Jing Ying

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Ying trusts overall

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

  1. Glen Jeh
  2. Yoshua Bengio
  3. Ilya Sutskever
  4. Sepp Hochreiter
  5. Geoffrey E. Hinton
  6. Quoc V. Le

Papers from Jing Ying's perspective

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

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers