Chaim Baskin

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chaim Baskin trusts overall

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

  1. Alex Krizhevsky
  2. Yoshua Bengio
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Yann LeCun
  6. Diederik P. Kingma
  7. Ilya Sutskever
  8. Itay Hubara
  9. Ross B. Girshick
  10. X. Zhang

Who trusts Chaim Baskin overall

  1. Alexandre D'efossez
  2. Yossi Adi
  3. Sein Park
  4. Yury Nahshan
  5. Gabriel Synnaeve

Papers from Chaim Baskin's perspective

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

Their papers