Yuxiang Yang

Reinforcement Learning · with Xu · 2019–2025

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yuxiang Yang trusts overall

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

  1. Sergey Levine
  2. John Schulman
  3. Richard S. Sutton
  4. Pieter Abbeel
  5. Chelsea Finn
  6. Sepp Hochreiter
  7. Diederik P. Kingma
  8. Geoffrey E. Hinton
  9. Erik Talvitie
  10. Yoshua Bengio

Who trusts Yuxiang Yang overall

  1. Julian Ibarz
  2. Sehoon Ha
  3. Jie Tan
  4. Jixiang Guo
  5. Khimya Khetarpal
  6. Philipp Wu
  7. Sergey Levine
  8. Chelsea Finn
  9. Peng Xu
  10. Mingming Gong

Papers from Yuxiang Yang's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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