Bruno Lecouat

Artificial Intelligence · 2018

A researcher in the Science corpus: 4 papers; trusts 32 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Bruno Lecouat trusts overall

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

  1. Yurii E. Nesterov
  2. Alex Krizhevsky
  3. L. Eon Bottou
  4. Alec Radford
  5. Geoffrey E. Hinton
  6. Jeff Donahue
  7. Diederik P. Kingma
  8. Yoshua Bengio
  9. Yann LeCun
  10. Tim Salimans

Who trusts Bruno Lecouat overall

  1. Guansong Pang
  2. Samet Akcay

Papers from Bruno Lecouat's perspective

Ordered by how strongly the researchers Bruno Lecouat 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Learning Multiple Layers of Features from Tiny Images
  5. Gradient-based learning applied to document recognition
  6. GENERATIVE ADVERSARIAL NETS
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers