Faton Rekathati

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Multimodal Learning — 7 citations into it

Whom Faton Rekathati trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Yann LeCun
4. Yoshua Bengio
5. Jacob Devlin
6. Alex Krizhevsky
7. Ron Mokady
8. Oriol Vinyals
9. Tsung-Yi Lin

Papers from Faton Rekathati's perspective

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

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

Their papers

• Cross-lingual and Multilingual CLIP (2022) — 74 citations