Shih-Ting Lin

Artificial Intelligence · with Durrett · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shih-Ting Lin trusts overall

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

  1. Qiang Ning
  2. Christopher D. Manning
  3. Nathanael Chambers
  4. Mike D. Mintz
  5. Ashish Vaswani

Papers from Shih-Ting Lin's perspective

Ordered by how strongly the researchers Shih-Ting 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. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet classification with deep convolutional neural networks
  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