Jia-lin Xu

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jia-lin Xu trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. David Burth Kurka
  4. Andriy Mnih
  5. Dzmitry Bahdanau
  6. Johannes Ballé
  7. Yoshua Bengio
  8. Geoffrey E. Hinton
  9. X. Zhang
  10. Diederik P. Kingma

Who trusts Jia-lin Xu overall

  1. Danlan Huang
  2. Jincheng Dai

Papers from Jia-lin Xu's perspective

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

Their papers