Antonin Raffin

Artificial Intelligence · 2017–2023

A researcher in the Science corpus: 5 papers; trusts 21 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Antonin Raffin trusts overall

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

  1. Rico Jonschkowski
  2. Diederik P. Kingma
  3. Volodymyr Mnih
  4. Geoffrey E. Hinton
  5. Kaiming He
  6. Martin A. Riedmiller
  7. J. Urgen Schmidhuber
  8. Yoshua Bengio
  9. Alex Krizhevsky
  10. Richard S. Sutton

Who trusts Antonin Raffin overall

  1. Hugo Caselles-Dupré
  2. Alexandre Heuillet
  3. Michaël Garcia Ortiz
  4. Kalifou René Traoré
  5. David Filliat
  6. Timothée Lesort
  7. Fabien Couthouis
  8. Natalia Díaz Rodríguez
  9. Minae Kwon
  10. G. Qian

Papers from Antonin Raffin's perspective

Ordered by how strongly the researchers Antonin Raffin 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers