Paul Jones

Artificial Intelligence · with Moon · 2017

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it; #28,657 of 35,345 by trust here, #33,294 by citations
• Representation & Self-Supervised Learning — 5 citations into it

Whom Paul Jones trusts overall

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

1. Maximilian Nickel
2. L. V. D. van der Maaten
3. Geoffrey E. Hinton
4. Antoine Bordes
5. John C. Duchi
6. Ruobing Xie
7. Yoshua Bengio

Who trusts Paul Jones overall

1. Avishek Joey Bose

Papers from Paul Jones's perspective

Ordered by how strongly the researchers Paul Jones 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Learning Entity Type Embeddings for Knowledge Graph Completion (2017) — 112 citations