DeLesley S. Hutchins
Artificial Intelligence · 2017–2022
A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 41 citations into it; #26,558 of 35,345 by trust here, #13,544 by citations
- Model Architectures — 23 citations into it; #1,738 of 2,278 by trust here, #1,269 by citations
- Computer Vision and Pattern Recognition — 22 citations into it
- Natural Language Processing — 15 citations into it
Whom DeLesley S. Hutchins trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Noam Shazeer
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Alex Krizhevsky
- Diederik P. Kingma
- John Hughes
- Richard Socher
- Yann LeCun
- Alex Graves
Who trusts DeLesley S. Hutchins overall
Papers from DeLesley S. Hutchins's perspective
Ordered by how strongly the researchers DeLesley S. Hutchins trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- Deep Learning with Dynamic Computation Graphs (2017) — 139 citations
- Memorizing Transformers (2022) — 249 citations