Francesco Di Giovanni

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Francesco Di Giovanni trusts overall

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

  1. Yann Ollivier
  2. G. Perelman
  3. Galileo Namata
  4. Prithviraj Sen
  5. Thomas Kipf
  6. Michael M. Bronstein
  7. Geoffrey E. Hinton
  8. Ronald R. Coifman
  9. Max Welling
  10. Yoshua Bengio

Papers from Francesco Di Giovanni's perspective

Ordered by how strongly the researchers Francesco Di Giovanni 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers