Mercedes García-Martínez

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 3 papers; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mercedes García-Martínez trusts overall

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

  1. Yoshua Bengio
  2. Rico Sennrich
  3. Diederik P. Kingma
  4. Ilya Sutskever
  5. Geoffrey E. Hinton
  6. Jimmy Ba
  7. Tomas Mikolov
  8. Holger Schwenk
  9. Xavier Glorot
  10. Kyunghyun Cho

Who trusts Mercedes García-Martínez overall

  1. Carlos Escolano

Papers from Mercedes García-Martínez's perspective

Ordered by how strongly the researchers Mercedes García-Martínez 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers