Ning Chen

Artificial Intelligence · with Zhu · 2011–2019

A researcher in the Science corpus: 3 papers; trusts 57 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ning Chen trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Alex Krizhevsky
  4. Yee Whye Teh
  5. Yoshua Bengio
  6. Yann LeCun
  7. Michael I. Jordan
  8. Kaiming He
  9. Karen Simonyan
  10. Radford M. Neal

Who trusts Ning Chen overall

  1. Jun Zhu
  2. Mrinmaya Sachan

Papers from Ning Chen's perspective

Ordered by how strongly the researchers Ning 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers