Do Kook Choe

Artificial Intelligence · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 37 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Do Kook Choe trusts overall

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

  1. Geoffrey E. Hinton
  2. Ilya Sutskever
  3. Oriol Vinyals
  4. Slav Petrov
  5. Yoshua Bengio
  6. Alex Graves
  7. Wojciech Zaremba
  8. Frederic Morin
  9. Mounir Ben Nasr
  10. Eugene Charniak

Who trusts Do Kook Choe overall

  1. Dan Otter
  2. Kevin Clark
  3. A. Kuncoro
  4. Ethan Gotlieb Wilcox
  5. Ashia C. Wilson
  6. Giovanni Paolini
  7. Daniel Fried
  8. Chris Dyer
  9. Mitchell Stern
  10. Julian R. Medina

Papers from Do Kook Choe's perspective

Ordered by how strongly the researchers Do Kook Choe 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers