Ge Yang

Artificial Intelligence · with Abbeel · 2018–2022

A researcher in the Science corpus: 3 papers; trusts 38 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Ge Yang trusts overall

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

  1. J. Urgen Schmidhuber
  2. Diederik P. Kingma
  3. Chelsea Finn
  4. Richard S. Sutton
  5. Geoffrey E. Hinton
  6. Sergey Levine
  7. Yoshua Bengio
  8. John Schulman
  9. Pieter Abbeel
  10. Alex Krizhevsky

Who trusts Ge Yang overall

  1. Gabriel B. Margolis
  2. Chelsea Finn
  3. Annie Xie
  4. Abhishek Gupta
  5. Sergey Levine
  6. Luisa M. Zintgraf

Papers from Ge Yang's perspective

Ordered by how strongly the researchers Ge Yang 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. GENERATIVE ADVERSARIAL NETS
  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