Chris Ying

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 38 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Chris Ying trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Frank Hutter
  5. Christian Szegedy
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Ilya Loshchilov
  9. Katharina Eggensperger
  10. László Babai

Who trusts Chris Ying overall

  1. Colin White
  2. Xuanyi Dong
  3. Linnan Wang
  4. Frank Hutter
  5. Aaron Klein
  6. Esteban Real
  7. Renqian Luo
  8. Sam Nolen
  9. Arber Zela
  10. Julien N. Siems

Papers from Chris Ying's perspective

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

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

Their papers