Marzieh Saeidi

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 7 papers; trusts 188 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 210 citations into it; #29,361 of 35,345 by trust here, #13,163 by citations
• Natural Language Processing — 165 citations into it; #4,772 of 5,688 by trust here, #3,107 by citations
• Computer Vision and Pattern Recognition — 92 citations into it
• Evaluation & Benchmarks — 62 citations into it
• Large Language Models — 47 citations into it
• Information Systems — 27 citations into it
• Sociology and Political Science — 21 citations into it
• Representation & Self-Supervised Learning — 19 citations into it

Whom Marzieh Saeidi trusts overall

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

1. Ilya Sutskever
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Jacob Devlin
7. Alex Graves
8. Pranav Rajpurkar
9. Yann LeCun
10. Kaiming He

Who trusts Marzieh Saeidi overall

1. Neema Kotonya
2. Majid Yazdani
3. Andreas Vlachos
4. Kevin Lin
5. Huihan Li
6. Qiao Jin
7. James Thorne
8. Amelia Glaese
9. Hsin-Yuan Huang
10. Eunsol Choi

Papers from Marzieh Saeidi's perspective

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

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

Their papers

• Interpretation of Natural Language Rules in Conversational Machine Reading (2018) — 174 citations
• Generating Fact Checking Briefs (2020) — 66 citations
• Prompt-free and Efficient Few-shot Learning with Language Models (2022) — 76 citations
• Cross-Policy Compliance Detection via Question Answering (2021) — 11 citations
• Preserving integrity in online social networks (2020) — 64 citations
• Neural Databases (2020) — 9 citations
• Policy Compliance Detection via Expression Tree Inference (2022)