Tony Zhao

Artificial Intelligence · 2020–2024

A researcher in the Science corpus: 8 papers; trusts 263 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Tony Zhao trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Yann LeCun
  5. Richard Socher
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Kaiming He
  9. Chelsea Finn
  10. Sergey Levine

Who trusts Tony Zhao overall

  1. Swaroop Mishra
  2. Sewon Min
  3. Xi Ye
  4. Zipeng Fu
  5. Ruiqi Zhong
  6. Daniel Khashabi
  7. Jason Wei
  8. Hannaneh Hajishirzi
  9. Michael Lewis
  10. Greg Durrett

Papers from Tony Zhao's perspective

Ordered by how strongly the researchers Tony Zhao 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers