Beier Zhu

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 80 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Beier Zhu trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Jia Deng
  7. Yann LeCun
  8. Ilya Sutskever
  9. Ross B. Girshick
  10. Oriol Vinyals

Papers from Beier Zhu's perspective

Ordered by how strongly the researchers Beier Zhu 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. ImageNet classification with deep convolutional neural networks
  3. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers