Neev Samuel

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Neev Samuel trusts overall

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

  1. L. Eon Bottou
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Karol Gregor
  5. David E. Rumelhart
  6. Yann LeCun
  7. Diederik P. Kingma
  8. Zhan Guo
  9. Yoshua Bengio
  10. X. Zhang

Who trusts Neev Samuel overall

  1. Hengtao He
  2. Paul de Kerret
  3. Tim O'Shea
  4. Chao-Kai Wen
  5. Mingzhe Chen
  6. Alessio Zappone
  7. Hao Ye
  8. Chaoyun Zhang
  9. Mahmoud A. M. Albreem
  10. Qian Mao

Papers from Neev Samuel's perspective

Ordered by how strongly the researchers Neev Samuel 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  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