Yide Shentu

Reinforcement Learning · 2018–2023

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yide Shentu trusts overall

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

  1. Bruno Siciliano
  2. Diederik P. Kingma
  3. J. Urgen Schmidhuber

Papers from Yide Shentu's perspective

Ordered by how strongly the researchers Yide Shentu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Stochastic Backpropagation and Approximate Inference in Deep Generative Models
  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