Jie Liu

Optimization & Training · with Takác · 2015–2018

A researcher in the Science corpus: 4 papers; trusts 51 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

Whom Jie Liu trusts overall

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

  1. Shai Shalev-Shwartz
  2. Yurii E. Nesterov
  3. James Martens
  4. Tong Zhang
  5. Peter Richtárik
  6. L. Eon Bottou
  7. Alex Krizhevsky
  8. Diederik P. Kingma
  9. John C. Duchi
  10. Yoshua Bengio

Who trusts Jie Liu overall

  1. Peter Richtárik
  2. Samuel Horváth
  3. Albert S. Berahas
  4. Jakub Konecný
  5. Nicolas Loizou
  6. Sai Praneeth Karimireddy
  7. Lam M. Nguyen
  8. Robert Mansel Gower
  9. Dmitry Kovalev
  10. Quoc Tran-Dinh

Papers from Jie Liu's perspective

Ordered by how strongly the researchers Jie Liu 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  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