Sue Felshin

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Natural Language Processing — 11 citations into it

Whom Sue Felshin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yoon Kim

Papers from Sue Felshin's perspective

Ordered by how strongly the researchers Sue Felshin trusts endorse each paper. Same corpus, a different order for every researcher.

1. GloVe: Global Vectors for Word Representation
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. On the Properties of Neural Machine Translation: Encoder–Decoder Approaches
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Learning to Answer Questions from Wikipedia Infoboxes (2016) — 19 citations