Andrew Howard

Computer Vision and Pattern Recognition · with Duerig · 2015

A researcher in the Science corpus: 1 paper; trusts 169 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 69 citations into it
• Artificial Intelligence — 42 citations into it
• Model Architectures — 8 citations into it

Whom Andrew Howard trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Christian Szegedy
4. Jia Deng
5. Yann LeCun
6. Li Fei-Fei
7. Andrew Zisserman
8. Kaiming He
9. Yoshua Bengio
10. Rob Fergus

Papers from Andrew Howard's perspective

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

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

Their papers

• The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition (2015) — 374 citations