Jed Mills

Optimization & Training · 2020

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

Subfields

• Optimization & Training — 7 citations into it

Whom Jed Mills trusts overall

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

1. H. Brendan McMahan
2. Abhishek V A
3. Andrew Straiton Hard
4. Eider Moore
5. Alex Krizhevsky
6. Binny S
7. Daniel Ramage
8. Kanishka Rao

Who trusts Jed Mills overall

1. Dinh C. Nguyen
2. Hangyu Zhu
3. Xiaokang Zhou
4. Ming Ding
5. Jinjin Xu
6. Celimuge Wu
7. Wei Liang

Papers from Jed Mills's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Learning Multiple Layers of Features from Tiny Images
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Federated Learning for Mobile Keyboard Prediction
10. Dropout: a simple way to prevent neural networks from overfitting

Their papers

• Communication-Efficient Federated Learning for Wireless Edge Intelligence in IoT (2020) — 383 citations