Alejandro Acosta

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alejandro Acosta trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Andrew Zisserman
  7. X. Zhang
  8. Yoshua Bengio
  9. Ross B. Girshick
  10. Karen Simonyan

Papers from Alejandro Acosta's perspective

Ordered by how strongly the researchers Alejandro Acosta 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers