Kaidi Xu

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 5 papers; trusts 53 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kaidi Xu 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. Ross B. Girshick
  6. Yoshua Bengio
  7. Nicholas Carlini
  8. Yann LeCun
  9. Christian Szegedy
  10. Ian J. Goodfellow

Who trusts Kaidi Xu overall

  1. Naveed Akhtar
  2. Lichao Sun
  3. Shiqi Wang
  4. Marinka Zitnik
  5. Linfeng Zhang

Papers from Kaidi Xu's perspective

Ordered by how strongly the researchers Kaidi Xu 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers