Ke Li

Artificial Intelligence · with Khudanpur · 2018

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Ke Li trusts overall

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

  1. Daniel Povey
  2. Vijayaditya Peddinti
  3. Tomas Mikolov
  4. Yoshua Bengio
  5. Tom Ko
  6. Geoffrey E. Hinton
  7. Sanjeev Khudanpur
  8. Sergey Ioffe
  9. Alex Graves
  10. Xavier Glorot

Who trusts Ke Li overall

  1. François Hernandez
  2. Daniel Povey
  3. Kyu J. Han

Papers from Ke Li's perspective

Ordered by how strongly the researchers Ke Li 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. Attention is All you Need (Neural Information Processing Systems)
  3. Long Short-Term Memory
  4. ImageNet classification with deep convolutional neural networks
  5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Understanding the difficulty of training deep feedforward neural networks
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers