Hongyin Luo
Artificial Intelligence · 2019–2023
A researcher in the Science corpus: 2 papers; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 54 citations into it
- Computer Vision and Pattern Recognition — 24 citations into it
- Natural Language Processing — 24 citations into it
- Model Architectures — 17 citations into it
- Optimization & Training — 6 citations into it
Whom Hongyin Luo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Stephen Merity
- Richard Socher
- Geoffrey E. Hinton
- Tomas Mikolov
- Dzmitry Bahdanau
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Yann LeCun
Papers from Hongyin Luo's perspective
Ordered by how strongly the researchers Hongyin Luo trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models (2023) — 397 citations
- Improving Neural Language Models by Segmenting, Attending, and Predicting the Future (2019) — 14 citations