Matteo Bustreo

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 55 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Matteo Bustreo trusts overall

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

  1. Yoshua Bengio
  2. Alex Graves
  3. Ronald J. Williams
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Yann LeCun
  7. Diederik P. Kingma
  8. Alex Krizhevsky
  9. J. Urgen Schmidhuber
  10. Tomas Mikolov

Who trusts Matteo Bustreo overall

  1. A. Sherstinsky
  2. Malte Ludewig
  3. Peter Ondruska
  4. Swarnendu Ghosh
  5. Xia Zhao
  6. Titouan Parcollet
  7. Dietmar Jannach
  8. Ingmar Posner
  9. Haohan Wang
  10. Nibaran Das

Papers from Matteo Bustreo's perspective

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

Their papers