Ying Zhang

Artificial Intelligence · with Bengio · 2016

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Ying Zhang trusts overall

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

  1. Alex Graves
  2. Diederik P. Kingma
  3. Hugo Larochelle
  4. Yoshua Bengio
  5. Geoffrey E. Hinton
  6. Dzmitry Bahdanau
  7. Jimmy Ba
  8. Aäron van den Oord
  9. Ilya Sutskever
  10. Alex Krizhevsky

Who trusts Ying Zhang overall

  1. Gabriel Recchia
  2. Theofanis Karaletsos
  3. David Donahue

Papers from Ying Zhang's perspective

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

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

Their papers