Ruty Rinott
Natural Language Processing · 2018–2024
A researcher in the Science corpus: 3 papers; trusts 35 researchers and is trusted by 39 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 102 citations into it; #1,301 of 5,688 by trust here, #880 by citations
- Artificial Intelligence — 93 citations into it; #5,641 of 35,345 by trust here, #3,638 by citations
- Computer Vision and Pattern Recognition — 38 citations into it; #13,937 of 21,575 by trust here, #7,176 by citations
- Evaluation & Benchmarks — 32 citations into it; #1,152 of 3,147 by trust here, #744 by citations
- Representation & Self-Supervised Learning — 22 citations into it
Whom Ruty Rinott trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ilya Sutskever
- Geoffrey E. Hinton
- Tomas Mikolov
- Diederik P. Kingma
- Holger Schwenk
- Yoshua Bengio
- Alex Krizhevsky
- Sepp Hochreiter
- Yann LeCun
- Quoc V. Le
Who trusts Ruty Rinott overall
- Sebastian Ruder
- Alexis Conneau
- Zewen Chi
- Carlos Escolano
- Shijie Wu
- Ivan Vulic
- Wenhui Wang
- Li Dong
- Junjie Hu
- Linting Xue
Papers from Ruty Rinott's perspective
Ordered by how strongly the researchers Ruty Rinott trusts endorse each paper. Same corpus, a different order for every researcher.
- 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
- Attention is All you Need (Neural Information Processing Systems)
- 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
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- XNLI: Evaluating Cross-lingual Sentence Representations (2018) — 1,635 citations
- MLQA: Evaluating Cross-lingual Extractive Question Answering (2019) — 613 citations
- The Llama 3 Herd of Models (2024) — 17,085 citations