Martino Milani

Artificial Intelligence · 2020

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 Martino Milani trusts overall

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

  1. Mikhail Belkin
  2. Taco Cohen
  3. Pascal Frossard
  4. Yu-Chuan Su
  5. Wouter Boomsma
  6. Michaël Defferrard
  7. Benjamin Coors
  8. Carlos Esteves
  9. Partha Niyogi

Papers from Martino Milani's perspective

Ordered by how strongly the researchers Martino Milani 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers