Yapei Chang

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 97 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 73 citations into it
• Natural Language Processing — 48 citations into it
• Computer Vision and Pattern Recognition — 33 citations into it
• Evaluation & Benchmarks — 14 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Model Architectures — 7 citations into it
• Generative Models — 6 citations into it

Whom Yapei Chang trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Yann LeCun
5. Ilya Sutskever
6. Alex Krizhevsky
7. Kaiming He
8. Oriol Vinyals
9. Alex Graves
10. Alec Radford

Who trusts Yapei Chang overall

1. Kalpesh Krishna

Papers from Yapei Chang's perspective

Ordered by how strongly the researchers Yapei Chang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• RankGen: Improving Text Generation with Large Ranking Models (2022) — 87 citations