Ali Akbari

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it
• Safety Research — 19 citations into it
• Safety, Robustness & Interpretability — 19 citations into it
• Health Informatics — 16 citations into it

Whom Ali Akbari trusts overall

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

1. Warren J. von Eschenbach
2. Finale Doshi-Velez
3. Tim Miller
4. Anna Jobin
5. Mengnan Du
6. Yunfeng Zhang
7. Wilko Schwarting
8. Martin Adam
9. Onur Asan
10. Volodymyr Mnih

Papers from Ali Akbari's perspective

Ordered by how strongly the researchers Ali Akbari 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. Playing Atari with Deep Reinforcement Learning (arXiv.org)
3. ImageNet classification with deep convolutional neural networks
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. Gradient-based learning applied to document recognition
8. Towards A Rigorous Science of Interpretable Machine Learning
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Trust in AI: progress, challenges, and future directions (2024) — 403 citations