Leonard Tang

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Leonard Tang trusts overall

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

  1. Rik Koncel-Kedziorski
  2. Dan Hendrycks
  3. Subhro Roy
  4. Aida Amini
  5. Yan Wang
  6. Geoffrey E. Hinton
  7. Diederik P. Kingma
  8. Yoshua Bengio
  9. Alex Krizhevsky
  10. Ilya Sutskever

Who trusts Leonard Tang overall

  1. Yujia Li

Papers from Leonard Tang's perspective

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

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

Their papers