Howard Yen

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Natural Language Processing — 23 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Evaluation & Benchmarks — 9 citations into it
• Retrieval-Augmented Generation — 9 citations into it

Whom Howard Yen trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Ilya Sutskever
5. Alex Krizhevsky
6. Gautier Izacard
7. Samuel R. Bowman
8. Kyunghyun Cho
9. Yann LeCun
10. Kaiming He

Who trusts Howard Yen overall

1. Akari Asai

Papers from Howard Yen's perspective

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

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

Their papers

• Enabling Large Language Models to Generate Text with Citations (2023) — 689 citations