Léonard Blier

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 55 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Léonard Blier trusts overall

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

  1. Jorma Rissanen
  2. Geoffrey E. Hinton
  3. Alex Graves
  4. J. Urgen Schmidhuber
  5. David John Cameron MacKay
  6. Karen Simonyan
  7. Jimmy Ba
  8. Sergey Ioffe
  9. Song Han
  10. Alex Krizhevsky

Who trusts Léonard Blier overall

  1. Tiago Pimentel
  2. Ethan Perez
  3. Douwe Kiela
  4. Ryan Cotterell
  5. Wesley J. Maddox
  6. Kyunghyun Cho
  7. Dani Yogatama
  8. Naomi Saphra
  9. Timur Garipov
  10. Adam Gaier

Papers from Léonard Blier's perspective

Ordered by how strongly the researchers Léonard Blier 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. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers