Rafael Rieder

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 118 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rafael Rieder trusts overall

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

  1. Ross B. Girshick
  2. J. G. Arnal Barbedo
  3. Kaiming He
  4. Ilya Sutskever
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Oriol Vinyals
  8. Yann LeCun
  9. Shaoqing Ren
  10. X. Zhang

Papers from Rafael Rieder's perspective

Ordered by how strongly the researchers Rafael Rieder 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. 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. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers