Colin Graber

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 115 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it; #17,239 of 21,575 by trust here, #21,424 by citations
• Artificial Intelligence — 20 citations into it; #27,996 of 35,345 by trust here, #34,943 by citations
• Model Architectures — 8 citations into it
• Natural Language Processing — 7 citations into it; #4,606 of 5,688 by trust here, #5,662 by citations
• Optimization & Training — 7 citations into it

Whom Colin Graber trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. Judea Pearl
6. Alexander Gerhard Schwing
7. Yoshua Bengio
8. Yann LeCun
9. Diederik P. Kingma
10. Martin J. Wainwright

Who trusts Colin Graber overall

1. Yassine Yaakoubi
2. François Soumis

Papers from Colin Graber's perspective

Ordered by how strongly the researchers Colin Graber 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Deep Structured Prediction with Nonlinear Output Transformations (2018) — 27 citations