Isabella Shields

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Isabella Shields trusts overall

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

  1. Tomas Mikolov
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Yoon Kim
  5. Edouard Grave
  6. Armand Joulin
  7. D. R. Cox
  8. Piotr Bojanowski
  9. Yoshua Bengio
  10. Alex Krizhevsky

Papers from Isabella Shields's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Dropout: a simple way to prevent neural networks from overfitting
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. Efficient Estimation of Word Representations in Vector Space

Their papers