Chaoxu Mu

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chaoxu Mu trusts overall

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

  1. Yoshua Bengio
  2. L. Eon Bottou
  3. Geoffrey E. Hinton

Papers from Chaoxu Mu's perspective

Ordered by how strongly the researchers Chaoxu Mu 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. Rectified Linear Units Improve Restricted Boltzmann Machines
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Understanding the difficulty of training deep feedforward neural networks
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Identity Mappings in Deep Residual Networks
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers