Aston Zhang

Artificial Intelligence · 2016–2023

A researcher in the Science corpus: 10 papers; trusts 396 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Aston Zhang trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Ross B. Girshick
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Diederik P. Kingma
  7. Kaiming He
  8. Ilya Sutskever
  9. David G. Lowe
  10. Christian Szegedy

Who trusts Aston Zhang overall

  1. Maithra Raghu
  2. Guohao Li
  3. Johannes von Oswald
  4. Jie Huang
  5. Lukas Hedegaard
  6. Chenfei Wu
  7. Yi Tay
  8. Shukang Yin
  9. Qingxiu Dong
  10. Erica Schmidt

Papers from Aston Zhang's perspective

Ordered by how strongly the researchers Aston Zhang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers