Alexander Sludds

Electrical and Electronic Engineering · 2018

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

• Electrical and Electronic Engineering — 24 citations into it
• Artificial Intelligence — 19 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Atomic and Molecular Physics, and Optics — 7 citations into it

Whom Alexander Sludds trusts overall

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

1. David A. B. Miller
2. Alex Krizhevsky
3. Alexander N. Tait
4. Geoffrey E. Hinton
5. Alireza Marandi
6. Ilya Sutskever
7. Vivienne Sze

Papers from Alexander Sludds's perspective

Ordered by how strongly the researchers Alexander Sludds 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. ImageNet Large Scale Visual Recognition Challenge
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Going deeper with convolutions
7. Improving neural networks by preventing co-adaptation of feature detectors
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Large-Scale Optical Neural Networks based on Photoelectric Multiplication (2018) — 413 citations