Xiao Huang

Artificial Intelligence · with Ren · 2020

A researcher in the Science corpus: 1 paper; trusts 69 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it
• Natural Language Processing — 31 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Large Language Models — 7 citations into it
• Model Architectures — 5 citations into it

Whom Xiao Huang trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Alec Radford
4. Diederik P. Kingma
5. Dzmitry Bahdanau
6. Ilya Sutskever
7. Alex Krizhevsky
8. Yann LeCun
9. Kaiming He
10. Luke S. Zettlemoyer

Papers from Xiao Huang's perspective

Ordered by how strongly the researchers Xiao Huang 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. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
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

• Teaching Machine Comprehension with Compositional Explanations (2020) — 36 citations