Yi-Ling Chung
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 59 citations into it
- Natural Language Processing — 52 citations into it
- Safety, Robustness & Interpretability — 23 citations into it
- Communication — 19 citations into it
- Evaluation & Benchmarks — 9 citations into it
- AI Ethics, Fairness & Society — 8 citations into it
- Sociology and Political Science — 6 citations into it
- Law — 5 citations into it
Whom Yi-Ling Chung trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dirk Hovy
- Zeerak Talat
- Kevin Munger
- Filip Klubicka
- Rico Sennrich
- Binny Mathew
- Anders Johannsen
- P. Burnap
- Ryan J. Lowe
- Pierre-Emmanuel Mazaré
Who trusts Yi-Ling Chung overall
Papers from Yi-Ling Chung's perspective
Ordered by how strongly the researchers Yi-Ling Chung 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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)
- Language Models are Unsupervised Multitask Learners
- Gradient-based learning applied to document recognition