Brooke Stephenson

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Brooke Stephenson trusts overall

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

  1. Jacob Devlin
  2. Ryuichi Yamamoto
  3. Yu-An Chung
  4. Tomoya Yanagita
  5. Ryan J. Prenger
  6. Wei Fang
  7. Yannick Jadoul
  8. Diederik P. Kingma
  9. Geoffrey E. Hinton
  10. Yoshua Bengio

Who trusts Brooke Stephenson overall

  1. Zhaoxi Mu
  2. Xu Tan
  3. Xinyu Yang
  4. Tao Qin
  5. Yizhuo Dong

Papers from Brooke Stephenson's perspective

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

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

Their papers