Il-Chul Moon

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 7 papers; trusts 617 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Il-Chul Moon trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Yann LeCun
  6. Ruslan Salakhutdinov
  7. Kaiming He
  8. Max Welling
  9. Ilya Sutskever
  10. Radford M. Neal

Papers from Il-Chul Moon's perspective

Ordered by how strongly the researchers Il-Chul Moon 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  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