Andrew G. Howard

Artificial Intelligence · with Jebara · 2004–2013

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 3,511 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #920 of 35,345 by trust here, #10,566 by citations
• Computer Vision and Pattern Recognition — 7 citations into it; #593 of 21,575 by trust here, #7,421 by citations

Whom Andrew G. Howard trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. David Hilton Wolpert
5. Matthew D. Zeiler
6. Yann LeCun
7. Judea Pearl
8. Dan Claudiu Ciresan
9. Robert M. Bell
10. Yoshua Bengio

Who trusts Andrew G. Howard overall

1. Kaiming He
2. X. Zhang
3. Ekin Dogus Cubuk
4. Wei David Liu
5. Yi Yang
6. Fisher Yu
7. Ting-Li Chen
8. Quoc V. Le
9. Maithra Raghu
10. Yoshua Bengio

Papers from Andrew G. Howard's perspective

Ordered by how strongly the researchers Andrew G. 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Some Improvements on Deep Convolutional Neural Network Based Image Classification (2013) — 443 citations
• Probability Product Kernels (2004) — 581 citations