Qi Li

Artificial Intelligence · with Li · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qi Li trusts overall

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

  1. Yehuda Koren
  2. Diederik P. Kingma
  3. Kaiming He
  4. Ruslan Salakhutdinov
  5. Yoshua Bengio
  6. Geoffrey E. Hinton
  7. Xiangnan He
  8. Xavier Glorot
  9. Alex Krizhevsky
  10. Jimmy Ba

Papers from Qi Li's perspective

Ordered by how strongly the researchers Qi Li 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  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