Deniz Yuret

Artificial Intelligence · 2007–2020

A researcher in the Science corpus: 7 papers; trusts 107 researchers and is trusted by 66 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 57 citations into it; #3,698 of 35,345 by trust here, #5,458 by citations
• Natural Language Processing — 53 citations into it; #890 of 5,688 by trust here, #1,274 by citations
• Computer Vision and Pattern Recognition — 23 citations into it; #5,972 of 21,575 by trust here, #5,620 by citations
• Model Architectures — 14 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Deniz Yuret trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Andreas Stolcke
2. Ilya Sutskever
3. Diana McCarthy
4. Yoshua Bengio
5. Paul J. Werbos
6. Sepp Hochreiter
7. Geoffrey E. Hinton
8. J. Urgen Schmidhuber
9. Yann LeCun
10. Oriol Vinyals

Who trusts Deniz Yuret overall

1. Oren Melamud
2. Raj Dabre
3. Chris Biemann
4. Mohit Shridhar
5. Ido Dagan
6. Jacob Goldberger
7. Chenhui Chu
8. Yonatan Belinkov
9. Graham Neubig
10. Mi-young Kang

Papers from Deniz Yuret's perspective

Ordered by how strongly the researchers Deniz Yuret trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Transfer Learning for Low-Resource Neural Machine Translation (2016) — 925 citations
• Natural Language Communication with Robots (2016) — 127 citations
• Why Neural Translations are the Right Length (2016) — 69 citations
• KUISAIL at SemEval-2020 Task 12: BERT-CNN for Offensive Speech Identification in Social Media (2020) — 378 citations
• Learning Syntactic Categories Using Paradigmatic Representations of Word Context (2012) — 49 citations
• FASTSUBS: An Efficient and Exact Procedure for Finding the Most Likely Lexical Substitutes Based on an N-Gram Language Model (2012) — 28 citations
• The CoNLL 2007 Shared Task on Dependency Parsing (2007) — 776 citations