Alex Fang

Artificial Intelligence · 2020–2024

A researcher in the Science corpus: 4 papers; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alex Fang trusts overall

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

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

Who trusts Alex Fang overall

  1. Zeyuan Allen-Zhu
  2. Timothy Nguyen

Papers from Alex Fang's perspective

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

Their papers