Stuart Millar

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Computer Networks and Communications — 17 citations into it

Whom Stuart Millar trusts overall

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

1. Yoon Kim
2. Diederik P. Kingma
3. Nour Moustafa
4. Mahbod Tavallaee
5. Iman Sharafaldin
6. Xiaoyong Yuan
7. Alon Jacovi
8. Monika Roopak
9. Jimmy Ba
10. Ali Shiravi

Papers from Stuart Millar's perspective

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

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

Their papers

• Lucid: A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection (2020) — 334 citations