Jennifer Spenader

Artificial Intelligence · 2006–2019

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Natural Language Processing — 18 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Language and Linguistics — 5 citations into it

Whom Jennifer Spenader trusts overall

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

1. Reinhard Blutner
2. A. Prince
3. Rico Sennrich
4. Paul D. Elbourne
5. Paul Smolensky
6. Armand Joulin
7. Dzmitry Bahdanau
8. Yoshua Bengio

Papers from Jennifer Spenader's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet classification with deep convolutional neural networks
6. Long Short-Term Memory
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. Neural Machine Translation of Rare Words with Subword Units
10. Bleu: a Method for Automatic Evaluation of Machine Translation

Their papers

• Neural Machine Translation for English–Kazakh with Morphological Segmentation and Synthetic Data (2019) — 12 citations
• When Production Precedes Comprehension: An Optimization Approach to the Acquisition of Pronouns (2006) — 146 citations