Niv Nayman

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 102 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Niv Nayman trusts overall

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

  1. Barret Zoph
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Christian Szegedy
  5. Yann LeCun
  6. Alex Krizhevsky
  7. Quoc V. Le
  8. Yoshua Bengio
  9. Kaiming He
  10. Karen Simonyan

Who trusts Niv Nayman overall

  1. Xiang Li
  2. Miao Zhang
  3. Antoine Yang
  4. Chaoyang He
  5. Linnan Wang
  6. Pengzhen Ren
  7. Yushuo Guan
  8. Chen Lin
  9. Pedro M. Esperança
  10. Xiaojun Chang

Papers from Niv Nayman's perspective

Ordered by how strongly the researchers Niv Nayman 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. 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. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers