Leonard Berrada

Artificial Intelligence · 2019–2025

A researcher in the Science corpus: 3 papers; trusts 229 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Leonard Berrada trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Karen Simonyan
  8. Ilya Sutskever
  9. Christian Szegedy
  10. Ross B. Girshick

Who trusts Leonard Berrada overall

  1. Nicolas Loizou
  2. Sharan Vaswani
  3. Simon Lacoste-Julien
  4. Issam Hadj Laradji
  5. Tom Sander
  6. Chen Chen

Papers from Leonard Berrada's perspective

Ordered by how strongly the researchers Leonard Berrada 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers