Nafise Sadat Moosavi
Artificial Intelligence · 2016–2022
A researcher in the Science corpus: 5 papers; trusts 220 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 148 citations into it; #18,726 of 35,345 by trust here, #20,377 by citations
- Natural Language Processing — 131 citations into it; #3,220 of 5,688 by trust here, #4,032 by citations
- Computer Vision and Pattern Recognition — 46 citations into it
- Evaluation & Benchmarks — 39 citations into it; #2,146 of 3,147 by trust here, #3,004 by citations
- Large Language Models — 15 citations into it
- Information Systems — 12 citations into it
- Model Architectures — 11 citations into it
- Molecular Biology — 10 citations into it
Whom Nafise Sadat Moosavi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sameer Pradhan
- Yoshua Bengio
- Geoffrey E. Hinton
- Dzmitry Bahdanau
- Diederik P. Kingma
- Xiaoqiang Luo
- Ilya Sutskever
- Christopher D. Manning
- Alex Krizhevsky
- Sam Wiseman
Who trusts Nafise Sadat Moosavi overall
Papers from Nafise Sadat Moosavi's perspective
Ordered by how strongly the researchers Nafise Sadat Moosavi trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation (2021) — 104 citations
- Which Coreference Evaluation Metric Do You Trust? A Proposal for a Link-based Entity Aware Metric (2016) — 166 citations
- Robustness in Coreference Resolution (2020) — 6 citations
- Adaptable Adapters (2022) — 21 citations
- Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures (2020) — 13 citations