Annette Rios Gonzales

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 4 papers; trusts 69 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 100 citations into it; #12,630 of 35,345 by trust here, #8,210 by citations
• Natural Language Processing — 86 citations into it; #2,402 of 5,688 by trust here, #1,857 by citations
• Computer Vision and Pattern Recognition — 36 citations into it; #13,582 of 21,575 by trust here, #17,757 by citations
• Evaluation & Benchmarks — 24 citations into it
• Model Architectures — 12 citations into it

Whom Annette Rios Gonzales trusts overall

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

1. Rico Sennrich
2. Barry Haddow
3. Geoffrey E. Hinton
4. George A. Miller
5. Diederik P. Kingma
6. Ilya Sutskever
7. Yoshua Bengio
8. Tomas Mikolov
9. Jimmy Ba
10. Alexandra Birch

Who trusts Annette Rios Gonzales overall

1. Yonatan Belinkov
2. Rico Sennrich
3. Yoav Goldberg
4. Rachel Bawden
5. Gongbo Tang
6. James R. Glass
7. Roee Aharoni
8. Chaojun Wang
9. Dario Stojanovski
10. Philipp Koehn

Papers from Annette Rios Gonzales's perspective

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

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

Their papers

• Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures (2018) — 276 citations
• Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets (2021) — 356 citations
• Domain Robustness in Neural Machine Translation (2019) — 104 citations
• Improving Word Sense Disambiguation in Neural Machine Translation with Sense Embeddings (2017) — 133 citations