Lala Li

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 6 papers; trusts 782 researchers and is trusted by 107 researchers here, as inferred from the citation graph.

Subfields

Whom Lala Li trusts overall

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

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

Who trusts Lala Li overall

  1. Chitwan Saharia
  2. William Chan
  3. Ting-Li Chen
  4. Allan Jabri
  5. Geoffrey E. Hinton
  6. Mohammad Norouzi
  7. Jiasen Lu
  8. Saurabh Saxena
  9. Zhengyuan Yang
  10. David J. Fleet

Papers from Lala Li's perspective

Ordered by how strongly the researchers Lala 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. 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers