Simon Moura

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Natural Language Processing — 9 citations into it

Whom Simon Moura trusts overall

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

1. Xavier Glorot
2. Yoshua Bengio
3. Koby Crammer
4. Barbara Plank
5. Jeff Mitchell
6. Jeffrey Pennington
7. Anastasia Giahanou
8. Svetlana Kiritchenko
9. Richard Socher
10. Chris Dyer

Who trusts Simon Moura overall

1. Vineet John

Papers from Simon Moura's perspective

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

1. Long Short-Term Memory
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. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. GloVe: Global Vectors for Word Representation
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Multitask Learning for Fine-Grained Twitter Sentiment Analysis (2017) — 94 citations