In-Beum Lee

Control and Systems Engineering · 2004–2017

A researcher in the Science corpus: 9 papers; trusts 3 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom In-Beum Lee trusts overall

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

  1. Aapo Hyvärinen

Who trusts In-Beum Lee overall

  1. Qingchao Jiang
  2. Zhiqiang Ge
  3. S. Qin
  4. Xue-feng Yan
  5. Shen Yin
  6. Jie Yu
  7. Ying-wei Zhang

Papers from In-Beum Lee's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. GENERATIVE ADVERSARIAL NETS
  4. Gradient-based learning applied to document recognition
  5. This PDF file includes: Materials and Methods
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. ImageNet classification with deep convolutional neural networks
  8. Learning Multiple Layers of Features from Tiny Images
  9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  10. Learning Deep Architectures for AI

Their papers