Sedir Mohammed

Artificial Intelligence · 2022

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

Subfields

• Artificial Intelligence — 14 citations into it

Whom Sedir Mohammed trusts overall

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

1. Douglas A. Reynolds
2. Diederik P. Kingma
3. Jimmy Ba
4. Timnit Gebru

Papers from Sedir Mohammed's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. ImageNet classification with deep convolutional neural networks
5. Scikit-learn: Machine Learning in Python
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. GENERATIVE ADVERSARIAL NETS

Their papers

• The effects of data quality on machine learning performance on tabular data (2022) — 161 citations