Julie Hunter
2018
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Julie Hunter trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Julie Hunter's perspective
Ordered by how strongly the researchers Julie Hunter trusts endorse each paper. Same corpus, a different order for every researcher.
- A Joint Model of Language and Perception for Grounded Attribute Learning
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Robot Programming by Demonstration with situated spatial language understanding