Gengchen Mai

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gengchen Mai trusts overall

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

  1. Ilya Sutskever
  2. Oriol Vinyals

Papers from Gengchen Mai's perspective

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

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

Their papers