Holden Lee

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Holden Lee trusts overall

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

  1. Diederik P. Kingma
  2. Elad Hazan
  3. Yoshua Bengio
  4. Danilo Jimenez Rezende
  5. L. Eon Bottou
  6. Geoffrey E. Hinton
  7. Martín Arjovsky
  8. Max Welling
  9. Ronen Eldan
  10. Alex Krizhevsky

Who trusts Holden Lee overall

  1. Alessandro Achille
  2. Jakub Marecek

Papers from Holden Lee's perspective

Ordered by how strongly the researchers Holden 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. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers