Yushu Chen

Optimization & Training · 2001–2021

A researcher in the Science corpus: 7 papers; trusts 19 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yushu Chen trusts overall

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

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

Who trusts Yushu Chen overall

  1. Qin Gao

Papers from Yushu Chen's perspective

Ordered by how strongly the researchers Yushu Chen 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. Long Short-Term Memory
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  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