Zi Lin

Artificial Intelligence · with Li · 2020–2023

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zi Lin trusts overall

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

  1. Geoffrey E. Hinton
  2. Yann LeCun
  3. Alex Krizhevsky
  4. David John Cameron MacKay
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Radford M. Neal
  8. Kaiming He
  9. Andrey Malinin
  10. Ilya Sutskever

Who trusts Zi Lin overall

  1. Stanislav Fort
  2. Jie Jessie Ren

Papers from Zi Lin's perspective

Ordered by how strongly the researchers Zi Lin 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  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