Teddy Lee

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Teddy Lee trusts overall

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

  1. Yaroslav Ganin
  2. Christian Szegedy

Papers from Teddy Lee's perspective

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

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

Their papers