Youngwoon Lee

Artificial Intelligence · 2012–2023

A researcher in the Science corpus: 6 papers; trusts 227 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Youngwoon Lee trusts overall

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

  1. Diederik P. Kingma
  2. Sergey Levine
  3. Richard S. Sutton
  4. John Schulman
  5. Geoffrey E. Hinton
  6. E. Todorov
  7. Yoshua Bengio
  8. Alex Krizhevsky
  9. Pieter Abbeel
  10. Tuomas Haarnoja

Who trusts Youngwoon Lee overall

  1. Sven Gronauer
  2. Jiechuan Jiang
  3. Jordi Salvador
  4. Jingdong Wang
  5. Cheng Deng
  6. Zongqing Lu
  7. Klaus-Jürgen Diepold
  8. Taewook Nam
  9. Luca Weihs
  10. Shao-Hua Sun

Papers from Youngwoon Lee's perspective

Ordered by how strongly the researchers Youngwoon 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers