John Glover

Natural Language Processing · 2019

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 23 citations into it
• Artificial Intelligence — 22 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it

Whom John Glover trusts overall

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

1. Guillaume Lample
2. Yoshua Bengio
3. Ilya Sutskever
4. Geoffrey E. Hinton
5. Kyunghyun Cho
6. Orhan Firat
7. Diederik P. Kingma
8. Quoc V. Le
9. Ashish Vaswani
10. Alex Krizhevsky

Papers from John Glover's perspective

Ordered by how strongly the researchers John Glover 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

• Evaluating the Supervised and Zero-shot Performance of Multi-lingual Translation Models (2019) — 15 citations