Lisa Lee

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 188 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Lisa Lee trusts overall

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

  1. J. Urgen Schmidhuber
  2. Sergey Levine
  3. Radford M. Neal
  4. Geoffrey E. Hinton
  5. Pieter Abbeel
  6. Diederik P. Kingma
  7. John Schulman
  8. Alex Krizhevsky
  9. Yoshua Bengio
  10. Richard S. Sutton

Who trusts Lisa Lee overall

  1. Seyed Kamyar Seyed Ghasemipour
  2. Beren Millidge
  3. Danijar Hafner
  4. Víctor Campos
  5. Longlong Jing
  6. Vincent Le Guen
  7. Abdul Jabbar
  8. Lukás Neumann
  9. Benjamin Eysenbach
  10. Zhangyang Gao

Papers from Lisa Lee's perspective

Ordered by how strongly the researchers Lisa Lee 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. GENERATIVE ADVERSARIAL NETS

Their papers