Jonathan Prag

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Natural Language Processing — 16 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Model Architectures — 7 citations into it

Whom Jonathan Prag trusts overall

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

1. Ilya Sutskever
2. Wojciech Zaremba
3. Thang Luong

Papers from Jonathan Prag's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Recurrent Neural Network Regularization
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Effective Approaches to Attention-based Neural Machine Translation
10. ImageNet: A large-scale hierarchical image database

Their papers

• Restoring ancient text using deep learning: a case study on Greek epigraphy (2019) — 78 citations