Danqing Zhang
Artificial Intelligence · 2022
A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 31 citations into it
- Natural Language Processing — 19 citations into it
Whom Danqing Zhang trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Percy Liang (in Artificial Intelligence)
- Luke S. Zettlemoyer (in Artificial Intelligence)
- Christopher D. Manning (in Artificial Intelligence)
- Jacob Andreas (in Artificial Intelligence)
- Diederik P. Kingma (in Artificial Intelligence)
- Yoshua Bengio (in Artificial Intelligence)
- Michael Lewis (in Artificial Intelligence)
- Jimmy Ba (in Artificial Intelligence)
- Ilya Sutskever (in Artificial Intelligence)
- Geoffrey E. Hinton (in Artificial Intelligence)
Papers from Danqing Zhang's perspective
Ordered by how strongly the researchers Danqing Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- 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)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition