierre Berges

Artificial Intelligence · 2018–2024

A researcher in the Science corpus: 4 papers; trusts 54 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Vincent-Pierre Berges trusts overall

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

  1. Richard S. Sutton
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. J. Urgen Schmidhuber
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Marc G. Bellemare
  9. Yann LeCun
  10. Ilya Sutskever

Papers from Vincent-Pierre Berges's perspective

Ordered by how strongly the researchers Vincent-Pierre Berges trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers