Niannan Xue

Artificial Intelligence · 2020

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

Subfields

Whom Niannan Xue trusts overall

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

  1. Steffen Rendle
  2. Xiangnan He
  3. Geoffrey E. Hinton
  4. Karen Simonyan
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Kaiming He
  8. Andy Liaw
  9. Weinan Zhang
  10. Diederik P. Kingma

Papers from Niannan Xue's perspective

Ordered by how strongly the researchers Niannan Xue 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. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers