Seunghak Lee

Artificial Intelligence · 2010–2017

A researcher in the Science corpus: 7 papers; trusts 29 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Seunghak Lee trusts overall

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

  1. Robert Tibshirani
  2. Hui Zou
  3. Jerome H. Friedman
  4. Tong Tong Wu
  5. Rachel B. Brem
  6. T. Griffiths
  7. Trevor Park
  8. Amr Ahmed
  9. Michael I. Jordan
  10. Honglak Lee

Who trusts Seunghak Lee overall

  1. Yu Zhang
  2. Eric P. Xing
  3. Wei Dai
  4. Henggang Cui
  5. Cong Xie
  6. Xin Wang
  7. Jie Gui
  8. Qiang Yang
  9. Guanhua Wang
  10. Jay H. Park

Papers from Seunghak Lee's perspective

Ordered by how strongly the researchers Seunghak Lee 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. 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