Nathan E. West

Model Architectures · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 55 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Nathan E. West trusts overall

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

  1. Geoffrey E. Hinton
  2. Tim O'Shea
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Jimmy Ba
  7. Ilya Sutskever
  8. Yoshua Bengio
  9. Christian Szegedy
  10. Kaiming He

Who trusts Nathan E. West overall

  1. Tim O'Shea
  2. Jialang Xu
  3. Sreeraj Rajendran
  4. Meysam Sadeghi
  5. Chunbo Luo
  6. Wannes Meert
  7. Tamoghna Roy
  8. Gerard P. Parr
  9. Erik G. Larsson
  10. Chaoyun Zhang

Papers from Nathan E. West's perspective

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

Their papers