Michael Noseworthy
Natural Language Processing · 2016–2017
A researcher in the Science corpus: 2 papers; trusts 32 researchers and is trusted by 49 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 53 citations into it; #1,188 of 5,688 by trust here, #631 by citations
- Artificial Intelligence — 47 citations into it; #4,898 of 35,345 by trust here, #2,646 by citations
- Evaluation & Benchmarks — 22 citations into it; #1,055 of 3,147 by trust here, #536 by citations
Whom Michael Noseworthy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Alessandro Sordoni
- Alex Graves
- Jiwei Li
- Sepp Hochreiter
- Ilya Sutskever
- Jimmy Ba
- Iulian Serban
- Diederik P. Kingma
Who trusts Michael Noseworthy overall
- Ananya B. Sai
- Jianfeng Gao
- Iulian Serban
- Shikib Mehri
- Lu Li
- Sarik Ghazarian
- Jiwei Li
- Maxine Eskénazi
- Eric Michael Smith
- Wangchunshu Zhou
Papers from Michael Noseworthy's perspective
Ordered by how strongly the researchers Michael Noseworthy trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- 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)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)