Á. Soto

Computer Vision and Pattern Recognition · 2014–2019

A researcher in the Science corpus: 4 papers; trusts 586 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Á. Soto trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Kaiming He
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Ilya Sutskever
  7. Yann LeCun
  8. Ross B. Girshick
  9. Thorsten Joachims
  10. Alan L. Yuille

Who trusts Á. Soto overall

  1. Jianfang Hu
  2. Liliana Lo Presti
  3. Lingling Tao
  4. Ivan Lillo
  5. José Ramón Padilla-López
  6. Juan Carlos Niebles

Papers from Á. Soto's perspective

Ordered by how strongly the researchers Á. Soto 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. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers