Pamela Shapiro

Artificial Intelligence · 2019

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 — 25 citations into it
• Natural Language Processing — 21 citations into it

Whom Pamela Shapiro trusts overall

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

1. Yoshua Bengio
2. Philipp Koehn
3. Diederik P. Kingma
4. Kenneth Heafield
5. Dzmitry Bahdanau
6. Geoffrey E. Hinton
7. Jimmy Ba
8. Alex Graves
9. Kyunghyun Cho
10. Chenhui Chu

Who trusts Pamela Shapiro overall

1. Roee Aharoni
2. Dana Ruiter
3. Xin Wang

Papers from Pamela Shapiro's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Neural Machine Translation by Jointly Learning to Align and Translate (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. ImageNet: A large-scale hierarchical image database
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Curriculum Learning for Domain Adaptation in Neural Machine Translation (2019) — 131 citations