Chao Yu

Reinforcement Learning · with Wang · 2018–2021

A researcher in the Science corpus: 4 papers; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chao Yu trusts overall

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

  1. John Schulman
  2. Jakob N. Foerster
  3. Pieter Abbeel
  4. Geoffrey E. Hinton
  5. Tabish Rashid
  6. Richard S. Sutton
  7. Sergey Levine
  8. Diederik P. Kingma
  9. Hengyuan Hu
  10. Yoshua Bengio

Who trusts Chao Yu overall

  1. Jakub Grudzien Kuba
  2. Georgios Papoudakis
  3. Yuanfei Wang
  4. Wenhao Li
  5. Xieyuanli Chen
  6. Muning Wen
  7. Shiyu Huang

Papers from Chao Yu's perspective

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

Their papers