Elizabeth M. Merkhofer
Natural Language Processing · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 18 citations into it
- Artificial Intelligence — 17 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
Whom Elizabeth M. Merkhofer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Simon Ostermann
- Diederik P. Kingma
- Ilya Sutskever
- Tomas Mikolov
- Ashish Vaswani
- Geoffrey E. Hinton
- Rong-En Fan
- Adam Trischler
- Christopher D. Manning
- Yoshua Bengio
Who trusts Elizabeth M. Merkhofer overall
Papers from Elizabeth M. Merkhofer's perspective
Ordered by how strongly the researchers Elizabeth M. Merkhofer trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- 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)
- ImageNet: A large-scale hierarchical image database
Their papers
- MITRE at SemEval-2018 Task 11: Commonsense Reasoning without Commonsense Knowledge (2018) — 16 citations
- MITRE at SemEval-2017 Task 1: Simple Semantic Similarity (2017) — 8 citations