Alexis Lechat

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alexis Lechat trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alexander Kolesnikov
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Zhizhong Li
  7. X. Zhang
  8. Yann LeCun
  9. Diederik P. Kingma
  10. Ross B. Girshick

Who trusts Alexis Lechat overall

  1. Matteo Boschini
  2. Pietro Buzzega

Papers from Alexis Lechat's perspective

Ordered by how strongly the researchers Alexis Lechat 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers