Alireza Salemi

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Natural Language Processing — 18 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Evaluation & Benchmarks — 10 citations into it
• Information Systems — 7 citations into it

Whom Alireza Salemi trusts overall

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

1. Chin-Yew Lin
2. Gautier Izacard
3. Alec Go
4. Alex Wang
5. Ilya Loshchilov
6. Satanjeev Banerjee
7. Markus Freitag
8. Michael Färber
9. Jianing Zhou
10. Geoffrey E. Hinton

Papers from Alireza Salemi's perspective

Ordered by how strongly the researchers Alireza Salemi 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
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

• LaMP: When Large Language Models Meet Personalization (2023) — 494 citations