Tianyang Lin

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 204 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tianyang Lin trusts overall

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

  1. Geoffrey E. Hinton
  2. Ilya Sutskever
  3. Noam Shazeer
  4. Alex Graves
  5. Yoshua Bengio
  6. Kaiming He
  7. Diederik P. Kingma
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Ashish Vaswani

Who trusts Tianyang Lin overall

  1. Zitong Yu

Papers from Tianyang Lin's perspective

Ordered by how strongly the researchers Tianyang Lin 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers