Lin Tan

Artificial Intelligence · with Lutellier · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 37 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Lin Tan trusts overall

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

  1. Miltiadis Allamanis
  2. Claire Le Goues
  3. Martin White
  4. Fan Long
  5. Georgios Gousios
  6. Yoshua Bengio
  7. Geoffrey E. Hinton
  8. Diederik P. Kingma
  9. Ilya Sutskever
  10. Alex Krizhevsky

Who trusts Lin Tan overall

  1. Hammond A. Pearce
  2. Chun Xia
  3. Lingming Zhang
  4. Baleegh Ahmad

Papers from Lin Tan's perspective

Ordered by how strongly the researchers Lin Tan trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet: A large-scale hierarchical image database

Their papers