Haiqing Chen
Artificial Intelligence · 2018–2021
A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 52 citations into it
- Natural Language Processing — 30 citations into it
Whom Haiqing Chen trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma (in Artificial Intelligence)
- Quoc V. Le (in Artificial Intelligence)
- Yoshua Bengio (in Artificial Intelligence)
- Jimmy Ba (in Artificial Intelligence)
- Oriol Vinyals (in Artificial Intelligence)
- Ilya Sutskever (in Artificial Intelligence)
- Geoffrey E. Hinton (in Artificial Intelligence)
- Jason Aaron Edward Weston (in Artificial Intelligence)
- Yoon Kim (in Artificial Intelligence)
- Kyunghyun Cho (in Artificial Intelligence)
Papers from Haiqing Chen's perspective
Ordered by how strongly the researchers Haiqing Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet classification with deep convolutional neural networks
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Dropout: a simple way to prevent neural networks from overfitting
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition