Seanie Lee

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 77 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Seanie Lee trusts overall

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

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

Who trusts Seanie Lee overall

  1. Yang Zhang
  2. Xu Tan

Papers from Seanie Lee's perspective

Ordered by how strongly the researchers Seanie Lee 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. GENERATIVE ADVERSARIAL NETS

Their papers