Haau-Sing Li

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 37 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 68 citations into it; #32,574 of 35,345 by trust here, #21,316 by citations
• Natural Language Processing — 66 citations into it
• Evaluation & Benchmarks — 26 citations into it
• Large Language Models — 18 citations into it

Whom Haau-Sing Li trusts overall

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

1. Diederik P. Kingma
2. Allyson Ettinger
3. Geoffrey E. Hinton
4. Jacob Devlin
5. Yoshua Bengio
6. Alex Wang
7. Ilya Sutskever
8. Jimmy Ba
9. Alex Krizhevsky
10. Alex Warstadt

Who trusts Haau-Sing Li overall

1. Samuel R. Bowman

Papers from Haau-Sing Li's perspective

Ordered by how strongly the researchers Haau-Sing Li trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• When Do You Need Billions of Words of Pretraining Data? (2020) — 164 citations
• Learning Helpful Inductive Biases from Self-Supervised Pretraining (2020) — 28 citations