Yi-An Lai

Natural Language Processing · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 16 citations into it
• Artificial Intelligence — 13 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Yi-An Lai trusts overall

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

1. Tomas Mikolov
2. Geoffrey E. Hinton
3. Richard Socher
4. Peter J. Rousseeuw
5. Alec Radford
6. Ilya Sutskever
7. Yoshua Bengio
8. L. V. D. van der Maaten
9. Jeffrey Pennington
10. Yann LeCun

Papers from Yi-An Lai's perspective

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

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

Their papers

• Diversity, Density, and Homogeneity: Quantitative Characteristic Metrics for Text Collections (2020) — 29 citations