David Nahamoo

Artificial Intelligence · 2011–2017

A researcher in the Science corpus: 6 papers; trusts 25 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

Whom David Nahamoo trusts overall

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

  1. Brian Kingsbury
  2. Geoffrey E. Hinton
  3. Tara N. Sainath
  4. Dong Yu
  5. Abdel-rahman Mohamed
  6. Alex Graves
  7. Patrick Kenny
  8. Frank Torsten Bernd Seide
  9. Li Deng
  10. Yoshua Bengio

Who trusts David Nahamoo overall

  1. Dong Yu
  2. Li Deng
  3. Yajie Miao
  4. Jinyu Li
  5. Wayne Xiong
  6. Vijayaditya Peddinti
  7. Tara N. Sainath
  8. George Saon
  9. Zhen Huang
  10. Naoyuki Kanda

Papers from David Nahamoo's perspective

Ordered by how strongly the researchers David Nahamoo 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Rectified Linear Units Improve Restricted Boltzmann Machines
  10. Learning Multiple Layers of Features from Tiny Images

Their papers