Liam Li

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 203 researchers and is trusted by 80 researchers here, as inferred from the citation graph.

Subfields

Whom Liam Li trusts overall

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

  1. Alex Krizhevsky
  2. Yoshua Bengio
  3. Frank Hutter
  4. Geoffrey E. Hinton
  5. Barret Zoph
  6. Aaron Klein
  7. Kevin G. Jamieson
  8. Quoc V. Le
  9. Ilya Sutskever
  10. Stefan Falkner

Who trusts Liam Li overall

  1. Colin White
  2. Xuanyi Dong
  3. Arber Zela
  4. Miao Zhang
  5. Soma Minami
  6. Julien N. Siems
  7. Stella Biderman
  8. Bo Zhao
  9. Frank Hutter
  10. Xin He

Papers from Liam Li's perspective

Ordered by how strongly the researchers Liam Li trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers