Yin Tat Lee

Artificial Intelligence · 2013–2025

A researcher in the Science corpus: 19 papers; trusts 85 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Yin Tat Lee trusts overall

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

  1. Yurii E. Nesterov
  2. Daniel A. Spielman
  3. Jonathan A. Kelner
  4. Michael W. Mahoney
  5. Alexander Schrijver
  6. Sanjeev Arora
  7. Jelani Nelson
  8. Peter Richtárik
  9. Arkadi Nemirovski
  10. Thomas Strohmer

Who trusts Yin Tat Lee overall

  1. Nicolas Loizou
  2. Mengdi Wang
  3. Peter Richtárik
  4. Stephen J. Wright
  5. Zeyuan Allen-Zhu
  6. Lin Xiao
  7. Olivier Fercoq
  8. Michael B. Cohen
  9. Chi Jin
  10. Aaron Sidford

Papers from Yin Tat Lee's perspective

Ordered by how strongly the researchers Yin Tat 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers