Mike Sheldon
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it
Whom Mike Sheldon trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Ilya Sutskever (in Artificial Intelligence)
Papers from Mike Sheldon's perspective
Ordered by how strongly the researchers Mike Sheldon trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Deep Contextualized Word Representations (North American Chapter of the Association for Computational Linguistics)
- Teaching Machines to Read and Comprehend
- SQuAD: 100,000+ Questions for Machine Comprehension of Text
- TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
- Bidirectional Attention Flow for Machine Comprehension
- A Decomposable Attention Model for Natural Language Inference
- Incorporating Copying Mechanism in Sequence-to-Sequence Learning
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Interpretation of Natural Language Rules in Conversational Machine Reading (2018) — 174 citations