Eleftheria Briakou
Natural Language Processing · 2019–2021
A researcher in the Science corpus: 4 papers; trusts 91 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 76 citations into it
- Artificial Intelligence — 75 citations into it
- Evaluation & Benchmarks — 27 citations into it
- Computer Vision and Pattern Recognition — 26 citations into it
- Machine Translation — 5 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Eleftheria Briakou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rico Sennrich
- Philipp Koehn
- Diederik P. Kingma
- Barry Haddow
- Yoshua Bengio
- Geoffrey E. Hinton
- Jimmy Ba
- Alexandra Birch
- Tomas Mikolov
- Ilya Sutskever
Who trusts Eleftheria Briakou overall
Papers from Eleftheria Briakou's perspective
Ordered by how strongly the researchers Eleftheria Briakou 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)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- 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)
- 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
- Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer (2021) — 39 citations
- A Review of Human Evaluation for Style Transfer (2021) — 32 citations
- Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine Translation (2021) — 15 citations
- The University of Maryland’s Kazakh-English Neural Machine Translation System at WMT19 (2019) — 15 citations