M. Pourreza

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Natural Language Processing — 17 citations into it
• Large Language Models — 9 citations into it
• Prompting & Reasoning — 9 citations into it
• Information Systems — 8 citations into it

Whom M. Pourreza trusts overall

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

1. Sepp Hochreiter
2. Tao Yu
3. Ilya Sutskever
4. J. Urgen Schmidhuber
5. Geoffrey E. Hinton
6. Jason Wei
7. Yoshua Bengio
8. Diederik P. Kingma
9. Victor Zhong
10. Richard Socher

Who trusts M. Pourreza overall

1. Ruoxi Sun
2. Sercan Ö. Arik

Papers from M. Pourreza's perspective

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

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

Their papers

• DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction (2023) — 761 citations