Elena Paslaru Bontas Simperl
Artificial Intelligence · 2009–2022
A researcher in the Science corpus: 4 papers; trusts 60 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 68 citations into it; #27,534 of 35,345 by trust here, #8,619 by citations
- Natural Language Processing — 64 citations into it; #4,774 of 5,688 by trust here, #2,307 by citations
- Computer Vision and Pattern Recognition — 22 citations into it
- Evaluation & Benchmarks — 10 citations into it
- Model Architectures — 9 citations into it
- Communication — 7 citations into it
Whom Elena Paslaru Bontas Simperl trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ilya Sutskever
- Chin-Yew Lin
- Thorsten Joachims
- Oriol Vinyals
- Geoffrey E. Hinton
- Yoshua Bengio
- Alexander M. Rush
- Christopher D. Manning
- Diederik P. Kingma
- Sepp Hochreiter
Who trusts Elena Paslaru Bontas Simperl overall
Papers from Elena Paslaru Bontas Simperl's perspective
Ordered by how strongly the researchers Elena Paslaru Bontas Simperl trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
Their papers
- T-REx: A Large Scale Alignment of Natural Language with Knowledge Base Triples (2018) — 381 citations
- Neural Wikipedian: Generating Textual Summaries from Knowledge Base Triples (2017) — 70 citations
- Using natural language generation to bootstrap missing Wikipedia articles: A human-centric perspective (2022) — 13 citations
- The Semantic Web: Research and Applications (2009) — 1,657 citations