Solmaz Niknam
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it
Whom Solmaz Niknam trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Solmaz Niknam overall
Papers from Solmaz Niknam's perspective
Ordered by how strongly the researchers Solmaz Niknam trusts endorse each paper. Same corpus, a different order for every researcher.
- Communication-Efficient Learning of Deep Networks from Decentralized Data
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Exploiting Unintended Feature Leakage in Collaborative Learning
Their papers
- Federated Learning for Wireless Communications: Motivation, Opportunities, and Challenges (2019) — 742 citations