Anas Barakat
Optimization & Training · 2019
A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Optimization & Training — 24 citations into it
- Artificial Intelligence — 19 citations into it
- Computational Mechanics — 16 citations into it
- Computational Theory and Mathematics — 7 citations into it
- Management Science and Operations Research — 7 citations into it
- Numerical Analysis — 7 citations into it
- Mathematical Physics — 6 citations into it
Whom Anas Barakat trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hédy Attouch
- Jérôme Bolte
- Diederik P. Kingma
- Timothy Dozat
- Sashank J. Reddi
- H. Brendan McMahan
- Razvan Pascanu
- Jerry Ma
- Yoshua Bengio
- Jimmy Ba
Papers from Anas Barakat's perspective
Ordered by how strongly the researchers Anas Barakat trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)