Matthew Ruttley
Artificial Intelligence · 2016
A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it
- Representation & Self-Supervised Learning — 12 citations into it
- Graph Learning — 7 citations into it
- Natural Language Processing — 7 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Matthew Ruttley trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Matthew Ruttley's perspective
Ordered by how strongly the researchers Matthew Ruttley trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- GloVe: Global Vectors for Word Representation
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database