Weixun Wang

Reinforcement Learning · 2019

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Weixun Wang trusts overall

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

  1. Volodymyr Mnih
  2. Richard S. Sutton
  3. Sanmit Narvekar
  4. John Schulman
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Tabish Rashid
  8. Diederik P. Kingma
  9. Alex Graves
  10. Mikayel Samvelyan

Who trusts Weixun Wang overall

  1. Tabish Rashid
  2. Mikayel Samvelyan
  3. Tonghan Wang
  4. Christian Schröder de Witt
  5. Shimon Whiteson

Papers from Weixun Wang's perspective

Ordered by how strongly the researchers Weixun 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  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. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers