Raeid Saqur

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 372 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Computer Vision and Pattern Recognition — 25 citations into it
• Graph Learning — 9 citations into it
• Model Architectures — 9 citations into it
• Multimodal Learning — 9 citations into it
• Natural Language Processing — 9 citations into it

Whom Raeid Saqur trusts overall

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

1. Kaiming He
2. Ronald J. Williams
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Sepp Hochreiter
6. Ross B. Girshick
7. Alex Krizhevsky
8. Diederik P. Kingma
9. Ilya Sutskever
10. Yann LeCun

Who trusts Raeid Saqur overall

1. Jiayuan Mao
2. Haoyue Shi
3. Jorge Armando Mendez Mendez
4. Zirui Zhao
5. Fei Zhao

Papers from Raeid Saqur's perspective

Ordered by how strongly the researchers Raeid Saqur 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Multimodal Graph Networks for Compositional Generalization in Visual Question Answering (2020) — 61 citations