Michele Scarpiniti

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 5 papers; trusts 145 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michele Scarpiniti trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Krizhevsky
  4. Yann LeCun
  5. Kaiming He
  6. Christian Szegedy
  7. Diederik P. Kingma
  8. Ilya Sutskever
  9. Ross B. Girshick
  10. Eugene Belilovsky

Who trusts Michele Scarpiniti overall

  1. Simone Scardapane
  2. Yaniv Leviathan

Papers from Michele Scarpiniti's perspective

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

Their papers