Georgina Peake
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it; #17,035 of 35,345 by trust here, #27,551 by citations
- Information Systems — 13 citations into it; #3,402 of 8,771 by trust here, #6,501 by citations
- Safety, Robustness & Interpretability — 9 citations into it
- Marketing — 5 citations into it
Whom Georgina Peake trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thomas Hofmann
- Yehuda Koren
- Rakesh Agrawal
- Marco Tulio Ribeiro
- Sebastian Riedel
- Behnoush Abdollahi
- Yifan Hu
- Badrul Munir Sarwar
- Sameer Singh
- Vicente Iván Sánchez Carmona
Who trusts Georgina Peake overall
Papers from Georgina Peake's perspective
Ordered by how strongly the researchers Georgina Peake 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)