Marco Donato

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Marco Donato trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Karen Simonyan
  4. Kaiming He
  5. Yoshua Bengio
  6. Alex Graves
  7. Andrew Zisserman
  8. Brandon Reagen
  9. Yann LeCun
  10. Sepp Hochreiter

Papers from Marco Donato's perspective

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

Their papers