Giulia Vilone

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 755 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Giulia Vilone trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Krizhevsky
  4. Wojciech Samek
  5. Diederik P. Kingma
  6. Yann LeCun
  7. Karen Simonyan
  8. Been Kim
  9. Ilya Sutskever
  10. Kaiming He

Who trusts Giulia Vilone overall

  1. Xinyi Zhou
  2. Waddah Saeed
  3. Gesina Schwalbe
  4. A. Lekova

Papers from Giulia Vilone's perspective

Ordered by how strongly the researchers Giulia Vilone 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  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