Yan Liu

Optimization & Training · with Luo · 2019

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Yan Liu trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Diederik P. Kingma
  4. Yann LeCun
  5. Geoffrey E. Hinton
  6. Sepp Hochreiter
  7. Yoshua Bengio
  8. John C. Duchi
  9. Jimmy Ba
  10. J. Urgen Schmidhuber

Who trusts Yan Liu overall

  1. Anas Barakat
  2. Sharan Vaswani

Papers from Yan Liu's perspective

Ordered by how strongly the researchers Yan 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. Gradient-based learning applied to document recognition
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. ImageNet classification with deep convolutional neural networks
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers