Sen Yang

Optimization & Training · with Yu · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 100 researchers and is trusted by 76 researchers here, as inferred from the citation graph.

Subfields

Whom Sen Yang trusts overall

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

  1. Xiangru Lian
  2. Alex Krizhevsky
  3. Sebastian U. Stich
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Yann LeCun
  7. Kaiming He
  8. Zhanhong Jiang
  9. Hang Su
  10. Martin A. Zinkevich

Who trusts Sen Yang overall

  1. Jianyu Wang
  2. Farzin Haddadpour
  3. Cong Xie
  4. Xiang Li
  5. Gauri Joshi
  6. Hao Yu
  7. Tian Li
  8. Dmitrii Avdiukhin
  9. Ahmed Khaled
  10. Xinwei Zhang

Papers from Sen Yang's perspective

Ordered by how strongly the researchers Sen Yang 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  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