José Antonio Arjona-Medina

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 72 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom José Antonio Arjona-Medina trusts overall

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

  1. Sepp Hochreiter
  2. Richard S. Sutton
  3. J. Urgen Schmidhuber
  4. Alex Graves
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Ronald J. Williams
  8. Andrew Barto
  9. Ilya Sutskever
  10. Dimitri P. Bertsekas

Who trusts José Antonio Arjona-Medina overall

  1. Wojciech Samek
  2. J. Urgen Schmidhuber
  3. Grgoire Montavon
  4. Su Young Lee
  5. K. Müller
  6. Alexander R. Trott
  7. Sebastian Lapuschkin
  8. Leila Arras
  9. Cosmin Paduraru
  10. Yaodong Yang

Papers from José Antonio Arjona-Medina's perspective

Ordered by how strongly the researchers José Antonio Arjona-Medina 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers