Marco Levorato

Artificial Intelligence · 2010–2022

A researcher in the Science corpus: 3 papers; trusts 392 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Marco Levorato trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Ross B. Girshick
  7. Yann LeCun
  8. Ilya Sutskever
  9. Karen Simonyan
  10. Jimmy Ba

Who trusts Marco Levorato overall

  1. Yan Du
  2. Zhe Wang
  3. Cheng Chen

Papers from Marco Levorato's perspective

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

Their papers