Amy Pu

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 52 citations into it; #33,440 of 35,345 by trust here, #20,836 by citations
• Natural Language Processing — 49 citations into it; #5,553 of 5,688 by trust here, #4,539 by citations
• Evaluation & Benchmarks — 33 citations into it; #2,887 of 3,147 by trust here, #2,410 by citations

Whom Amy Pu trusts overall

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

1. Qingsong Ma
2. Diederik P. Kingma
3. Thibault Sellam
4. Ondrej Bojar
5. Jacob Devlin
6. Geoffrey E. Hinton
7. Jimmy Ba
8. Yvette Graham
9. Yoshua Bengio
10. Ricardo Rei

Who trusts Amy Pu overall

1. Sebastian Gehrmann
2. Ricardo Rei
3. Shahriar Golchin
4. Markus Freitag
5. Nouha Dziri
6. Mihai Surdeanu
7. Nitika Mathur
8. Elizabeth Clark
9. Aohan Zeng
10. Thibault Sellam

Papers from Amy Pu's perspective

Ordered by how strongly the researchers Amy Pu 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
4. Long Short-Term Memory
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet classification with deep convolutional neural networks
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Gradient-based learning applied to document recognition

Their papers

• Learning Compact Metrics for MT (2021) — 119 citations
• Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task (2020) — 41 citations