Yuan You

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuan You trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Diederik P. Kingma (in Artificial Intelligence)
  4. Karen Simonyan (in Computer Vision and Pattern Recognition)

Papers from Yuan You's perspective

Ordered by how strongly the researchers Yuan You trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. Dropout: a simple way to prevent neural networks from overfitting
  4. A Simple Framework for Contrastive Learning of Visual Representations (International Conference on Machine Learning)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
  9. Long Short-Term Memory
  10. Gradient-based learning applied to document recognition

Their papers