Haolin Song

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 113 citations into it
• Natural Language Processing — 90 citations into it
• Evaluation & Benchmarks — 16 citations into it

Whom Haolin Song trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Ilya Sutskever
5. Alex Krizhevsky
6. Yann LeCun
7. Kaiming He
8. Alex Graves
9. Chin-Yew Lin
10. Ruslan Salakhutdinov

Papers from Haolin Song's perspective

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

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

Their papers

• A Survey of Controllable Text Generation Using Transformer-based Pre-trained Language Models (2022) — 359 citations