Hannah Brown

Artificial Intelligence · 2022

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

Subfields

Whom Hannah Brown trusts overall

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

  1. Cynthia Dwork
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Congzheng Song
  6. Diederik P. Kingma
  7. Ilya Sutskever
  8. Yann LeCun
  9. Kaiming He
  10. Alex Graves

Who trusts Hannah Brown overall

  1. Jie Huang
  2. Hanyin Shao
  3. Irene Solaiman
  4. Nicholas Carlini

Papers from Hannah Brown's perspective

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

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

Their papers