Nicolas Pinto

Artificial Intelligence · 2008–2020

A researcher in the Science corpus: 6 papers; trusts 157 researchers and is trusted by 953 researchers here, as inferred from the citation graph.

Subfields

Whom Nicolas Pinto trusts overall

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

  1. Yann LeCun
  2. Li Fei-Fei
  3. Geoffrey E. Hinton
  4. Francis R. Bach
  5. David G. Lowe
  6. Alex Krizhevsky
  7. David D. Cox
  8. Maximilian Riesenhuber
  9. Rob Fergus
  10. Yoshua Bengio

Who trusts Nicolas Pinto overall

  1. Yann LeCun
  2. Daniel L. K. Yamins
  3. Richard Socher
  4. Graham W. Taylor
  5. Yoshua Bengio
  6. Quoc V. Le
  7. James J. DiCarlo
  8. Koray Kavukcuoglu
  9. Rob Fergus
  10. Trevor Darrell

Papers from Nicolas Pinto's perspective

Ordered by how strongly the researchers Nicolas Pinto 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers