Youngduck Choi

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 4 papers; trusts 87 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Youngduck Choi trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Jimmy Ba
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Ilya Sutskever
  7. Kaiming He
  8. Yann LeCun
  9. Xavier Glorot
  10. Ruslan Salakhutdinov

Who trusts Youngduck Choi overall

  1. Ghodai M. Abdelrahman
  2. Andrey Voynov
  3. Mikhail Khodak
  4. Weihao Xia
  5. Jaewoong Choi
  6. Yuxiang Wei

Papers from Youngduck Choi's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers