Joe Faulkner

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #31,001 of 35,345 by trust here, #25,809 by citations
• Natural Language Processing — 8 citations into it; #5,028 of 5,688 by trust here, #4,682 by citations

Whom Joe Faulkner trusts overall

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

1. Antoine Bordes
2. Dan Bohus
3. Jeffrey Pennington
4. Armand Joulin
5. Jason Aaron Edward Weston
6. Richard Socher

Who trusts Joe Faulkner overall

1. Aris Leivadeas
2. Vladimir Vlasov

Papers from Joe Faulkner's perspective

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

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

Their papers

• Rasa: Open Source Language Understanding and Dialogue Management (2017) — 487 citations