Shuning Jin
Artificial Intelligence · 2018
A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 90 citations into it
- Natural Language Processing — 88 citations into it
Whom Shuning Jin trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Samuel R. Bowman (in Artificial Intelligence)
- Diederik P. Kingma (in Artificial Intelligence)
- Christopher D. Manning (in Artificial Intelligence)
- Jimmy Ba (in Artificial Intelligence)
- Yoshua Bengio (in Artificial Intelligence)
- Richard Socher (in Artificial Intelligence)
- Ilya Sutskever (in Artificial Intelligence)
- Quoc V. Le (in Artificial Intelligence)
- Geoffrey E. Hinton (in Artificial Intelligence)
- Luke S. Zettlemoyer (in Natural Language Processing)
Papers from Shuning Jin's perspective
Ordered by how strongly the researchers Shuning Jin trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Microsoft COCO: Common Objects in Context
- Improving Language Understanding by Generative Pre-Training
- Natural Language Processing (Almost) from Scratch
- Deep Contextualized Word Representations (North American Chapter of the Association for Computational Linguistics)
- Skip-Thought Vectors
Their papers
- Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling (2018) — 113 citations
- Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling (2018) — 28 citations