Li Lu

Artificial Intelligence · with Li · 2021

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Li Lu trusts overall

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

  1. Diederik P. Kingma
  2. Jean-Marc Valin
  3. Geoffrey E. Hinton
  4. Alex Graves
  5. Yuxuan Wang
  6. Wei Ping
  7. Jimmy Ba
  8. Yu Zhang
  9. Yoshua Bengio
  10. Aäron van den Oord

Papers from Li Lu's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet classification with deep convolutional neural networks
  8. WaveNet: A Generative Model for Raw Audio
  9. Gradient-based learning applied to document recognition
  10. Generating Sequences With Recurrent Neural Networks

Their papers