Le Hou

Artificial Intelligence · with Wang · 2022–2023

A researcher in the Science corpus: 7 papers; trusts 23 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Le Hou trusts overall

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

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

Who trusts Le Hou overall

  1. Jie Huang
  2. Kumar Shridhar
  3. Yizhong Wang
  4. Jason Wei
  5. Richard Ngo
  6. Tim Dettmers
  7. Yi Tay
  8. Yongrui Chen
  9. Kevin Chen-Chuan Chang
  10. Zhuosheng Zhang

Papers from Le Hou's perspective

Ordered by how strongly the researchers Le Hou trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  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