Yuanqi Du

Computational Theory and Mathematics · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 77 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuanqi Du trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Max Welling
  6. Yann LeCun
  7. Sepp Hochreiter
  8. Kaiming He
  9. Ilya Sutskever
  10. Yang Song

Papers from Yuanqi Du's perspective

Ordered by how strongly the researchers Yuanqi Du 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. GENERATIVE ADVERSARIAL NETS
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers