O. Fried

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom O. Fried trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Michael Niemeyer
  4. Alex Krizhevsky
  5. Kaiming He
  6. Justus Thies
  7. Vincent Sitzmann
  8. Yoshua Bengio
  9. Jimmy Ba
  10. Yann LeCun

Papers from O. Fried's perspective

Ordered by how strongly the researchers O. Fried trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. GENERATIVE ADVERSARIAL NETS
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers