Graeme Hirst
Artificial Intelligence · with Rudzicz · 2019
A researcher in the Science corpus: 1 paper; trusts 60 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 160 citations into it; #18,209 of 35,345 by trust here, #13,163 by citations
- Natural Language Processing — 126 citations into it; #3,166 of 5,688 by trust here, #2,808 by citations
- Computer Vision and Pattern Recognition — 44 citations into it
- Representation & Self-Supervised Learning — 30 citations into it
Whom Graeme Hirst trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Diederik P. Kingma
- Alex Krizhevsky
- Tomas Mikolov
- Yann LeCun
- Christopher D. Manning
- Oriol Vinyals
- Alex Graves
Who trusts Graeme Hirst overall
Papers from Graeme Hirst's perspective
Ordered by how strongly the researchers Graeme Hirst trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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
- 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)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)