Iacopo Vagliano

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Iacopo Vagliano trusts overall

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

  1. Diederik P. Kingma
  2. Thomas Kipf
  3. Yoshua Bengio
  4. Mark Newman
  5. Xavier Glorot
  6. Max Welling
  7. Petar Velickovic
  8. Geoffrey E. Hinton
  9. William L. Hamilton
  10. Jimmy Ba

Papers from Iacopo Vagliano's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  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. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers