Alex Xiao

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 62 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Alex Xiao trusts overall

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

  1. Diederik P. Kingma
  2. Alex Graves
  3. Geoffrey E. Hinton
  4. Jimmy Ba
  5. Yoshua Bengio
  6. Kaiming He
  7. Alex Krizhevsky
  8. Ilya Sutskever
  9. Jacob Kahn
  10. Yann LeCun

Who trusts Alex Xiao overall

  1. Wei-Ning Hsu
  2. Benjamin Bolte

Papers from Alex Xiao's perspective

Ordered by how strongly the researchers Alex Xiao 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. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers