Ruohan Wang

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Ruohan Wang trusts overall

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

  1. Andrew Y. Ng
  2. Pieter Abbeel
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Sergey Levine
  6. John Schulman
  7. Diederik P. Kingma
  8. Yoshua Bengio
  9. Jonathan Ho
  10. Bernhard Schölkopf

Who trusts Ruohan Wang overall

  1. Robert Dadashi
  2. L'eonard Hussenot
  3. Minghuan Liu
  4. Matthieu Geist
  5. Tairan He
  6. Damien Vincent

Papers from Ruohan Wang's perspective

Ordered by how strongly the researchers Ruohan Wang 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. GENERATIVE ADVERSARIAL NETS
  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