Seungjin Choi

Artificial Intelligence · 2000–2019

A researcher in the Science corpus: 7 papers; trusts 289 researchers and is trusted by 50 researchers here, as inferred from the citation graph.

Subfields

Whom Seungjin Choi trusts overall

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

  1. Jean-François Cardoso
  2. Andrzej S. Cichocki
  3. Shun-ichi Amari
  4. Diederik P. Kingma
  5. Geoffrey E. Hinton
  6. Anthony J. Bell
  7. Wolfram Liebermeister
  8. Antoine Souloumiac
  9. Alex Krizhevsky
  10. Lang Tong

Who trusts Seungjin Choi overall

  1. Yi Luo
  2. Yangyang Xu
  3. Soo-Young Lee
  4. Jose Antonio Urigüen
  5. Eliya Nachmani
  6. Han-Jia Ye
  7. Andrzej S. Cichocki
  8. Wotao Yin
  9. Begonya García-Zapirain Soto
  10. Nima Mesgarani

Papers from Seungjin Choi's perspective

Ordered by how strongly the researchers Seungjin Choi 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  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. Learning Multiple Layers of Features from Tiny Images

Their papers