Ann Clifton
Artificial Intelligence · 2015–2017
A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 47 citations into it; #12,669 of 35,345 by trust here, #11,750 by citations
- Natural Language Processing — 29 citations into it; #2,884 of 5,688 by trust here, #3,053 by citations
- Optimization & Training — 26 citations into it; #1,849 of 2,601 by trust here, #1,986 by citations
- Model Architectures — 11 citations into it
- Computational Mechanics — 9 citations into it
Whom Ann Clifton trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yurii E. Nesterov
- Geoffrey E. Hinton
- Michael Collins
- Yoshua Bengio
- Ilya Sutskever
- Jimmy Ba
- Rico Sennrich
- Alex Krizhevsky
- Francis R. Bach
Who trusts Ann Clifton overall
Papers from Ann Clifton's perspective
Ordered by how strongly the researchers Ann Clifton trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Layer Normalization
Their papers
- Sockeye: A Toolkit for Neural Machine Translation (2017) — 217 citations
- Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields (2015) — 83 citations