Yuxuan Yang

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuxuan Yang trusts overall

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

  1. Yoshua Bengio
  2. L. Eon Bottou
  3. Geoffrey E. Hinton
  4. Sergey Ioffe
  5. Kaiming He
  6. Xavier Glorot
  7. Vinod Nair

Papers from Yuxuan Yang's perspective

Ordered by how strongly the researchers Yuxuan Yang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Rectified Linear Units Improve Restricted Boltzmann Machines
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Understanding the difficulty of training deep feedforward neural networks
  10. ImageNet: A large-scale hierarchical image database

Their papers