Rowan Hall Maudslay

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 4 papers; trusts 19 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 53 citations into it; #11,366 of 35,345 by trust here, #8,999 by citations
• Natural Language Processing — 44 citations into it; #2,892 of 5,688 by trust here, #2,243 by citations
• Representation & Self-Supervised Learning — 16 citations into it
• Evaluation & Benchmarks — 10 citations into it

Whom Rowan Hall Maudslay trusts overall

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

1. John Hewitt
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Jacob Devlin
5. Christopher D. Manning
6. Alex Krizhevsky
7. Ilya Sutskever
8. Diederik P. Kingma
9. Nitish Srivastava
10. Jey Han Lau

Who trusts Rowan Hall Maudslay overall

1. Yonatan Belinkov
2. Eric Michael Smith
3. Divyansh Kaushik
4. Adina Williams
5. Mycal Tucker
6. Tiago Pimentel
7. Amrita Bhattacharjee
8. Haochen Liu
9. Zining Zhu
10. Kellie Webster

Papers from Rowan Hall Maudslay's perspective

Ordered by how strongly the researchers Rowan Hall Maudslay 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. Long Short-Term Memory
5. ImageNet classification with deep convolutional neural networks
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Information-Theoretic Probing for Linguistic Structure (2020) — 280 citations
• It’s All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution (2019) — 202 citations
• A Tale of a Probe and a Parser (2020) — 63 citations
• SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection (2020) — 90 citations