Jiachen Yang

Reinforcement Learning · 2017–2019

A researcher in the Science corpus: 5 papers; trusts 79 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jiachen Yang trusts overall

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

  1. Richard S. Sutton
  2. Michael L. Littman
  3. Geoffrey E. Hinton
  4. Ming Tan
  5. Andrew Y. Ng
  6. Andrew Barto
  7. Doina Precup
  8. Olivier Guéant
  9. David Silver
  10. Mohit Sewak

Who trusts Jiachen Yang overall

  1. Jiechuan Jiang
  2. Tonghan Wang
  3. Zongqing Lu
  4. Igor Borovikov
  5. Hongyuan Zha
  6. Tarun Gupta
  7. Yaodong Yang

Papers from Jiachen Yang's perspective

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