Joseph Roth

Computer Vision and Pattern Recognition · with Chaudhuri · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Joseph Roth trusts overall

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

  1. J. Fleiss
  2. Andrew Zisserman
  3. Joon Son Chung
  4. Mark Everingham
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Geoffrey E. Hinton
  8. Andrew G. Howard
  9. Arsha Nagrani
  10. Kaiming He

Who trusts Joseph Roth overall

  1. Curtis G. Northcutt
  2. Qingqiu Huang

Papers from Joseph Roth's perspective

Ordered by how strongly the researchers Joseph Roth 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. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  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. Going deeper with convolutions

Their papers