Yi-Chung Lin

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yi-Chung Lin trusts overall

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

  1. Chih-Jen Lin
  2. Subhro Roy
  3. Yoav Artzi
  4. Luke S. Zettlemoyer
  5. Peter Clark
  6. Nate Kushman

Who trusts Yi-Chung Lin overall

  1. Yanyan Zou

Papers from Yi-Chung Lin's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Gradient-based learning applied to document recognition
  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. The Stanford CoreNLP Natural Language Processing Toolkit

Their papers