Lisha Li

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 4 papers; trusts 63 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom Lisha Li trusts overall

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

  1. Alex Krizhevsky
  2. Frank Hutter
  3. James Bergstra
  4. Yoshua Bengio
  5. Jasper Snoek
  6. Kevin G. Jamieson
  7. Kevin Swersky
  8. Katharina Eggensperger
  9. Geoffrey E. Hinton
  10. Hugo Larochelle

Who trusts Lisha Li overall

  1. Aaron Klein
  2. Frank Hutter
  3. Xuanyi Dong
  4. Stefan Falkner
  5. Liam Li
  6. Marc-André Zöller
  7. Matthias Feurer
  8. Tonmoy Saikia
  9. Nicoló Fusi
  10. Thomas Elsken

Papers from Lisha Li's perspective

Ordered by how strongly the researchers Lisha 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. Attention is All you Need (Neural Information Processing Systems)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  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