Khouloud Dahmane
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 5 citations into it
- Generative Models — 5 citations into it
Whom Khouloud Dahmane trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Khouloud Dahmane's perspective
Ordered by how strongly the researchers Khouloud Dahmane trusts endorse each paper. Same corpus, a different order for every researcher.
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Conditional Generative Adversarial Nets
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Baselines and a datasheet for the Cerema AWP dataset (2018) — 12 citations