Albert Webson

Artificial Intelligence · 2021–2024

A researcher in the Science corpus: 10 papers; trusts 126 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Albert Webson trusts overall

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

  1. Timo Schick
  2. Noam Shazeer
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Ilya Sutskever
  7. Alex Krizhevsky
  8. Hinrich Schütze
  9. Yann LeCun
  10. Kaiming He

Who trusts Albert Webson overall

  1. Timo Schick
  2. Xi Ye
  3. Swaroop Mishra
  4. Hinrich Schütze
  5. Man Luo
  6. Or Honovich
  7. Stephanie C. Y. Chan
  8. Andrew Kyle Lampinen
  9. Greg Durrett
  10. Tim Dettmers

Papers from Albert Webson's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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