Yi-Lin Tuan

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Natural Language Processing — 20 citations into it
• Evaluation & Benchmarks — 19 citations into it

Whom Yi-Lin Tuan trusts overall

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

1. Diederik P. Kingma
2. Maja Popovic
3. Yinhan Liu
4. Satanjeev Banerjee
5. Jimmy Ba
6. Weizhe Yuan
7. Geoffrey E. Hinton

Papers from Yi-Lin Tuan's perspective

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

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

Their papers

• Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis (2022) — 25 citations