Richard He Bai

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 4 papers; trusts 58 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Richard He Bai trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Ilya Sutskever
  5. Alex Krizhevsky
  6. Jacob Devlin
  7. Richard Socher
  8. Alec Radford
  9. Yann LeCun
  10. Alex Graves

Who trusts Richard He Bai overall

  1. Zhijun Liu
  2. Matt Le
  3. Alexander H. Liu
  4. Yushen Chen
  5. Xiaofei Wang
  6. Ziyue Jiang
  7. Apoorv Vyas
  8. Yiwei Guo

Papers from Richard He Bai's perspective

Ordered by how strongly the researchers Richard He Bai 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. Attention is All you Need (Neural Information Processing Systems)
  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. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers