Brian Lester

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 5 papers; trusts 276 researchers and is trusted by 278 researchers here, as inferred from the citation graph.

Subfields

Whom Brian Lester trusts overall

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

  1. Noam Shazeer
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alec Radford
  5. Diederik P. Kingma
  6. Ilya Sutskever
  7. Alex Krizhevsky
  8. Jacob Devlin
  9. Yann LeCun
  10. Alex Graves

Who trusts Brian Lester overall

  1. Yi-Lin Sung
  2. Xiao Liu
  3. Yi Tay
  4. Tu Vu
  5. Boshi Wang
  6. Renrui Zhang
  7. Hyojin Bahng
  8. Xiang Lisa Li
  9. Barret Zoph
  10. Luke S. Zettlemoyer

Papers from Brian Lester's perspective

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

Their papers