Lewis Liu

Optimization & Training · 2020

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lewis Liu trusts overall

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

  1. Martin Jaggi
  2. Javier F. Peña
  3. Guanghui Lan
  4. Kenneth L. Clarkson
  5. Yurii E. Nesterov
  6. Alexandre d'Aspremont
  7. Dan Garber
  8. Sebastian Pokutta
  9. David H. Gutman
  10. Francis R. Bach

Papers from Lewis Liu's perspective

Ordered by how strongly the researchers Lewis Liu 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. An algorithm for quadratic programming
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers