Hatim Aboalsamh
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 10 citations into it
- Signal Processing — 9 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
Whom Hatim Aboalsamh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Hatim Aboalsamh's perspective
Ordered by how strongly the researchers Hatim Aboalsamh trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- 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)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)