Akram Erraqabi
Artificial Intelligence · 2016–2022
A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 48 citations into it
- Computer Vision and Pattern Recognition — 33 citations into it
- Efficiency & Compression — 20 citations into it
- Optimization & Training — 16 citations into it
- Safety, Robustness & Interpretability — 11 citations into it
- Generative Models — 5 citations into it
Whom Akram Erraqabi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ian J. Goodfellow
- Diederik P. Kingma
- Individualized Treat
- Geoffrey E. Hinton
- Yann LeCun
- Christian Szegedy
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
- Ilya Sutskever
Who trusts Akram Erraqabi overall
Papers from Akram Erraqabi's perspective
Ordered by how strongly the researchers Akram Erraqabi 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- A3T: Adversarially Augmented Adversarial Training (2018) — 9 citations
- Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints (2022) — 32 citations
- Diet Networks: Thin Parameters for Fat Genomic (2016) — 79 citations