Mani Malek

Artificial Intelligence · 2021

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 78 citations into it
• Optimization & Training — 43 citations into it
• Federated & Distributed Learning — 30 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Electrical and Electronic Engineering — 7 citations into it

Whom Mani Malek trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky

Papers from Mani Malek's perspective

Ordered by how strongly the researchers Mani Malek trusts endorse each paper. Same corpus, a different order for every researcher.

1. Learning Multiple Layers of Features from Tiny Images
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Opacus: User-Friendly Differential Privacy Library in PyTorch (2021) — 551 citations
• Papaya: Practical, Private, and Scalable Federated Learning (2021) — 172 citations
• Federated Learning with Buffered Asynchronous Aggregation (2021) — 469 citations