Patrick Xia

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 65 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Patrick Xia trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Sepp Hochreiter
  6. Tomas Mikolov
  7. Richard Socher
  8. Alex Krizhevsky
  9. J. Urgen Schmidhuber
  10. Yann LeCun

Who trusts Patrick Xia overall

  1. Yonatan Belinkov
  2. Yada Pruksachatkun
  3. R. Thomas McCoy
  4. Jonathan Pilault
  5. Keita Kurita
  6. Kellie Webster
  7. John Hewitt
  8. Vered Shwartz
  9. Tiago Pimentel
  10. Jason Phang

Papers from Patrick Xia's perspective

Ordered by how strongly the researchers Patrick Xia 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. Long Short-Term Memory
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet classification with deep convolutional neural networks
  6. ImageNet: A large-scale hierarchical image database
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  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