Yihe Dong
Artificial Intelligence · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 60 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 61 citations into it
- Model Architectures — 23 citations into it
- Computer Vision and Pattern Recognition — 20 citations into it
- Privacy & Security — 19 citations into it
- Natural Language Processing — 12 citations into it
- Computer Science Applications — 7 citations into it
- Statistics and Probability — 6 citations into it
- Management Science and Operations Research — 5 citations into it
Whom Yihe Dong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Oriol Vinyals
- Cynthia Dwork
- Geoffrey E. Hinton
- Yoshua Bengio
- X. Zhang
- Alex Krizhevsky
- Diederik P. Kingma
- Ilya Sutskever
- Shaoqing Ren
Who trusts Yihe Dong overall
Papers from Yihe Dong's perspective
Ordered by how strongly the researchers Yihe Dong 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth (2021) — 569 citations
- CoinPress: Practical Private Mean and Covariance Estimation (2020) — 131 citations