Jenny Liu

Artificial Intelligence · with Ba · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jenny Liu trusts overall

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

  1. Laurent Dinh
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Danilo Jimenez Rezende
  6. Thomas Kipf
  7. Max Welling
  8. Yujia Li
  9. Prithviraj Sen
  10. Alex Krizhevsky

Who trusts Jenny Liu overall

  1. Jaehyeong Jo
  2. Victor Garcia Satorras
  3. Jonas Köhler
  4. Megha Nawhal
  5. Chence Shi
  6. Chenhao Niu
  7. Emiel Hoogeboom
  8. Seul Lee
  9. Leon Klein
  10. Lili Meng

Papers from Jenny Liu's perspective

Ordered by how strongly the researchers Jenny Liu 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. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers