Yun Zhou
Artificial Intelligence · with Croft · 2002–2020
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 30 citations into it; #11,248 of 35,345 by trust here, #18,186 by citations
Whom Yun Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Yun Zhou overall
- Jaime Teevan
- Claudia Hauff
- Xitong Liu
- Le Zhao
- Susan T. Dumais
- Diane Kelly
- Hui Fang
- Ben He
- Leif Azzopardi
- Daniel J. Liebling
Papers from Yun Zhou's perspective
Ordered by how strongly the researchers Yun Zhou trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Distilling the Knowledge in a Neural Network (arXiv.org)
- RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
- Long Short-Term Memory
- A large annotated corpus for learning natural language inference
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Information Theory: 1948-1998 - Guest Editorial
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- DiPair: Fast and Accurate Distillation for Trillion-ScaleText Matching and Pair Modeling (2020) — 29 citations
- Query performance prediction in web search environments (2007) — 310 citations
- Predicting query performance (2002) — 826 citations