Xuemin Hu

Reinforcement Learning · 2018–2023

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xuemin Hu trusts overall

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

  1. Richard S. Sutton
  2. Andrew Y. Ng
  3. Geoffrey E. Hinton
  4. Pieter Abbeel
  5. Andrew Barto
  6. Diederik P. Kingma
  7. Jonathan Ho
  8. Yoshua Bengio
  9. Alex Krizhevsky
  10. John Schulman

Who trusts Xuemin Hu overall

  1. Siyu Teng

Papers from Xuemin Hu's perspective

Ordered by how strongly the researchers Xuemin Hu 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  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