Shuly Wintner
Artificial Intelligence · 2011–2021
A researcher in the Science corpus: 8 papers; trusts 105 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 87 citations into it; #9,590 of 35,345 by trust here, #10,566 by citations
- Natural Language Processing — 85 citations into it; #2,138 of 5,688 by trust here, #2,930 by citations
- Computer Vision and Pattern Recognition — 23 citations into it
- Evaluation & Benchmarks — 23 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
- Safety, Robustness & Interpretability — 10 citations into it
- Information Systems — 9 citations into it
- General Social Sciences — 5 citations into it
Whom Shuly Wintner trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Philipp Koehn
- Moshe Koppel
- Kenneth Heafield
- Shachar Mirkin
- Christopher D. Manning
- Geoffrey E. Hinton
- Yoshua Bengio
- Noam Ordan
- Andrew Y. Ng
- Diederik P. Kingma
Who trusts Shuly Wintner overall
- Eva Vanmassenhove
- Paul Michel
- Christian Hardmeier
- Yulia Tsvetkov
- Anjalie Field
- Dayiheng Liu
- Sauleh Eetemadi
- Ella Rabinovich
- Graham Neubig
- Nizar Habash
Papers from Shuly Wintner's perspective
Ordered by how strongly the researchers Shuly Wintner 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)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- 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)
- ImageNet: A large-scale hierarchical image database
Their papers
- On the features of translationese (2015) — 217 citations
- Language Models for Machine Translation: Original vs. Translated Texts (2011) — 112 citations
- Personalized Machine Translation: Preserving Original Author Traits (2016) — 125 citations
- Unsupervised Identification of Translationese (2015) — 55 citations
- Identifying translationese at the word and sub-word level (2016) — 28 citations
- Machine Translation into Low-resource Language Varieties (2021) — 34 citations
- Topics to Avoid: Demoting Latent Confounds in Text Classification (2019) — 35 citations
- Native Language Cognate Effects on Second Language Lexical Choice (2018) — 43 citations