Mark G. Lee

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mark G. Lee trusts overall

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

  1. Michael Collins
  2. George A. Miller
  3. Yoon Kim
  4. Xin Li
  5. Rada Mihalcea
  6. Dan Shen
  7. Christopher D. Manning
  8. Zhiheng Huang
  9. Collin F. Baker
  10. João Pedro Carlos Gomes da Silva

Papers from Mark G. Lee's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers