Lewis Tunstall

Artificial Intelligence · 2021–2025

A researcher in the Science corpus: 6 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lewis Tunstall trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Jacob Devlin
  4. Diederik P. Kingma
  5. Gregory R. Koch
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Timo Schick
  9. Yann LeCun
  10. Jimmy Ba

Who trusts Lewis Tunstall overall

  1. Yu Meng
  2. Jiwoo Hong
  3. Zixiang Chen
  4. Nathan Lambert
  5. Xiaohan Xu

Papers from Lewis Tunstall's perspective

Ordered by how strongly the researchers Lewis Tunstall 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers