Lan Jiang

Artificial Intelligence · with Belinkov · 2019

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lan Jiang trusts overall

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

  1. Stephen Merity
  2. Yoshua Bengio
  3. Richard Socher
  4. Geoffrey E. Hinton
  5. Tomas Mikolov
  6. Dzmitry Bahdanau
  7. Diederik P. Kingma
  8. Ilya Sutskever
  9. Alex Krizhevsky
  10. Yann LeCun

Papers from Lan Jiang's perspective

Ordered by how strongly the researchers Lan Jiang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers