Ryan Doherty

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #31,197 of 35,345 by trust here, #32,362 by citations
• Natural Language Processing — 8 citations into it
• Representation & Self-Supervised Learning — 8 citations into it; #2,822 of 3,145 by trust here, #3,047 by citations

Whom Ryan Doherty trusts overall

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

1. Tomas Mikolov
2. John C. Duchi
3. Jeffrey Pennington
4. B. Recht
5. Richard Socher
6. Joseph Dean

Who trusts Ryan Doherty overall

1. Maria Antoniak

Papers from Ryan Doherty's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. GloVe: Global Vectors for Word Representation
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Efficient Estimation of Word Representations in Vector Space
10. ImageNet: A large-scale hierarchical image database

Their papers

• Swivel: Improving Embeddings by Noticing What's Missing (2016) — 81 citations