Santiago Fernández

Model Architectures · 2005–2009

A researcher in the Science corpus: 7 papers; trusts 33 researchers and is trusted by 957 researchers here, as inferred from the citation graph.

Subfields

Whom Santiago Fernández trusts overall

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

  1. Alex Graves
  2. J. Urgen Schmidhuber
  3. Lawrence R. Rabiner
  4. Sepp Hochreiter
  5. Anthony J. Robinson
  6. Mike Schuster
  7. Yoshua Bengio
  8. John Scott Bridle
  9. Yann LeCun
  10. Ronald J. Williams

Who trusts Santiago Fernández overall

  1. J. Urgen Schmidhuber
  2. Alex Graves
  3. Yoshua Bengio
  4. Quoc V. Le
  5. Ruslan Salakhutdinov
  6. Kyunghyun Cho
  7. Hasim Sak
  8. Sergey Levine
  9. Mohit Bansal
  10. Ronan Collobert

Papers from Santiago Fernández's perspective

Ordered by how strongly the researchers Santiago Fernández 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. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers