A. Queiruga

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom A. Queiruga trusts overall

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

  1. Alex Krizhevsky
  2. Stewart A. Silling
  3. Kaiming He
  4. Diederik P. Kingma
  5. Geoffrey E. Hinton
  6. Ilya Sutskever
  7. Eldad Haber
  8. W. E
  9. Richard S. Sutton
  10. Yoshua Bengio

Who trusts A. Queiruga overall

  1. Jiaming Song
  2. Benjamin Paul Chamberlain
  3. Chenlin Meng

Papers from A. Queiruga's perspective

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

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

Their papers