Mirko Prezioso

Artificial Intelligence · 2014–2017

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Mirko Prezioso trusts overall

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

  1. John A. Hertz
  2. J. Urgen Schmidhuber
  3. Jennifer Olson Hasler
  4. Alex Krizhevsky
  5. Anders Krogh
  6. Geoffrey E. Hinton

Who trusts Mirko Prezioso overall

  1. Leon Ong Chua
  2. Daniele Ielmini
  3. Gökmen Tayfun
  4. Mohammed Affan Zidan
  5. Can Li
  6. Pai-Yu Chen
  7. Shimeng Yu
  8. Vivienne Sze
  9. John Paul Strachan
  10. Peng Yao

Papers from Mirko Prezioso's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Learning Multiple Layers of Features from Tiny Images
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers