Hoshik Lee

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Hoshik Lee trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Graves
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Ilya Sutskever
  6. J. Urgen Schmidhuber
  7. Oriol Vinyals
  8. Daniel Povey
  9. Yann LeCun
  10. Brian Kingsbury

Who trusts Hoshik Lee overall

  1. Mirco Ravanelli
  2. Yarin Gal
  3. Dmitriy Serdyuk
  4. Shimi Salant

Papers from Hoshik Lee's perspective

Ordered by how strongly the researchers Hoshik Lee trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Dropout: a simple way to prevent neural networks from overfitting

Their papers