Stephen D. Miller

Artificial Intelligence · with Maas · 2012

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 — 10 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Signal Processing — 5 citations into it

Whom Stephen D. Miller trusts overall

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

1. Yoshua Bengio
2. Quoc V. Le
3. Daniel Povey
4. Yann LeCun
5. Geoffrey E. Hinton
6. Xavier Glorot
7. Honglak Lee
8. Andrew Y. Ng
9. L. Eon Bottou
10. Alex Krizhevsky

Who trusts Stephen D. Miller overall

1. Herman Kamper
2. Shane Settle
3. Karen Livescu

Papers from Stephen D. Miller's perspective

Ordered by how strongly the researchers Stephen D. Miller 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Word-level Acoustic Modeling with Convolutional Vector Regression (2012)