R. Schneider

Computer Vision and Pattern Recognition · with Alayrac · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 354 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom R. Schneider trusts overall

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

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

Who trusts R. Schneider overall

  1. Corey Lynch
  2. Arsha Nagrani

Papers from R. Schneider's perspective

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

Their papers