Gilles Meyer

Artificial Intelligence · 2010

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gilles Meyer trusts overall

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

  1. Kilian Q. Weinberger
  2. Francis R. Bach
  3. Michael I. Jordan
  4. Geoffrey E. Hinton
  5. Bernhard Schölkopf
  6. Robert E. Schapire
  7. John Shawe-Taylor
  8. Yoram Singer
  9. L. Eon Bottou
  10. Andrew Y. Ng

Who trusts Gilles Meyer overall

  1. Silvere Bonnabel
  2. Bart Vandereycken
  3. André Uschmajew

Papers from Gilles Meyer's perspective

Ordered by how strongly the researchers Gilles Meyer 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers