Hattie Zhou

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Hattie Zhou trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Ilya Sutskever
  4. Yoshua Bengio
  5. Geoffrey E. Hinton
  6. Diederik P. Kingma
  7. Kaiming He
  8. Lukasz Kaiser
  9. Jonathan Frankle
  10. Alex Graves

Who trusts Hattie Zhou overall

  1. Adam Gaier
  2. Eugene Lee
  3. Evani Radiya-Dixit
  4. Vivek Ramanujan
  5. Mitchell Wortsman
  6. Jonathan Frankle
  7. Jie Huang
  8. Xiao Zhou
  9. Haeyong Kang
  10. David R Ha

Papers from Hattie Zhou's perspective

Ordered by how strongly the researchers Hattie Zhou 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers