Dana Ruiter

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it
• Natural Language Processing — 29 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Evaluation & Benchmarks — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Dana Ruiter trusts overall

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

1. Philipp Koehn
2. Mikel Artetxe
3. Yoshua Bengio
4. Holger Schwenk
5. Kenneth Heafield
6. Tomas Mikolov
7. Rico Sennrich
8. Ilya Sutskever
9. Guillaume Lample
10. Geoffrey E. Hinton

Papers from Dana Ruiter's perspective

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

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

Their papers

• Self-Induced Curriculum Learning in Self-Supervised Neural Machine Translation (2020) — 14 citations