John Boaz Lee

Artificial Intelligence · 2018

A researcher in the Science corpus: 3 papers; trusts 64 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom John Boaz Lee trusts overall

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

  1. Diederik P. Kingma
  2. Ronald J. Williams
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Jimmy Ba
  7. J. Urgen Schmidhuber
  8. Nino Shervashidze
  9. Alex Krizhevsky
  10. Alex Graves

Who trusts John Boaz Lee overall

  1. Yunsheng Bai
  2. Feng Xia
  3. Si Zhang
  4. Derya Soydaner
  5. Ryan A. Rossi
  6. Haoyang Ding
  7. Srijan Kumar
  8. Ke Sun

Papers from John Boaz Lee's perspective

Ordered by how strongly the researchers John Boaz Lee 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. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers