Saleh Afroogh
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 Saleh Afroogh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Warren J. von Eschenbach
- Finale Doshi-Velez
- Tim Miller
- Anna Jobin
- Mengnan Du
- Yunfeng Zhang
- Wilko Schwarting
- Onur Asan
- Martin Adam
- Alon Jacovi
Papers from Saleh Afroogh's perspective
Ordered by how strongly the researchers Saleh Afroogh trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Trust in AI: progress, challenges, and future directions (2024) — 403 citations