Bao Wang

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bao Wang trusts overall

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

  1. Shlomo Hoory
  2. Shai Shalev-Shwartz
  3. Sashank J. Reddi
  4. Arkadi Nemirovski

Papers from Bao Wang's perspective

Ordered by how strongly the researchers Bao Wang 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. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. A Stochastic Approximation Method
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. On the importance of initialization and momentum in deep learning
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers