Elnaz Nouri
Artificial Intelligence · 2018–2022
A researcher in the Science corpus: 3 papers; trusts 53 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 48 citations into it; #9,294 of 35,345 by trust here, #20,377 by citations
- Natural Language Processing — 33 citations into it; #2,319 of 5,688 by trust here, #4,539 by citations
- Computer Vision and Pattern Recognition — 18 citations into it
- Large Language Models — 16 citations into it
- Prompting & Reasoning — 16 citations into it; #129 of 359 by trust here, #351 by citations
- Evaluation & Benchmarks — 13 citations into it
Whom Elnaz Nouri trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sepp Hochreiter
- Jeffrey Pennington
- Richard Socher
- Nikola Mrksic
- J. Urgen Schmidhuber
- Abhinav Rastogi
- Geoffrey E. Hinton
- Kazuma Hashimoto
- Yoshua Bengio
- Diederik P. Kingma
Who trusts Elnaz Nouri overall
- Li Zhou
- Hwaran Lee
- Zhaojiang Lin
- Shuyang Gao
- Yichun Yin
- Lu Chen
- Kevin Small
- Andrea Madotto
- Tuhin Chakrabarty
- Jinsik Lee
Papers from Elnaz Nouri's perspective
Ordered by how strongly the researchers Elnaz Nouri trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Toward Scalable Neural Dialogue State Tracking Model (2018) — 84 citations
- GODEL: Large-Scale Pre-Training for Goal-Directed Dialog (2022) — 80 citations
- HELP ME THINK: A Simple Prompting Strategy for Non-experts to Create Customized Content with Models (2022) — 33 citations