Daniel D. Lee

Artificial Intelligence · with Seung · 1997–2026

A researcher in the Science corpus: 7 papers; trusts 11 researchers and is trusted by 493 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel D. Lee trusts overall

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

  1. Arthur P. Dempster
  2. David J. Field
  3. Geoffrey E. Hinton
  4. Yuhai Wu
  5. E. Gardner
  6. Jia Deng
  7. Nan M. Laird
  8. Christian Szegedy
  9. Yoshua Bengio
  10. Matthew A. Turk

Who trusts Daniel D. Lee overall

  1. Francis R. Bach
  2. Chris H. Q. Ding
  3. Yongfeng Zhang
  4. Deng Cai
  5. Julien Mairal
  6. Jingu Kim
  7. Dacheng Tao
  8. Patrik O. Hoyer
  9. Haesun Park
  10. Paris Smaragdis

Papers from Daniel D. Lee's perspective

Ordered by how strongly the researchers Daniel D. 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. Going deeper with convolutions
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers