Erwin Quiring

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Erwin Quiring trusts overall

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

  1. Battista Biggio
  2. David G. Lowe
  3. Jessica J. Fridrich
  4. Karen Simonyan
  5. Christian Szegedy
  6. Nicholas Carlini
  7. Ilya Sutskever
  8. Stephen P. Boyd
  9. Alex Krizhevsky
  10. Andrew Zisserman

Who trusts Erwin Quiring overall

  1. Gaurav Parmar

Papers from Erwin Quiring's perspective

Ordered by how strongly the researchers Erwin Quiring 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. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers