Gyemin Lee

Artificial Intelligence · 2010–2017

A researcher in the Science corpus: 3 papers; trusts 41 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Gyemin Lee trusts overall

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

  1. R. Caruana
  2. Peter L. Bartlett
  3. Sebastian Thrun
  4. Bernhard Schölkopf
  5. John D. Storey
  6. Ingo Steinwart
  7. Jonathan Baxter
  8. Jaka Demsar
  9. Zhiyi Chi
  10. Arthur Gretton

Who trusts Gyemin Lee overall

  1. Marthinus Christoffel du Plessis
  2. Krikamol Muandet
  3. Anastasia Pentina
  4. Gang Niu
  5. Aniket Anand Deshmukh
  6. Kaiyang Zhou
  7. Masashi Sugiyama
  8. Yusuke Iwasawa
  9. Efrén Cruz Cortés
  10. Jindong Wang

Papers from Gyemin Lee's perspective

Ordered by how strongly the researchers Gyemin Lee 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  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