Roger Iyengar
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it
- Privacy & Security — 14 citations into it
- Optimization & Training — 9 citations into it
Whom Roger Iyengar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Dwork
- Kamalika Chaudhuri
- Martin Jaggi
- Abhradeep Thakurta
- Adam D. Smith
- Prateek Jain
- Simon Lacoste-Julien
- Raef Bassily
- Daniel Kifer
- Frank McSherry
Who trusts Roger Iyengar overall
Papers from Roger Iyengar's perspective
Ordered by how strongly the researchers Roger Iyengar trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Intriguing properties of neural networks
Their papers
- Towards Practical Differentially Private Convex Optimization (2019) — 203 citations