Detai Xin

Artificial Intelligence · 2021–2024

A researcher in the Science corpus: 6 papers; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Detai Xin trusts overall

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

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

Who trusts Detai Xin overall

  1. Ye Jia
  2. Edresson Casanova
  3. Hubert Siuzdak
  4. Yihan Wu
  5. Xu Tan
  6. Sanyuan Chen
  7. Michelle Tadmor Ramanovich
  8. Yuki Saito

Papers from Detai Xin's perspective

Ordered by how strongly the researchers Detai Xin 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers