Stefano Savazzi

Computer Networks and Communications · 2008–2019

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Stefano Savazzi trusts overall

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

  1. L. Eon Bottou
  2. Diederik P. Kingma
  3. Jianshu Chen
  4. Ilya Sutskever
  5. Ali H. Sayed
  6. H. Brendan McMahan
  7. Jakub Konecný
  8. Geoffrey E. Hinton
  9. Mohammad Mohammadi Amiri
  10. Jimmy Ba

Papers from Stefano Savazzi's perspective

Ordered by how strongly the researchers Stefano Savazzi 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers