Inna Wanyin Lin

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Inna Wanyin Lin trusts overall

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

  1. Ashish Sharma
  2. Jacob Devlin
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Yinhan Liu
  7. Ilya Sutskever
  8. Moin Nadeem
  9. Ming-Wei Chang
  10. Alex Krizhevsky

Who trusts Inna Wanyin Lin overall

  1. Ashish Sharma

Papers from Inna Wanyin Lin's perspective

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

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

Their papers