Nadav Kashtan

Molecular Biology · 2002–2014

A researcher in the Science corpus: 9 papers; trusts 11 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

Whom Nadav Kashtan trusts overall

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

  1. S. Shen-Orr
  2. Ron Milo
  3. S. Mangan
  4. Mark Newman
  5. Yann LeCun
  6. Uri Alon
  7. L. Lov'asz
  8. Yoshua Bengio
  9. Shalev Itzkovitz
  10. Geoffrey E. Hinton

Who trusts Nadav Kashtan overall

  1. Jeff Clune
  2. Olaf Sporns
  3. Jean-Baptiste Mouret
  4. David Meunier
  5. Joshua A. Grochow
  6. Björn H. Junker
  7. Roby Velez
  8. Uri Alon
  9. E. Bullmore
  10. Kai Olav Ellefsen

Papers from Nadav Kashtan's perspective

Ordered by how strongly the researchers Nadav Kashtan 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. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers