Bohan Wu

Reinforcement Learning · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 82 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bohan Wu trusts overall

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

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

Who trusts Bohan Wu overall

  1. Suraj Nair
  2. Michael Ahn

Papers from Bohan Wu's perspective

Ordered by how strongly the researchers Bohan Wu 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. GENERATIVE ADVERSARIAL NETS

Their papers