Huihan Yao

2021

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

Whom Huihan Yao trusts overall

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

1. Xisen Jin
2. Geoffrey E. Hinton
3. Ruining He
4. Yoshua Bengio
5. Diederik P. Kingma
6. Alex Krizhevsky
7. Mukund Sundararajan
8. Theresa Wilson
9. Jian Liang
10. Piyawat Lertvittayakumjorn

Who trusts Huihan Yao overall

1. Xi Ye

Papers from Huihan Yao's perspective

Ordered by how strongly the researchers Huihan Yao trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Refining Language Models with Compositional Explanations (2021) — 38 citations