Mariano Cabezas

Computer Vision and Pattern Recognition · 2011–2018

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mariano Cabezas trusts overall

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

  1. Julian Besag
  2. Marcel Prastawa
  3. Alex P. Zijdenbos
  4. Rolf A. Heckemann
  5. Simon Keith Warfield
  6. Paul Aljabar
  7. Geoffrey E. Hinton
  8. Chris A. Cocosco
  9. Xabier Artaechevarria
  10. Matthew D. Zeiler

Who trusts Mariano Cabezas overall

  1. Snehasis Mukherjee

Papers from Mariano Cabezas's perspective

Ordered by how strongly the researchers Mariano Cabezas 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. Gradient-based learning applied to document recognition
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers