Min Xiao

Artificial Intelligence · with Guo · 2012–2014

A researcher in the Science corpus: 2 papers; trusts 34 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Min Xiao trusts overall

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

  1. L. Eon Bottou
  2. Ryan T. McDonald
  3. Ronan Collobert
  4. Slav Petrov
  5. Dipanjan Das
  6. Jason Aaron Edward Weston
  7. Yoshua Bengio
  8. Sabine Buchholz
  9. David Yarowsky
  10. Richard Socher

Who trusts Min Xiao overall

  1. Sebastian Ruder
  2. Ivan Vulic
  3. Ting Yao
  4. Takashi Wada
  5. Anders Søgaard
  6. Mikel Artetxe

Papers from Min Xiao's perspective

Ordered by how strongly the researchers Min Xiao 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers