Yi Zhang
Natural Language Processing · with Diab · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 40 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 48 citations into it; #5,183 of 5,688 by trust here, #5,214 by citations
- Artificial Intelligence — 42 citations into it; #32,162 of 35,345 by trust here, #30,347 by citations
- Computer Vision and Pattern Recognition — 12 citations into it
- Representation & Self-Supervised Learning — 12 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Yi Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hwee Tou Ng
- Rico Sennrich
- Daniel Dahlmeier
- Alec Radford
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Tao Ge
- Tomas Mikolov
- Diederik P. Kingma
Who trusts Yi Zhang overall
Papers from Yi Zhang's perspective
Ordered by how strongly the researchers Yi 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)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- 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)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- Diversity, Density, and Homogeneity: Quantitative Characteristic Metrics for Text Collections (2020) — 29 citations
- Sequence-to-sequence Pre-training with Data Augmentation for Sentence Rewriting (2019) — 19 citations