Dan Belov

Computer Vision and Pattern Recognition · 2013–2019

A researcher in the Science corpus: 5 papers; trusts 83 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Dan Belov trusts overall

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

  1. Aäron van den Oord
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Kaiming He
  6. Yoshua Bengio
  7. Nal Kalchbrenner
  8. Ilya Sutskever

Who trusts Dan Belov overall

  1. Rewon Child
  2. Karen Simonyan
  3. Sander Dieleman
  4. Sergey Levine
  5. Junichi Yamagishi

Papers from Dan Belov's perspective

Ordered by how strongly the researchers Dan Belov 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. Going deeper with convolutions
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. GENERATIVE ADVERSARIAL NETS
  8. Long Short-Term Memory
  9. Gradient-based learning applied to document recognition
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers