Miquel Perello-Nieto

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Miquel Perello-Nieto trusts overall

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

  1. Kaiming He
  2. Gao Huang
  3. Yann LeCun
  4. Jaka Demsar
  5. Bianca Zadrozny
  6. Sergey Zagoruyko
  7. Yoshua Bengio
  8. Geoffrey E. Hinton
  9. Alex Krizhevsky
  10. Meelis Kull

Who trusts Miquel Perello-Nieto overall

  1. Ananya Kumar

Papers from Miquel Perello-Nieto's perspective

Ordered by how strongly the researchers Miquel Perello-Nieto 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. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers