Xin Lin

Artificial Intelligence · with Wang · 2021

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xin Lin trusts overall

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

  1. Lei Wang
  2. Subhro Roy
  3. Yan Wang
  4. Kaiming He
  5. Rik Koncel-Kedziorski
  6. Christopher D. Manning
  7. Tomas Mikolov
  8. Nate Kushman
  9. Ilya Sutskever
  10. Dongxiang Zhang

Papers from Xin Lin's perspective

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

  1. Long Short-Term Memory
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Gradient-based learning applied to document recognition

Their papers