Matteo Santoro

Computer Vision and Pattern Recognition · with Rosasco · 2010–2013

A researcher in the Science corpus: 3 papers; trusts 32 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Matteo Santoro trusts overall

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

  1. E.J. Candes
  2. Robert Tibshirani
  3. Francis R. Bach
  4. Li Fei-Fei
  5. Yuhai Wu
  6. Yurii E. Nesterov
  7. Geoffrey E. Hinton
  8. Grace Wahba
  9. Yann LeCun
  10. Alex Krizhevsky

Who trusts Matteo Santoro overall

  1. Tyler L. Hayes

Papers from Matteo Santoro's perspective

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

Their papers