Javier Ferrer

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Javier Ferrer trusts overall

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

  1. Iain Murray
  2. Yann LeCun
  3. Andrés Camero
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Teemu Nuortio
  7. Jamal Toutouh
  8. Diederik P. Kingma
  9. Arnold Tukker
  10. Enrique Alba

Who trusts Javier Ferrer overall

  1. Andrés Camero
  2. Jamal Toutouh
  3. Enrique Alba

Papers from Javier Ferrer's perspective

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

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

Their papers