Nicholas Egan

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Natural Language Processing — 32 citations into it
• Evaluation & Benchmarks — 22 citations into it
• Large Language Models — 9 citations into it

Whom Nicholas Egan trusts overall

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

1. Chin-Yew Lin
2. Alec Radford
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Jacob Devlin
6. Maxime Peyrard
7. Ilya Sutskever
8. Diederik P. Kingma
9. Günes Erkan
10. Annie Louis

Who trusts Nicholas Egan overall

1. Mingkai Deng
2. Bowen Tan

Papers from Nicholas Egan's perspective

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

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

• Play the Shannon Game With Language Models: A Human-Free Approach to Summary Evaluation (2021) — 22 citations