Li Li

Artificial Intelligence · with Bottinger · 2015–2020

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Li Li trusts overall

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

  1. Robert Tibshirani
  2. Gunnar E. Carlsson
  3. A. Classification
  4. Yoshua Bengio
  5. Hugo Larochelle
  6. Pascal Vincent
  7. Bryan N. Howie
  8. David M. Blei
  9. Riccardo Bellazzi
  10. Geoffrey E. Hinton

Who trusts Li Li overall

  1. Damini Dey
  2. Riccardo Miotto
  3. Ying Sha
  4. Raquel Dias
  5. Zhengping Che
  6. Edward Choi
  7. Cao Xiao
  8. Fei Wang
  9. Wei Zhang
  10. Harini Suresh

Papers from Li Li's perspective

Ordered by how strongly the researchers Li 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. This PDF file includes: Materials and Methods
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers