Keh-Yih Su
Artificial Intelligence · 2016–2020
A researcher in the Science corpus: 3 papers; trusts 43 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 42 citations into it; #17,970 of 35,345 by trust here, #12,387 by citations
- Natural Language Processing — 41 citations into it; #2,862 of 5,688 by trust here, #2,440 by citations
- Evaluation & Benchmarks — 8 citations into it; #1,955 of 3,147 by trust here, #1,740 by citations
- Information Systems — 8 citations into it; #4,637 of 8,771 by trust here, #2,203 by citations
- Computational Theory and Mathematics — 6 citations into it
- Prompting & Reasoning — 5 citations into it
Whom Keh-Yih Su trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Subhro Roy
- Dan Roth
- Peter Clark
- Steven Bird
- Christopher D. Manning
- Nate Kushman
- Oren Etzioni
- Luke S. Zettlemoyer
- Chih-Jen Lin
- Mohammad Javad Hosseini
Who trusts Keh-Yih Su overall
- Wei Dang Lu
- Lei Wang
- Dongxiang Zhang
- Yanyan Zou
- Mrinmaya Sachan
- Alessandro Stolfo
- Kumar Shridhar
- Satwik Bhattamishra
- Navin Goyal
- Arkil Patel
Papers from Keh-Yih Su's perspective
Ordered by how strongly the researchers Keh-Yih Su trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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)
- Bleu: a Method for Automatic Evaluation of Machine Translation
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers (2020) — 482 citations
- A Meaning-Based Statistical English Math Word Problem Solver (2018) — 26 citations
- A Tag-Based Statistical English Math Word Problem Solver with Understanding, Reasoning and Explanation (2016) — 25 citations