Zhiqiang Liu

Optimization & Training · with Chen · 2019

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhiqiang Liu trusts overall

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

  1. James Martens
  2. Geoffrey E. Hinton
  3. L. Eon Bottou
  4. Diederik P. Kingma
  5. Jorge Nocedal
  6. Boris Polyak
  7. Kaiming He
  8. Yann LeCun
  9. Ilya Sutskever
  10. Yoshua Bengio

Papers from Zhiqiang Liu's perspective

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