Yong Lin

Artificial Intelligence · with Diao · 2022

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 54 citations into it

Whom Yong Lin trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Richard Socher
5. Alex Krizhevsky
6. Ilya Sutskever
7. Ilya Loshchilov
8. Yann LeCun
9. Kaiming He
10. J. Urgen Schmidhuber

Papers from Yong Lin's perspective

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

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

Their papers

• Black-box Prompt Learning for Pre-trained Language Models (2022) — 90 citations