Yoan Mollard

Artificial Intelligence · 2017

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 Yoan Mollard trusts overall

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

  1. Pierre-Yves Oudeyer
  2. Kenneth O. Stanley
  3. Joel Lehman
  4. J. Urgen Schmidhuber
  5. Andrew Barto
  6. Cédric Colas
  7. Adrien Baranes
  8. Richard S. Sutton
  9. Kaiming He
  10. Geoffrey E. Hinton

Who trusts Yoan Mollard overall

  1. Rui Wang

Papers from Yoan Mollard's perspective

Ordered by how strongly the researchers Yoan Mollard 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  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. ImageNet Large Scale Visual Recognition Challenge

Their papers