Pietro Cavallo

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Pietro Cavallo trusts overall

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

  1. Heiko Paulheim
  2. Bharath Ramsundar
  3. Petar Ristoski

Who trusts Pietro Cavallo overall

  1. Katsuhiko Ishiguro

Papers from Pietro Cavallo's perspective

Ordered by how strongly the researchers Pietro Cavallo trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. The Graph Neural Network Model
  7. Gradient-based learning applied to document recognition
  8. Spectral Networks and Locally Connected Networks on Graphs
  9. Going deeper with convolutions
  10. Long-term recurrent convolutional networks for visual recognition and description

Their papers