Shaofei Cai

Artificial Intelligence · 2021–2026

A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shaofei Cai trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Emmanuel Abbe
  6. Diederik P. Kingma
  7. Kaiming He
  8. Ilya Sutskever
  9. L. Eon Bottou
  10. Quoc V. Le

Who trusts Shaofei Cai overall

  1. Kaixiong Zhou
  2. Geunwoo Kim
  3. Noah Shinn

Papers from Shaofei Cai's perspective

Ordered by how strongly the researchers Shaofei Cai 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers