Aidmar Wainakh

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Safety, Robustness & Interpretability — 8 citations into it

Whom Aidmar Wainakh trusts overall

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

1. Reza Shokri
2. H. Brendan McMahan
3. Milad Nasr
4. Vitaly Shmatikov
5. Deepesh Data
6. Shiqi Shen
7. Dong Yin
8. Congzheng Song
9. Daniel Ramage
10. Alex Krizhevsky

Papers from Aidmar Wainakh's perspective

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

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

Their papers

• Enhancing Privacy via Hierarchical Federated Learning (2020) — 57 citations