Marie Barking
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 12 citations into it; #11,690 of 35,345 by trust here, #21,878 by citations
- Computer Vision and Pattern Recognition — 8 citations into it
- Natural Language Processing — 7 citations into it; #2,262 of 5,688 by trust here, #4,183 by citations
- Multimodal Learning — 6 citations into it
- Speech & Audio — 6 citations into it; #429 of 1,076 by trust here, #797 by citations
- Signal Processing — 5 citations into it; #2,155 of 7,572 by trust here, #4,051 by citations
Whom Marie Barking trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- George A. Miller
- Karen Simonyan
- Steven Bird
- Geoffrey E. Hinton
- Grzegorz Chrupała
- Abdel-rahman Mohamed
- Andrew Zisserman
- Yoshua Bengio
- David F. Harwath
- Alex Krizhevsky
Who trusts Marie Barking overall
Papers from Marie Barking's perspective
Ordered by how strongly the researchers Marie Barking trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Microsoft COCO: Common Objects in Context
Their papers
- Encoding of phonology in a recurrent neural model of grounded speech (2017) — 60 citations