Amir Hossein Payberah

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Natural Language Processing — 25 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Amir Hossein Payberah trusts overall

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

1. Chin-Yew Lin

Papers from Amir Hossein Payberah's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Long Short-Term Memory
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. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. ImageNet: A large-scale hierarchical image database
9. Bleu: a Method for Automatic Evaluation of Machine Translation
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Cross-Domain Transfer of Generative Explanations Using Text-to-Text Models (2021) — 6 citations