Alex Gabourie

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it; #20,832 of 21,575 by trust here, #21,103 by citations
• Artificial Intelligence — 25 citations into it; #34,204 of 35,345 by trust here, #34,213 by citations

Whom Alex Gabourie trusts overall

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

1. Yann LeCun
2. Diederik P. Kingma
3. Kaiming He
4. Karen Simonyan
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Yoshua Bengio
8. Yaroslav Ganin
9. Andrew Zisserman
10. Jimmy Ba

Who trusts Alex Gabourie overall

1. Mohammad Rostami
2. Aram Galstyan

Papers from Alex Gabourie's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment (2019) — 24 citations