Javier Tejedor-Sojo

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Javier Tejedor-Sojo trusts

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

  1. Matthew D. Zeiler (in Artificial Intelligence)
  2. Yoshua Bengio (in Computer Vision and Pattern Recognition)

Papers from Javier Tejedor-Sojo's perspective

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

  1. Gradient-based learning applied to document recognition
  2. A Fast Learning Algorithm for Deep Belief Nets
  3. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  4. Et al
  5. Recurrent neural network based language model
  6. Greedy Layer-Wise Training of Deep Networks
  7. ImageNet classification with deep convolutional neural networks
  8. A Scalable Hierarchical Distributed Language Model
  9. Skip-Thought Vectors
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers