Yige Xu
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 176 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 216 citations into it; #14,564 of 35,345 by trust here, #5,682 by citations
- Natural Language Processing — 142 citations into it; #2,873 of 5,688 by trust here, #2,567 by citations
- Computer Vision and Pattern Recognition — 84 citations into it
- Large Language Models — 62 citations into it
- Representation & Self-Supervised Learning — 59 citations into it
- Model Architectures — 28 citations into it
- Evaluation & Benchmarks — 12 citations into it
Whom Yige Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Diederik P. Kingma
- Alex Graves
- Alex Krizhevsky
- Yann LeCun
- Kaiming He
- Quoc V. Le
- Tomas Mikolov
Who trusts Yige Xu overall
Papers from Yige Xu's perspective
Ordered by how strongly the researchers Yige Xu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Pre-trained models for natural language processing: A survey (2020) — 1,716 citations
- How to Fine-Tune BERT for Text Classification? (2019) — 1,803 citations